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Digital Poster - Cardiovascular
Weekend and Oral

Digital Poster (no CME credit)

SMRT Ed Session

SMRT Poster Presentations  (no CME credit)

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Cardiovascular Digital Poster (No CME Credit)
Parent Session Title

Imaging of Heart Failure

Program # 959 - 998

MR Angiography & Vessel Wall

Program # 1611 - 1650

Velocity & Flow

Program # 2063 - 2102

Real-Time Cardiac MRI

Program # 2870 - 2909

Imaging of Heart Failure: Structure & Function

Imaging of Heart Failure
 Cardiovascular

0959
Highly Accelerated Cardiac Cine Imaging on a Lower-Field 0.75T MRI
Valery Vishnevskiy1, Christian Guenthner1, Charles McGrath1, and Sebastian Kozerke1

1University and ETH Zurich, Zurich, Switzerland

We investigated the feasibility of accelerating cardiac cine imaging on a 0.75T lower-field MRI system by performing retrospective k-t undersampling of cine data at acceleration factors of 3 to 10. Reconstructed images show no unexpected artefacts with nRMSE of 0.6% at 7-fold acceleration. Additionally, the magnetohydrodynamic effect (MHD) in the electrocardiogram was significantly reduced at 0.75T compared to 1.5T promising rapid and robust cine imaging at lower field.

0960
Ultrahigh Field Cardiac MRI in a Large Animal Model of Acute and Chronic Infarction
David Lohr1, Maya Bille1, Maxim Terekhov1, Michael Hock1, Ibrahim Elabyad1, Steffen Baltes1, Alena Kollmann1, Theresa Reiter1,2, Florian Schnitter2, Wolfgang Rudolf Bauer1,2, Ulrich Hofmann2, and Laura Maria Schreiber1

1Chair of Molecular and Cellular Imaging, Comprehensive Heart Failure Center (CHFC), University Hospital Würzburg, Würzburg, Germany, 2Department of Internal Medicine I, University Hospital Würzburg, Würzburg, Germany

Ultrahigh field cardiac MRI in a large animal model with acute and chronic infarction is feasible and enables high resolution functional imaging with 4- to 16-fold higher in-plane resolution compared to clinical systems. Blood-tissue contrast enabled clear identification of tissue boundaries, papillary muscle and the valves. Apical slices were akinetic. Mean values for ejection fraction [%] at baseline and 3-4, 10-14, and 60 days post MI were: 66±5, 45±7, 49±10, 50±5, respectively. Coefficients of variation for intra- and inter-observer variability in ejection fraction were 1.5% and 6.2%. T2*-weighted images and LGE enabled visualization of the infarct area.  


0961
2D Cardiac MR T1 Cine Multitasking: Initial Clinical Experience
Lu Huang1, Qi Liu2, Jingyuan Lyu2, Zhongqi Zhang3, Yanqun Teng3, Shuheng Zhang3, Jian Xu2, Weiguo Zhang2, and Liming Xia1

1Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, 2UIH America, Inc., Houston, TX, United States, 3United Imaging Healthcare, Shanghai, China

Here we report our initial clinical experience using a prototype 2D cardiac MR T1 cine multitasking technique with inline reconstruction on a clinical scanner without breath-hold and ECG triggering. Its results were compared with routine clinical cardiac MR techniques in assessing lesions in a patient group.

0962
Quantification of Left Ventricular Strain by Joint Analysis of 3D Tagging and Cine MR Images
Ezgi Berberoglu1, Christian Stoeck1, Sebastian Kozerke1, and Martin Genet2

1Institute for Biomedical Engineering, University and ETH Zurich, Zürich, Switzerland, 2Solid Mechanics Laboratory, École Polytechnique, Palaiseau, France

Prognostic value of deformation metrics extracted from cine MR images has been shown by numerous studies in the clinical setting, but with some limitations to detect local changes in the myocardium. Tagged CMR, however, allows tracking material points on the heart wall, revealing local myocardial deformation. Although it is superior to cine MRI in quantification of myocardial torsion, radial strain is often omitted. In this contribution, we enrich our registration technique with the capability to combine cine and tagged in-vivo CMR images, improving accuracy of regional strain assessment from tagged images while acquiring global deformation from cine CMR images.

0963
Feature tracking derived global early diastolic longitudinal strain rate in risk stratification of HFpEF:A preliminary prognostic study
Jian He1, Gang Yin1, Weichun Wu2, and Minjie Lu1

1Department of Magnetic Resonance Imaging, Fuwai Hospital & Cardiovascular Institute, Chinese Academy of Medical Sciences & Tsinghua University, Peking Union Medical College, National Center for Cardiovascular Diseases, beijing, China, 2Department of Ultrasound, Fuwai Hospital & Cardiovascular Institute, Chinese Academy of Medical Sciences & Tsinghua University, Peking Union Medical College, National Center for Cardiovascular Diseases, beijing, China

In this retrospective study, 167 HFpEF patients (median age 60 years, 40% women) were included. At a median follow-up of 110 (IQR 104–120) months, 71 patients experienced the primary composite outcome of all-cause death and HF hospitalization. Impaired global early diastolic longitudinal strain rate (eGLSR), defined as an eGLSR < median, 0.57/s, was present in 49.7% of patients and was predictive of the composite outcome (adjusted HR 2.57, 95% CI 1.58–4.45; p=0.001), and HF hospitalization alone (adjusted HR 2.48, 95% CI 1.31–4.70; p=0.005) after adjusting for clinical and conventional imaging variables.

0964
Comprehensive Cardiac MRI Demonstrates Altered Myocardial Tissue and Function in Pediatric Heart Transplant Recipients
Nazia Husain1, Michael Markl2, Kae Watanabe3, Cynthia Rigsby3, and Joshua D Robinson3

1Pediatric Cardiology, Ann & Robert H Lurie Children's Hospital of Chicago, Chicago, IL, United States, 2Northwestern University, Chicago, IL, United States, 3Ann & Robert H Lurie Children's Hospital of Chicago, Chicago, IL, United States

Current gold standard for surveillance of pediatric heart transplant (PHT) complications is invasive and imperfect. CMR allows non-invasive evaluation of myocardial structure and function.  A retrospective review of 26 PHT who underwent regadenoson stress perfusion CMR with tissue characterization and 18 age-matched controls was performed. Global T1 and ECV were higher in PHT; as were biventricular volumes and cardiac output. Myocardial perfusion reserve index was lower in PHT. Structure-function correlations between LVEF and strain versus T2 were noted.  T1, ECV were associated with clinical rejection scores. CMR comprehensively evaluates myocardial alterations in PHT.

0965
Evaluation of Isolated Left Ventricular Noncompaction Using Cardiac Magnetic Resonance Tissue Tracking in Strains
Jiamin Zhang1, Mengchun Jiang1, Mu Zeng1, and Xiaoyue Zhou2

1Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China, 2MR Collaboration, Siemens Healthineers Ltd, Shanghai, China

We used tissue tracking cardiac magnetic resonance (TT-CMR) to quantitatively analyze the global, regional, and layer-specific strain of isolated left ventricular noncompaction (ILVNC). Combined with late gadolinium enhancement (LGE), we initially explored the effect of focal myocardial fibrosis on myocardial strain

0966
Prognostic Value of Global Circumferential Strain in Patients with Severe Dilated Cardiomyopathy
Shenglei Shu1, Jing Wang1, and Xiaoyue Zhou2

1Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, 2MR Collaboration, Siemens Healthineers Ltd., Shanghai, China

The prognostic value of strain parameters from cardiac magnetic resonance (CMR) cine images has been rarely studied in patients with severe dilated cardiomyopathy (DCM). In this study, we retrospectively identified 129 patients with severe DCM who underwent CMR. Strain and conventional CMR parameters were acquired from baseline CMR. The prognostic value of CMR parameters and clinical data for predicting adverse events was analyzed using Cox regression analyses. Global circumferential strain (GCS) was independently associated with adverse events after adjusting for clinical and imaging risk factors. GCS from CMR feature-tracking could be useful for risk stratification in patients with severe DCM.   

0967
Inter-observer and intra-observer agreement on the MRI-based left-ventricular contractility using compress-sensing accelerated cardiac MRI
Chi Wai Michael Liu1, Gladys LO GOH1, Cindy Xue2, Raymond Lee1, Wai Kit Chung1, Ka Man Cura Chan1, Kwai Sin Frederick Kong1, Po Lung Polo Chan1, Wing Wa Li1, Chun Ta Yuen1, and Johnny Tang1

1Department of Diagnostic and Interventional Radiology, HKSH Eastern Medical Centre, Hong Kong, Hong Kong, 2HKSH Eastern Medical Centre, Hong Kong, Hong Kong

The reliability of the left-ventricular ejection function estimated from the compress-sensing accelerated cardiac MR scan was evaluated in the study. Excellent inter-observer and intra-observer agreement were observed based on the data from the compress-sensing cardiac MR scans, suggesting the usefulness of compress-sensing acceleration in improving the patient comfort and scan time reduction without degrading the reliability in the cardiac output assessment.

0968
Quantitative assessment of left and right atrial strains using cardiovascular magnetic resonance based tissue tracking
Yang-yang Qu1,2, Dominik Buckert1, and Volker Rasche1

1Internal Medicine II, Ulm University, Ulm, Germany, 2Department of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China

To better understand the mechanics of left and right atrium, radial and longitudinal strains of atrial free wall was quantified using cardiovascular magnetic resonance based tissue tracking (CMR-TT) technique. Gender- and age-specific reference values were generated among a healthy population (n=150). Larger magnitudes of strains were noticed in females and the younger. CMR-TT has been proven as a feasible and reproducible technique in this study, and the gender- and age-specific references need to be established for the clinical practice.

0969
Mapping electric bulk conductivity in the human heart
Ulrich Katscher1 and Steffen Weiss1

1Philips Research Europe, Hamburg, Germany

In addition to electro-physiological examinations, mapping the passive bulk conductivity would complete a comprehensive characterization of myocardial tissue. The technique to measure this conductivity with MRI, called “Electrical Properties Tomography” (EPT), has been developed some time ago, but not yet explored for the human heart. This study investigated and confirmed two basal goals of cardiac EPT: (a) that cardiac EPT is technically feasible, (b) that quantitative conductivity values of myocardium and blood, obtained from a small group of volunteers, are in line with expectations from literature.

0970
Myocardial Strain in Left Atrium in Smoking Population with Magnetic Resonance Imaging: A Pilot Study
Di Tian1, Shuangchun Ma1, Ziqi Xiong1, Xin Li1, Qingwei Song1, Ailian Liu1, and Zhiyong Li1

1The First Affiliated Hospital of Dalian Medical University, Dalian, China, Dalian, China

The purpose of this study is to explore the correlation between smokers' left atrium (LA) myocardial strain (MS), total ejection fraction (EFtotal) parameters and smoking parameters. This study demonstrated that LA global longitudinal strain (GLS) was significantly impaired and reduced with prolonged duration of smoking, smoking intensity and smoking burden.

0971
Cardiac mechanical performance of ALL survivors assessed by combined CMR and Incremental exercise test.
Delphine Perie-Curnier1, Egidie Uwase1, Maxime Caru1, Maxence Abasq1, and Daniel Curnier2

1Mechanical Engineering, Polytechnique Montreal, Montreal, QC, Canada, 2Kinesiology, Université de Montréal, Montreal, QC, Canada

Despite the late development of cardiac dysfunction in childhood acute lymphoblastic leukemia survivors, early detection of doxorubicin-related cardiotoxicity remains a challenge to better stratify these survivors who need a close follow-up. Cine-CMR acquisitions, combined to cardiopulmonary exercise testing and CircAdapt simulations showed that survivors’ exposition to doxorubicin, whatever the cumulative dose received, affected the cardiac efficiency and the ventricular-arterial coupling at rest and for light cardiac stress. Moreover, dexrazoxane treatments helped survivors to better adapt to high cardiac stress while presenting no differences at rest and for light cardiac stress.

0972
Application of cardiac magnetic resonance strain analysis in arrhythmogenic right ventricular cardiomyopathy
Xuan Li1, Jiang Wu1, Chaohui Yang1, Lina Zhu1, Heng Niu1, Xiaoyong Hao1, and Kaiyu Wang2

1Shanxi Cardiovascular Hospital, Taiyuan, China, 2GE Healthcare, MR Research, Beijing, China

CMR-FT can quantitatively evaluate myocardial motion. In this study, we find that the right ventricular global longitudinal, radial and circumferential strain in ARVC patients are significantly lower than those in normal controls. In ARVC patients with LVEF < 55%, the left ventricular global longitudinal, radial and circumferential strain decrease significantly. The left ventricular global longitudinal strain also decrease in ARVC patients with LVEF ≥ 55%. These results suggested that myocardial strain can be used to evaluate biventricular myocardial motion in ARVC patients.

0973
A preliminary study on myocardial strain evaluation of ventricular septal bulge and hypertrophic cardiomyopathy in the elderly
Jingwen Dai1, Min Zhang1, Jing An2, and Min Chen1

1Beijing Hospital, National Center of Gerontology, Beijing, China, 2Siemens Shenzhen Magnetic Resonance Ltd, Shenzhen, China

To investigate the differences in basal septal hypertrophy in elderly people between ventricular septal bulge(VSB) and hypertrophic cardiomyopathy(HCM) based on myocardial strain analysis, A total of 13 VSB subjects, 9 HCM patients, and 8 healthy controls underwent cardiac MR scan. The strain parameters shows significant differences between VSB and HCM, and no significant differences between VSB and healthy controls. These findings may suggest a different underlying pathological change and provide a potential diagnostic clue in distinguishing VSB and HCM in elderly people.

0974
The value of CMR Feature Tracking in the differential diagnosis of isolated left ventricular noncompaction and dilated cardiomyopathy
Lina Zhu1, Jiang Wu1, Xiaoyong Hao1, Xuan Li1, Zhaohui Yang1, Heng Niu1, and Kaiyu Wang2

1Shanxi Cardiovascular Hospital, Taiyuan, China, 2GE Healthcare, MR Research, Beijing, China

    In this study, myocardial strain parameters was used to distinguish Isolated left ventricular noncompaction (ILVNC) and dilated cardiomyopathy (DCM). The results showed that the apex longitudinal strain (LS) had great potential in the differential diagnosis of ILVNC and DCM, and different change patterns are presented in the LS of the myocardium from the basal segment to the apex.

0975
Single-shot Compressed Sensing Versus Segmented Cine Cardiac Magnetic Resonance to Assess Left Ventricular Volume and Strain
yang chen1, Wen Qian1, Xiao yue Zhou2, Yi Xu1, and Xiao mei Zhu1

1the First Affiliated Hospital of Nanjing Medical University, Nanjing, China, 2Siemens Healthineers Ltd, Shanghai, China

Although segmented cine cardiac magnetic resonance (CMR) is the standard choice for assessing left ventricular (LV) volume, single-shot compressed sensing (CS) cine CMR can provide similar information with shorter examination times. A total of 37 healthy patients underwent both single-shot CS and standard segmented cine imaging. The single-shot CS global strain and standard deviation of the time to peak strain were poorly to moderately correlated with those of the standard segmented cine. Inter- and intraobserver variability for LV strain were mostly good to excellent for both groups.

0976
Impaired CMR-derived Pulmonary Artery Global Longitudinal Strain is Related to Decompensated Hemodynamics in Pulmonary Arterial Hypertension
Shuang Leng1, Ru-San Tan1,2, Ping Chai3,4, Wen Ruan1, Ting Ting Low3,4, Lynette Teo4,5, Tee Joo Yeo3,4, Xiaodan Zhao1, John C. Allen2, Jonathan Yap1, Soo Teik Lim1,2, James W. Yip3,4, Ju Le Tan1,2, and Liang Zhong1,2

1National Heart Centre Singapore, Singapore, Singapore, 2Duke-NUS Medical School, Singapore, Singapore, 3National University Heart Centre, Singapore, Singapore, 4Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore, 5National University Hospital, Singapore, Singapore

Pulmonary artery (PA) stiffness in pulmonary arterial hypertension (PAH) is strongly associated with clinical progression of the disease. This study aimed to introduce a novel parameter—PA global longitudinal strain (GLS)—for PA stiffness assessment using a semi-automated feature-tracking approach with standard cine cardiovascular magnetic resonance (CMR). Reduced PA GLS was significantly associated with increased pulmonary artery pressure and pulmonary vascular resistance in PAH. In addition, PA GLS was significantly impaired in PAH patients with hemodynamically decompensated right ventricular (RV) function compared to those with compensated RV function. 

0977
Left ventricular ejection fraction and global circumferential strain demonstrate non-linear relationship
Jadranka Stojanovska1 and El-Sayed H Ibrahim2

1University of Michigan, Ann Arbor, MI, United States, 2Medical College of Wisconsin, Milwaukee, WI, United States

Left ventricular (LV) dysfunction as identified by depressed systolic function is an independent predictors of mortality and hospitalization with ischemic cardiomyopathy. LV systolic function as defined by the ejection fraction (EF) is quantified using cardiac imaging. We hypothesize that subset of patients with ischemic cardiomyopathy and normal LV EF of 55% demonstrate impairment in cardiac contractility by strain imaging. The results showed that the nonlinear relationship between LVEF and myocardium global circumferential-strain is indicative that EF is not sensitive to regional cardiac dysfunction or LV remodeling. Cardiac strain should become the cornerstone of the evaluation of patients with ischemic cardiomyopathy.

0978
Assessment of cardiac aging in naked mole-rats and mice using ultrasound and MRI
Emine Can1, Megan Smith1, Rochelle Buffenstein1, and Johannes Riegler1

1Calico Life Sciences LLC, South San Francisco, CA, United States

Naked mole-rats are extremely long-lived (>38 years) small (35-60g) rodents that show no increased risk of dying as they get older, implying that organ function is well-maintained throughout life. Using cardiac MRI, ultrasound and large cohorts of both mice and mole-rats we undertook a comprehensive comparative analysis of age-related changes in cardiovascular function over their lifespans. Unlike mice that show declines in most measurements of cardiac function and increased left ventricle wall thickness with age, we found naked mole-rats maintain cardiac function and functional cardiac reserve capacity well into their fourth decade of life. 


Imaging of Heart Failure: Tissue Characterization

Imaging of Heart Failure
 Cardiovascular

0979
Myocardial contractility distinguishes the effect of radiation therapy on different rat models
El-Sayed H Ibrahim1, Luba Frank1, Sherry-Ann Brown1, Jason Rubenstein1, Rachel Schlaak1, Elizabeth Gore1, and Carmen Bergom1

1Medical College of Wisconsin, Milwaukee, WI, United States

Radiation therapy (RT) is used by more than 50% of all cancer patients, where the risk of RT-induced cardiotoxicity reaches 33%. In this study, we investigate the role of cardiac contractility by MRI to differentiate the response of two different rat models to RT. The results showed the value of myocardial strain for early detection of RT-induced cardiotoxicity and exploring the effect of genetic profile and duration post-RT on cardiotoxicity. In conclusion, MRI strain imaging allows for determining spatial distribution and temporal progression of myocardial contractility post-RT, which would allow for determining the effect of genetic profile on cardiotoxicity development.

0980
Combined simultaneous multi-slice (SMS) bSSFP & compressed sensing (CS) for accelerated late gadolinium enhancement (LGE) imaging in the heart
Ronald Mooiweer1, Sarah McElroy2, Giulio Ferrazzi3, Muhummad Sohaib Nazir2, Carl Evans2, Filippo Bosio2, Nabila Mughal2, Karl P Kunze4, Radhouene Neji4, Peter Speier5, Daniel Stäb6, Pier Giorgio Masci2, Reza Razavi2, Amedeo Chiribiri2, and Sébastien Roujol2

1King's College London, London, United Kingdom, 2School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 3IRCCS San Camillo Hospital, Venice, Italy, 4MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom, 5Siemens Healthcare GmbH, Erlangen, Germany, 6MR Research Collaborations, Siemens Healthcare Limited, Melbourne, Australia

SMS-bSSFP combined with compressed sensing was successfully used to acquire LGE images through the use of multiple single-shot dynamic acquisitions in one breath-hold. Instead of 1 slice per breath-hold, 3 slices could be acquired per breathhold.

0981
Cardiovascular magnetic resonance T1ρ endogenous contrast can detect early myocardial fibrosis in hypertrophic cardiomyopathy
Keyan Wang1, Jingliang Cheng2, Yang Yang3, and Jie Zheng4

1MRI, 1st Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 21st Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 3Icahn School of Medicine at Mount Sinai, New York, NY, United States, 4Mallinckrodt Institute of Radiology, Washington University in St, Washington, WA, United States

The study is to determine clinical utility of T1ρ to detect myocardial fibrosis in patients with hypertrophic cardiomyopathy (HCM) at different subtypes. The results showed that absolute T1ρ (ms) increased progressively and significantly from volunteer to HCM-N and then to HCM-H. ECV has the same trend as T1ρ. There was a strong positive correlation between ECV and T1ρ. If selecting T1ρ relaxation times of 36.5ms as the cutoff value for normal myocardial fibrosis, the sensitivity, specificity and AUC to detect myocardial fibrosis were 83.7%, 91.3%, and 0.937, respectively.T1ρ is able to detect early diffuse fibrosis in HCM and two subtypes.

0982
Diffusion Tensor Imaging Reveals Myocardial Structure after Stem Cell-derived Cardiomyocyte Therapy in Myocardial Infarction
Moses P. Cook1, Wahiba Dhahri2, Graham A. Wright1,3,4, Michael A. Laflamme2, and Nilesh R. Ghugre1,3,4

1Medical Biophysics, University of Toronto, Toronto, ON, Canada, 2McEwen Centre for Regenerative Medicine, University Health Network, Toronto, ON, Canada, 3Schulich Heart Program, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 4Physical Sciences Platform, Sunnybrook Research Institute, Toronto, ON, Canada

Cardiac regenerative therapies using pluripotent stem cell-derived cardiomyocytes (PSC-CM, the graft) have shown promise in animal models of myocardial infarction. However, the mechanisms of structural integration of graft with host myocardium and the associated impact on function are less understood. 3D Diffusion Tensor Imaging (DTI) and contrast enhanced MRI were performed at 7T in ex vivo guinea pig hearts to quantify cardiac microstructure post PSC-CM transplantation. DTI parameters within the graft trended towards the healthy non-infarcted state, demonstrating a degree of anisotropic tissue repopulation within the infarct zone. MRI is a valuable marker for treatment efficacy in emerging regenerative therapies.

0983
Simultaneous dark blood late gadolinium enhancement and MR angiography for atrial scar detection
Dongyue Si1, Yanfang Wu2, Jie Yin2, Rui Guo3, Jingjing Xiao4, Bowei Liu1, Xue Lin2, Peng Gao2, Deyan Yang2, Quan Fang2, Jianwen Luo1, Daniel A. Herzka5, and Haiyan Ding1

1Center for Biomedical Imaging Research (CBIR), Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China, 2Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China, 3Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, United States, 4Department of Medical Engineering, Xinqiao Hosptial, Army Medical University, Chongqing, China, 5National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States

Cardiovascular magnetic resonance can provide functional and structural assessment of the left atrium and pulmonary veins, providing highly relevant pre- and post-procedural information in the treatment of atrial fibrillation (AF). In this study, an independent navigator-gated simultaneous dark blood late gadolinium enhancement and MR angiography sequence was developed for atrial scar detection. In 4 post AF ablation subjects, comparison with conventional phase sensitive inversion recovery images indicated that both scar-to-blood and blood-to-myocardium contrast were improved. Excellent correlation was observed between the scar measured by the proposed sequence and the low voltage areas observed with electroanatomical mapping.

0984
Towards Clinical Application of the  T2* quantification in the 7T Cardiac MRI: Reproducibility Study in  Healthy Volunteers.
Maxim Terekhov1, Theresa Reiter2, Michael Hock1, David Lohr1, Wolfgang Bauer1,2, and Laura M. Schreiber1

1Chair of Molecular and Cellular Imaging, University Hospital Würzburg, Comprehensive Heart Failure Center, Wuerzburg, Germany, 2Department of Internal Medicine I, Cardiology, University Hospital Würzburg, Wuerzburg, Germany

7T cardiac MRI is an emerging technique with the potential to increase the spatial resolution and functional informativity of the cardiac images. T2*-quantification becomes a more sensitive MRI method at 7T compared to the lower B0-fields and may provide valuable information on cardiac tissue remodeling. However, in practice, the value of T2* at 7T as a marker of tissue alterations can be diminished by the suboptimal B0-shimming  and problems of acquisition and analysis.  We present the results of the reproducibility and quality assurance study with 10 healthy volunteers for the optimization of T2*-measurement protocol for a future clinical application.      

0985
Association Between Ventricular Arrhythmias and Late Gadolinium Enhancement in Patients with Apparently Normal Hearts
wen qian1, kai gu2, xiaoyue zhou3, yi xu1, and xiaomei zhu4

1The First Affiliated Hospital of Nanjing Medical University, Nanjing, China, 2Cardiovascular Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China, 3MR Collaboration, Siemens Healthineers Ltd., Shanghai, China, 4radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China

Cardiac magnetic resonance (CMR) is the gold standard for evaluating myocardial fibrosis. This study investigated the association between the occurrence and morphological features of ventricular arrhythmias (VAs) and left ventricular late gadolinium enhancement (LV-LGE) in patients without structural heart diseases. Seventy-eight patients with apparently normal hearts were enrolled and underwent simultaneous electrocardiogram and CMR examinations. Polymorphic VAs and ST-segment depression indicated a higher probability of having LV-LGE on CMR. The findings can help clinicians screen patients for CMR.

0986
Parametric mapping to assess cardiotoxicity in breast cancer patients receiving concurrent anthracyclines and trastuzumab
Divya Susanna Ninan1 and Binita Riya Chacko2

1Radiology, Christian Medical College Vellore, Vellore, India, 2Radiology, Christian Medical College, Vellore, Vellore, India

Novel cardiac MRI mapping techniques such as T1, T2 and ECV parametric mapping have been proven to detect early cardiotoxicity among patients taking chemotherapeutic drugs.  We aimed to determine whether these parameters could predict the development of early onset cardiac dysfunction in HER 2 positive breast cancer patients who were on anthracyclines and trastuzumab. We demonstrated statistically and clinically significant drop in left ventricular ejection fraction (LVEF) and right ventricular ejection fraction (RVEF) at four months post chemotherapy. The change in the mapping values were not statistically significant, however there was a trend towards an increase in the ECV.      

0987
High resolution whole-heart coverage multiband first-pass myocardial perfusion MRI using the slice-L+S reconstruction method
Changyu Sun1, Kenneth C. Bilchick2, Daniel Weller3, Michael Salerno1,2,4, and Frederick H. Epstein1,4

1Biomedical Engineering, University of Virginia, Charlottesville, VA, United States, 2Medicine, University of Virginia, Charlottesville, VA, United States, 3Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, United States, 4Radiology, University of Virginia, Charlottesville, VA, United States

 k-t undersampled multiband first-pass perfusion imaging provides in-plane and through-plane acceleration and potentially enables high spatial resolution and whole-heart coverage. Our slice-L+S work splits MB data consistency and enforcing L+S into two subproblems wherein MB data, in- and through-plane coil information and L+S properties of slices are systematically utilized. Here we compare slice-L+S to single-band L+S and slice-GRAPPA followed sequentially by L+S (seq-SG-L+S) using 3 retrospectively undersampled datasets. High resolution nine-slice data with multiband factor-3 and rate-3 undersampling were prospectively acquired in 4 patients. Slice-L+S showed better image quality demonstrated by quantitative results and scores from two cardiologists. 

0988
Are myocardial MOLLI T1 differences between athletic and non-athletic subjects real or dependent on center differences or MOLLI scheme?
Tom Dresselaers1,2, Ruben De Bosscher3, Sofie Tilborghs4,5, Alexandru Cernicanu6, Christophe Dausin7, Oliver Ghekiere8, Rik Willems3, Guido Claessen3, and Jan Bogaert1,2

1Radiology, UZ Leuven, Leuven, Belgium, 2Imaging and Pathology, KU Leuven, Leuven, Belgium, 3Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium, 4Department of Electrical Engineering (ESAT), KU Leuven, Leuven, Belgium, 5Medical Imaging Research Center, Medical Physics and Quality Assessment, KU Leuven, Leuven, Belgium, 6Philips Benelux, Eindhoven, Netherlands, 7Exercise Physiology Research Group, KU Leuven, Leuven, Belgium, 8Jessa Hospital, Hasselt, Belgium

We analysed differences in myocardial T1 between non-athletic subjects and athletes (which started endurance training early or late in life) to determine inter-center consistency. In addition, we implemented and extended MOLLI scheme (5s5s1s) to improve precision at very low heart rate typical in athlete's and compared with results from a standard 5s3s MOLLI.  Absolute levels were dependent on MOLLI scheme and site, but group differences were very similar as evident from full myocardium T1 histograms.

 


0989
Myocardial fibrosis in preserved ejection fraction hypertrophic cardiomyopathy: predictive values of non-invasive markers
Yumin Li1, Xiaoyue Zhou2, Jia Liu1, Yukun Cao1, Xiaoyu Han1, Guozhu Shao1, Jin Gu1, Tong Liu1, Na Li1, Yue Cui1, and Heshui Shi1

1Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, 2MR Collaboration, Siemens Healthineers Ltd, ShangHai, China

This study aimed to determine the predictive value of non-invasive markers in patients with hypertrophic cardiomyopathy with preserved ejection fraction. The results demonstrated that an elevated level of N-terminal pro b-type natriuretic peptide (Nt-proBNP) was an independent predictor for the presence of late gadolinium enhancement (LGE), and combined with maximum wall thickness (MWT), had good diagnostic performance for the detection of LGE. Furthermore, decreased left ventricular global circumferential strain (GCS) was independently correlated with the LGE%, indicating its potential prognostic value for detecting myocardial fibrosis. 

0990
Relaxivity Contrast Imaging (RCI) of Myocardial Microstructure in Secondary Cardiomyopathy
Sudarshan Ragunathan1, Ryan K Robison2, Erik G Ellsworth3, and C Chad Quarles1

1Barrow Neurological Institute, Phoenix, AZ, United States, 2Philips, Nashville, TN, United States, 3Phoenix Children's Hospital, Phoenix, AZ, United States

Clinical cardiac MRI protocols can be insensitive to secondary cardiomyopathy induced myocardium thickening and altered cardiac function. In this work, we demonstrate the feasibility of acquiring cardiac relaxivity contrast imaging (RCI) data, and specifically the RCI-parameter termed transverse relaxivity at tracer equilibrium (TRATE). TRATE has previously been shown to detect changes in cellular microstructure. RCI acquisition comprises of 1) pre-/post-contrast T1 maps using a MOLLI protocol, and 2) pre-/post-contrast T2* maps using a multi-gradient echo protocol. Robust changes in post contrast R2*, and the subsequent TRATE values, support the potential role of using RCI to study myocardial microstructure changes.

0991
Cardiovascular MRI–derived myocardial strain vs. extracellular volume fractions in asymptomatic heart transplant patients
Xuehua Shen1, Yating Yuan2, Xiaoyue Zhou3, Kelvin Chow4, Jens Wetzl5, and Bo Liang2

1Department of Radiology, the Affiliated Hospital of Guizhou Medical University, Guiyang, China, China, 2Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, Wuhan , China, China, 3MR Collaboration, Siemens Healthineers Ltd., Shanghai, China, Shanghai, China, China, 4MR R&D, Siemens Medical Solutions Inc., Chicago, USA, Chicago, USA, IL, United States, 5Siemens Healthcare GmbH, Erlangen, Germany, Erlangen, Germany, Germany

Cardiac magnetic resonance imaging has excellent tissue resolution and can quantitatively evaluate myocardial deformations and tissue characteristics. In this study, heart transplant (HT) patients had changed myocardial strain (LCGLS, LVGCS, and LVGRS) and tissue parameters (T1, T2, and ECV). There were also moderate correlations between these two different measurements. We suggest that myocardial movement is related to myocardial edema and fibrosis, and myocardial strain measurements could be an alternative to ECV with gadolinium injections.   

0992
Free-Breathing High-Resolution Quantitative First-Pass Perfusion Cardiac MR using Dual-Echo Dixon
Cian Scannell1, Torben Schneider2, Ebraham Alskaf1, Filippo Bosio1, Joao Tourais3, Javier Sanchez-Gonzalez4, Mariya Doneva5, Christophe Schuelke5, Jakob Meineke5, Jochen Keupp5, Jouke Smink6, Marcel Breeuwer7, Amedeo Chiribiri1, Markus Henningsson8,9, and Teresa M Correia1

1School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2Philips Healthcare, Guildford, United Kingdom, 3Magnetic Resonance Systems Lab, Delft University of Technology, Delft, Netherlands, 4Philips Healthcare Iberia, Madrid, Spain, 5Philips Research, Hamburg, Germany, 6MR Clinical Science, Philips Healthcare, Best, Netherlands, 7Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands, 8Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden, 9Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden

First-pass perfusion cardiac MR (FP-CMR) is an essential tool for characterizing ischemic heart disease. Moreover, automated quantitative methods enable a reliable and operator-independent assessment of myocardial blood flow. Conventional FP-CMR has limited spatial resolution and is performed under breath-hold. Therefore, diagnostic accuracy is compromised by respiratory induced motion artifacts and false-positives due to dark-rim artifacts. To overcome these challenges, free-breathing Fat-water separation for mOtion-corrected Spatio-TEmporally accelerated myocardial peRfuSion (FOSTERS) has been proposed. Here, we implement and evaluate a high-resolution dual-echo Dixon version of FOSTERS and compare its quantitative performance to standard-resolution FP-CMR in patients with suspected cardiovascular disease.

0993
2D High Resolution Myocardial TRAFF2 Mapping: Reproducibility and Accuracy
Joao Tourais1, Ingo Hermann1,2, Rick Voncken3, Ömer Burak Demirel4, Sebastian Weingärtner1, and Mehmet Akcakaya4

1Magnetic Resonance Systems Lab, Department of Imaging Physics, TU Delft, Delft, Netherlands, 2Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 3Scannexus BV, Maastricht, Netherlands, 4Department for Electrical and Computer Engineering, and Center for Magnetic Resonance Research, University of Minnesota, Minnesota, MN, United States

Relaxation Along a Fictitious Field (RAFF) times in the 2nd rotating frame (TRAFF2) have shown promise for the depiction of acute myocardial infarct in a mouse model. In this work, in vivo myocardial TRAFF2 maps are acquired in a single breath-hold at 3T. An additional image was acquired following saturation preparation to enable reconstruction with a three-parameter fit model. Visually high-quality map quality, homogeneous signal, artifact resilience and low inter-scan variability were achieved with TRAFF2 in vivo. This makes TRAFF2 an excellent candidate for myocardial tissue characterization in clinical use.

0994
Cardiac 1H MRS detected reduced myocardial triglycerides after Doxorubicin injection: an in vivo animal study
Xiaoying Cai1,2, Selcuk Kucukseymen2, Maria-Alexandra Olaru3, Patrick Pierce2, Beth Goddu2, Jennifer Rodriguez2, and Reza Nezafat2

1Siemens Medical Solutions USA, Inc., Boston, MA, United States, 2Department of Medicine, Cardiovascular Division, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, United States, 3Siemens Healthcare Limited GB&I, Frimley, United Kingdom

Cardiotoxicity remains a side effect of chemotherapy agents. Non-invasive imaging including cardiac MR has been applied to assess cardiac injury in patients receiving chemotherapy. Alterations in cardiac energetics have been reported in previous studies but have not been widely investigated in vivo. In this study, single voxel 1H spectroscopy was applied to detect lipid metabolism changes in a large animal model. The results showed reduced myocardial triglycerides content in the doxorubicin-treated group in comparison with the control group.

0995
Myocardial T1 mapping and feature tracking in patients with OSA: potential novel insights into adaptive left ventricular remodeling phase
Xiaobin Zhou1, Xiaoyu Wei1, Yingjie Mei2, Qiong Ou3, Zhecheng Du4, and Hui Liu1

1Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China, 2Philips Healthcare, Guangzhou, China, 3Sleep Center, Department of Pulmonary and Critical Care Medicine, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangdong Provincial Geriatrics Institute, Guangzhou, China, 4Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China

The comprehensive assessment of left ventricular (LV) remodeling by cardiac magnetic resonance (CMR) imaging with T1 mapping and feature tracking (FT) technology in obstructive sleep apnea (OSA) was conducted in this study. Indexed extracellular volume (iECV) and indexed cellular volume (iCV) of myocardial tissue construction were derived from T1 mapping. The results show that elevated LV mass index (LVMi) in OSA was mainly from iCV, while not from iECV, with no LV ejection function (LVEF) or strain parameters impairment. Cellular hypertrophy accompanied with normal LV systolic function in patients with OSA may contribute to adaptive LV remodeling phase.

0996
Assessment of Cardiovascular Characterization in Rat Model of non-Targeted Heart Radiation Using MRI
El-Sayed H Ibrahim1, Marek Lenarczyk1, and John Baker1

1Medical College of Wisconsin, Milwaukee, WI, United States

The effect of exposure outside of the geometric radiation field on non-targeted organs as it results in cardiac disease is uncertain. Characterization of myocardial tissue abnormalities and cardiac dysfunction with cardiac MRI represents a valuable tool to define the presence and stage of a disorder at given timepoint. In this study, cardiac MRI was performed in an established rat model of irradiation injury to the non-targeted heart at different timepoints post irradiation. The results showed the value of myocardial strain and T1 measurements as sensitive markers of cardiovascular changes due to non-direct irradiation effect on the heart.

0997
Extracellular Volume Fraction Mapping May Distinguish Acute Pediatric Heart Transplant Rejection from Non-Rejection
Bruce Damon1, Margaret M. Samyn2, Ke Yan2, Aryaz Sheybani3, Wubishet Belay3, Justin Godown3, Lazaro Hernandez4, Kristen George-Durrett3, and Jonathan Soslow3

1Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 2Pediatrics, Medical College of Wisconsin, Milwaukee, WI, United States, 3Pediatric Cardiology, Vanderbilt University Medical Center, Nashville, TN, United States, 4Pediatric Cardiology, Joe DiMaggio Children’s Hospital, Hollywood, FL, United States

Acute rejection (AR) remains a significant cause of morbidity and mortality in pediatric patients after heart transplant. Endomyocardial biopsy (EMB) of the right ventricular septum is the  standard method for diagnosing AR.  However, EMB is prone to additional risk and sampling error as AR is a heterogeneous process.  Here we show that extracellular volume fraction (ECV) mapping of the left ventricle (LV) analyzed with standard descriptive statistics and specialized texture analysis may differentiate pediatric heart transplant recipients as having AR or not. This CMR diagnostic approach offers diagnostic advantages including  greater sampling volume and minimal invasiveness.

0998
Relation of native T1 & ECV values to gadolinium enhancement & myocardial perfusion in hypertrophic cardiomyopathy in 3T MRI
Anoop Ayyappan1, Harshith Kramadhari1, Ajit Kumar1, and Kapilamoorthy T.R.1

1Department of IS & IR, Sree Chitra Tirunal Institute of Medical Sciences & Technology, Kerala, India

Hypertrophic cardiomyopathy (HCM) is a disorder of myocardium having a genetic basis, and  high disease related mortality. Identification of areas of occult fibrosis along with overt fibrosis using T1 mapping will be useful in long term prognosis of patients along with other imaging parameters in MRI.  This study was aimed at (a) determining the differences in native T1 values of controls and HCM patients, (b) to determine the relationship between early gadolinium enhancement (EGE)/Late gadolinium enhancement (LGE)/ perfusion abnormalities and native T1 and ECV values in patients of hypertrophic cardiomyopathy.


MRA Outside the Head: It's a No-Brainer!

MR Angiography & Vessel Wall
 Cardiovascular

1611
Feasibility of Free-Breathing Non-contrast Magnetic Resonance Pulmonary Angiography
Jia Liu1, Kai Zhao1, Wei Li1, Zhongxu Bi1, Jinxia Zhu2, Xiaoye Wang3, and Jianxing Qiu1

1Peking University First Hospital, Beijing, China, 2MR Collaboration, Siemens Healthcare Ltd, Beijing, China, 3MR APP, Siemens Healthcare Ltd, Beijing, China

We investigated the feasibility and clinical value of free-breathing non-contrast MR pulmonary angiography (MRPA). The subjective diagnostic image quality values, evaluated by two radiologists, showed excellent consistency. Non-contrast MRPA can provide acceptable image quality that can be applied broadly in clinical medicine. 

1612
MRI for evaluating compliance of aortic graft in a rat model and comparison to native aorta
El-Sayed H Ibrahim1, Xiaolong Wang1, and Bo Wang1

1Medical College of Wisconsin, Milwaukee, WI, United States

Vascular tissue-engineering provides an alternative solution to replace autologous vessels via developing an artificial vascular graft. To examine the in-vivo fate and understand the clinical potential of the artificial vascular graft, the graft was implanted into the abdominal aorta of Sprague-Dawley rats by end-to-end anastomosis. The goal of this study was to evaluate compliance and vessel wall stiffness in the artic graft and compare results to native aorta using MRI. The results demonstrated that the developed graft has biomechanical characteristics similar to those in native aorta, which may represent a potential avenue to construct a flexible vascular graft in patients.

1613
Turbulences in a one bifurcation 4mm diameter phantom after inflating a balloon catheter: a 4D flow/cine phase invitro study at systemic pressure.
Cyril Tous, PhD1, Ivan Dimov1, Ning Li, PhD1, Simon Lessard, PhD1, An Tang, MD, MSc1,2, Samuel Kadoury, PhD1,3, and Gilles Soulez, MD,MSc1,2

1Radiology, Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, QC, Canada, 2Radiology, Université de Montréal, Montréal, QC, Canada, 3Polytechnique Montréal, Montréal, QC, Canada

Turbulent flow undermines steering of magnetic microrobots across bifurcations using the MRI gradients. A partial inflated balloon can reproduce a blood flow controlling method in vivo, to increase the targeted success rate of embolization by microrobots. At 3T MRI, 4D flow reveals that vortices in front of the catheter were generated. These series of vortices are also confirmed through by ink injection and under videos capture. At 4 mm diameter, 4D flow and cine phase are reproducible for average velocity and net flow at 0.8mm2 in plane resolution. These in vitro results can be used to refine 4D flow models.

1614
Differentiating cardiac function and hemodynamics in treated and untreated models of aortic coarctation
El-Sayed H Ibrahim1, Jamasp Azarnoosh2, Arash Hassankiadeh1, Pierre Croisille3, Jadranka Stojanovska4, and John LaDisa2

1Medical College of Wisconsin, Milwaukee, WI, United States, 2Marquette University, Milwaukee, WI, United States, 3Jean-Monnet University, Lyon, France, 4University of Michigan, Ann Arbor, MI, United States

Aortic coarctation (CoA) is a congenital vascular disease characterized by severe narrowing of the proximal descending thoracic aorta, which affects 5,000-8,000 births annually in USA. Patients with CoA can have altered hemodynamics and remodeled left ventricle from increased afterload. In this study, we investigate the impact of CoA on cardiovascular parameters using rabbit models of treated and untreated CoA. The results showed that cardiovascular parameters can normalize in treated CoA compared to untreated cases and that myocardial strain and aortic blood velocity are sensitive parameters for differentiating between treated and untreated CoA as well as the severity of coarctation.

1615
Optimization of Ultrashort TE protocol QUTE-CE with ferumoxytol for abdominal MRA
Tianyi Zhou1, Liam Timms1, Valur Olafsson2, Fred Bidmead2, Vishala Mishra3, Ravi T Seethamraju4, Mukesh Harisinghani3, and Srinivas Sridhar1

1Department of Physics, Northeastern University, Boston, MA, United States, 2Northeastern University Biomedical Imaging Center, Boston, MA, United States, 3Department of Radiology, Massachusetts General Hospital, Boston, MA, United States, 4Siemens Medical Solutions, Boston, MA, United States

A contrast-enhanced MRA protocol with Ultrashort Time-to-Echo (UTE) was optimized on phantoms covering a range of ferumoxytol concentrations for abdominal imaging. This approach produces images with high SNR (~ 4166) at clinical concentrations. The protocol was applied in vivo to human subjects for abdominal vascular imaging. Acquired human images demonstrated great delineation of central and peripheral vessels in the liver, kidneys and other abdominal organs. The combination of an optimized UTE sequence and the blood-pool kinetics of ferumoxytol enables high-resolution vascular imaging across the entire abdomen with maximized image quality. This technique could potentially aid in characterization of vascular diseases.

1616
Accelerated 3D whole-heart angiography using Compressed SENSE in patients with Congenital Heart Disease
Mubeena Abdulkarim1, Munes Fares1, Mohammed Hussain1,2, Gerald Greil1, Tarique Hussain1, and Joshua Greer1

1Pediatric Cardiology, University of Texas Southwestern, Dallas, TX, United States, 2Kafrelsheikh univeristy, Kafr El Sheikh, Egypt

3D whole-heart bSSFP (3DWH) is the clinical standard in the evaluation of anatomy in congenital heart disease (CHD), but can be time consuming to acquire. A compressed sense (CS-SENSE) algorithm to accelerate standard SENSE technique recently became commercially available, and was shown to accelerate clinical protocols in adults.  3DWH accelerated by CS-SENSE factor of 3.5 provided visualization of all structures with no degradation in CNR or image quality while reducing scan time by approximately 25% in pediatric congenital heart disease.

1617
3D time of flight MRA using radial-based gradient echo pulse sequence with modified DIXON of the aortic arch bifurcation
Takashi Namiki1, Masami Yoneyama1, Hiroshi Hamano1, Tomohiro Mochizuki1, Yuki Ito1, Mai Nishihara1, and Yasutomo Katsumata2

1Philips Japan, Tokyo, Japan, 2Philips Healthcare, Best, Netherlands

Inflow magnetic resonance angiography (MRA) plays an important role in catheter insertion for intracranial endovascular treatment in the visualization of blood vessels at the aortic arch bifurcation. However, it is often difficult to accurately determine vascular stenosis due to respiratory artifacts and surrounding fat. In this study, we employ 3-dimensional time of flight  MRA using radial-based gradient echo pulse sequence with modified DIXON (TOF-RADIXON) compared it with 3-dimensional time of flight MRA (TOF-MRA). The experimental results using TOF-RADIXON showed that ability to visualize blood vessels is more promising than TOF-MRA.

1618
Contrast enhancement DISCO magnetic resonance angiography in preoperative assessment of anterolateral thigh flap
yunfeng shen1 and Weiqiang Dou2

1shandong university, Jinan, China, 2GE Healthcare, Beijing, China

Anterolateral thigh (ALT) flap has been widely used in reconstructive surgery for head and neck region and the extremities. However, the difficulties during the dissection of this flap were often associated with various vascular anatomies and frequent intramuscular course of perforators [1]. In this study, using a novel differential subsampling with cartesian ordering (DISCO) contrast enhancement magnetic resonance angiography, the patterns of lateral circumflex femoral artery and its branches were clearly identified, and were consistent with operative findings. Therefore, DISCO imaging can be an accurate and compatible method for perforators imaging preoperatively prior to ALT flaps.

1619
Non-contrast-enhanced MR venography of lower extremity using balanced-TFE mDIXON with robust water-fat swap correction
Jihun Kwon1, Masami Yoneyama1, Yasuhiro Goto2, Yutaka Hamatani2, Isao Shiina2, Kazuo Kodaira2, Takumi Ogawa2, Michinobu Nagao3, Kayoko Abe3, Takashi Namiki1, and Marc Van Cauteren4

1Philips Japan, Tokyo, Japan, 2Department of Radiological Services, Tokyo Women’s Medical University, Tokyo, Japan, 3Department of Diagnostic Imaging and Nuclear Medicine, Tokyo Women’s Medical University, Tokyo, Japan, 4Philips Healthcare, Best, Netherlands

Magnetic resonance venography (MRV) is often used to assess venous anatomy and pathology. In this study, we developed a 2D dual-echo balanced-turbo field-echo (TFE) mDIXON (bTFE DIXON) sequence to rapidly acquire high SNR MRV of lower extremities, without using cardiac gating and respiratory compensation. We also proposed a new post-processing technique, histogram similarity-based swap correction (HISSCO), to detect and correct water-fat slice swap artifact associated with the mDIXON technique. Our results showed that combined with HISSCO, the bTFE DIXON sequence can potentially be a clinically useful sequence for assessing the venous pathology of the lower extremities.

1620
Peripheral Fresh Blood Imaging with High Spatial Resolution Using Compressed Sensing
Hao Li1, Martin John Graves1,2, Nadeem Shaida2, Akash Prashar2, David John Lomas1,2, and Andrew Nicholas Priest1,2

1Department of Radiology, University of Cambridge, Cambridge, United Kingdom, 2Department of Radiology, Addenbrooke’s Hospital, Cambridge, United Kingdom

A time-efficient high-resolution 3D fresh-blood imaging technique is proposed. The acquisition matrix size was increased from 256 to 512 in both readout and in-plane phase-encoding dimensions. Imaging efficiency was improved using compressed sensing together with k-space subtraction, so that the acquisition time is not prolonged compared to standard-resolution protocols. To avoid flow-related arterial signal voids, velocity-compensation gradients were used instead of velocity-spoiling gradients, and the spoiler gradients in the slice-encoding direction were increased. By decreasing the pixel size, the overall vessel sharpness and depiction of small vessels were significantly improved, at the cost of reducing the contrast-to-noise ratio.

1621
Comparison of 2D and 3D Quiescent Interval Slice-Selective Non-Contrast MR Angiography in Patients with Peripheral Artery Disease
Akos Varga-Szemes1, Pascale Aouad2, U. Joseph Schoepf1, Tilman Emrich1, Basel Yacoub1, Thomas M Todoran3, Ioannis Koktzoglou4, and Robert R Edelman4

1Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, United States, 2Northwestern University, Chicago, IL, United States, 3Department of Medicine, Medical University of South Carolina, Charleston, SC, United States, 4Department of Radiology, Northshore University HealthSystem, Evanston, IL, United States

2D quiescent-interval slice-selective (QISS) MRA is an established technique in peripheral artery disease (PAD), however, its slice thickness is inferior to that used for computed tomography angiography (CTA). The prototype thin-slab stack-of-stars (tsSOS) QISS technique achieves CTA-like slice thickness. In this three-center study, we compared 2D-QISS and tsSOS-QISS MRA for the detection PAD in 23 patients. Overall image quality was not different between tsSOS-QISS and 2D-QISS. AUCs for PAD detection were not statistically different between the techniques (P=0.336). Our results indicate that 3D tsSOS-QISS provides similar accuracy in patients with PAD to a standard commercially available 2D-QISS technique.

1622
Non-contrast high-resolution 4D-peripheral MRA using Retrospective EPI
Yasuhiro Goto1, Michinobu Nagao1, Masami Yoneyama2, Yasutomo Katsumata2, Isao Shiina1, Kazuo Kodaira1, Yutaka Hamatani1, Takumi Ogawa1, Mamoru Takeyama1, Isao Tanaka1, and Shuji Sakai1

1Women's Medical University Hospital, tokyo, Japan, 2Philips Japan, tokyo, Japan

We investigated whether non-contrast, high resolution PPU-triggered 4D-peripheral MRA using Retrospective EPI (REPI). REPI 4D-peripheral MRA with VENC of 10 cm/s showed higher vascular conspicuity compared with the conventional methods.

1623
Planning-less REACT-MD: Fast and simple run-off exam of the total legs with simultaneous non-contrast MRA and black-blood imaging
Yutaka Hamatani1, Kayoko Abe2, Masami Yoneyama3, Christoph Katemann4, Shuo Zhang4, Yasuhiro Goto1, Michinobu Nagao2, Isao Shiina1, Kazuo Kodaira1, Takumi Ogawa1, Mamoru Takeyama1, Isao Tanaka1, and Shuji Sakai2

1Department of Radioligical Services, Tokyo Women's Medical University Hospital, Tokyo, Japan, 2Department of Diagnostic imaging & Nuclear Medicine, Tokyo Women's Medical University Hospital, Tokyo, Japan, 3Philips Japan, Tokyo, Japan, 4Philips Healthcare, Hamburg, Germany

Magnetic resonance angiography (MRA) is essential to characterize luminal changes and detect abnormalities in peripheral vascular diseases. However, clear depiction of the vascular structures without contrast within a short scan time remains challenging and is often limited by complicated exam and long procedure time. In this study, we employ planning-less REACT-MD (Relaxation-Enhanced Angiography without Contrast and Triggering with Multiple Delays) with simultaneous non-contrast MRA and black-blood imaging for fast and simple run-off exams of the lower extremities without additional scout acquisition and volume planning, aiming to provide multi-contrast images with diagnostic quality and simplified clinical workflow.

1624
Clinical Ultra-High Field Protocol for Visualization and Quantification of Lesion Components in Peripheral Artery Disease
Kavya Sinha1, Christof Karmonik2, Alan B Lumsden1, and Trisha Roy1

1DeBakey Heart & Vascular Center, Houston Methodist Hospital, Houston, TX, United States, 2Translational Imaging Center, Houston Methodist Research Institute, Houston, TX, United States

Peripheral arterial disease (PAD) has been estimated to reduce quality of life in approximately 2 million symptomatic Americans, with millions more expected to suffer PAD-associated impairment. Anatomic characteristics of PAD lesions influence clinical outcomes, including the success and durability of endovascular treatments. Current clinical imaging modalities CTA, fluoroscopy and ultrasound do not depict plaque characterization to the extent of MRI. In this abstract we show how clinical ultra-high field protocol can be used for visualization and quantification of lesion components in peripheral artery disease.


1625
Comparison of femoral artery plaque characteristics between men and women in elderly population using magnetic resonance vessel wall imaging
Lichen Zhang1,2, Yongjun Han3, Maobin Guang4, Zhu Zhu4, Jianming Cai5, and Xihai Zhao6

11Medical School of Chinese PLA, Beijing, China., Beijing, China, 2Department of Radiology, the Fifth Medical Center, Chinese PLA General Hospital, Beijing, China., Beijing, China, 3Department of radiology, Aerospace Center Hospital, Beijing, China., Beijing, China, 4Department of Radiology, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China, Yangzhou, China, 5Department of Radiology, the Fifth Medical Center, Chinese PLA General Hospital, Beijing, China., Beijing, China, Beijing, China, 6Center For Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China, Beijing, China

We sought to investigate the differences of plaque characteristics in different femoral artery segments between males and females using magnetic resonance vessel wall imaging. The 3D-MERGE was acquired from the common femoral artery to the popliteal artery. We compared the differences of femoral artery plaque characteristics between men and women. Men had significantly larger area of lumen and wall, but smaller normalized wall index compared with women. Men have larger vessel size but lower plaque burden then women, more attention is needed to be paid to asymptomatic elderly women.

1626
Predicting In Vivo Signal Intensity in Contrast Enhanced MRA Based on Blood Concentration of Gadolinium-Based Contrast Agents
Evan Norris1, Guenther Schneider2, Toshimasa Clark1, Miles Kirchin3, Gregory Wilson4, and Jeffrey Maki1,4

1Radiology, University of Colorado, Aurora, CO, United States, 2University Hospital of Saarland, Homburg, Germany, 3Bracco Imaging, Milan, Italy, 4University of Washington, Seattle, WA, United States

Recent insight into the behavior of blood R1 and R2* predicts the precise manner that signal intensity increases, plateaus, and ultimately diminishes with increasing gadolinium-based contrast agent concentration ([GBCA]). This has important implications for optimal GBCA utilization and administration in contrast enhanced MRA (CE-MRA). We validate these theoretical constructs in an in vivo pig model where time resolved CE-MRA and [GBCA] (via mass spectrometry) are acquired simultaneously, demonstrating that the theoretical relationship between [GBCA] and R1, R2* as applied to first pass CE-MRA allows for accurate predictions of CE-MRA signal intensity for any given blood concentration across three different GBCAs. 

1627
Dual-echo 3D-MERGE with Adiabatic Flow Suppression for Large-coverage Carotid Vessel Wall Imaging
Zechen Zhou1, Niranjan Balu2, Holger Eggers3, Peter Börnert3, Thomas S. Hatsukami2, and Chun Yuan2

1Philips Research North America, Cambridge, MA, United States, 2Vascular Imaging Lab, University of Washington, Seattle, WA, United States, 3Philips Research Hamburg, Hamburg, Germany

In this work, a dual-echo 3D-MERGE with adiabatic flow suppression was developed to improve the image quality of large-coverage carotid vessel wall imaging (VWI). The initial experiments on plaque specimen  and healthy volunteers have demonstrated its potential for plaque component analysis and feasibility to achieve isotropic 0.8mm VWI with improved fat/flow suppression and additional quantitative fat fraction/field maps by using this ~4min large-coverage scan.

1628
Quantitative evaluation of signal intensity threshold for carotid plaque components in cardiovascular MR imaging: Validation by histology
Dongye Li1, Huiyu Qiao2, Yongjun Qiao2, Hualu Han2, Dandan Yang2, Jingli Cao3, Huimin Xu4, Tao Wang4, Jun Shen1, and Xihai Zhao2

1Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China, 2Department of Biomedical Engineering, Center for Biomedical Imaging Research, Tsinghua University School of Medicine, Beijing, China, 3China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China, 4Peking University Third Hospital, Beijing, China

It is important to accurately identify carotid necrotic core (NC), intraplaque hemorrhage (IPH) due to its strong association with ischemic stroke. Multi-contrast cardiovascular magnetic resonance (CMR) vessel wall imaging has become an effective non-invasive technique to assess carotid plaque components. The aim of this study sought to confirm criteria of signal intensity threshold of all plaque components by comparing multiple tissue references validated by histology. This study afforded a standard of the signal intensity threshold ratio of carotid plaque components compared to reference tissues on multi-contrast cardiovascular MR imaging, and provides the basis for accurate identification of crucial plaque components.

1629
Free-breathing T1-weighted black-blood vessel wall MRI based on radial imaging with motion sensitized driven equilibrium (MSDE) preparation
Takashi Namiki1, Hiroshi Hamano1, Naoki Udo2, Inka Ristow3, Felicia-Marie von Düring3, Alexander Lenz3, Shuo Zhang4, and Masami Yoneyama1

1Philips Japan, Tokyo, Japan, 2Department of Radiological technology , Yuuai Medical Center, Okinawa, Japan, 3Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Hospital Hamburg-Eppendorf, Hamburg, Germany, 4Philips, Hamburg, Germany

Black-blood MRI is essential to characterize vessel wall in vivo and to identify vascular abnormalities. However, clear depiction of the wall structures in the thoracoabdominal region remains challenging and often suffers from pulsation or breathing artifacts. In this study, we employ motion sensitized driven equilibrium (MSDE) preparation technique and combine with radial-based 3D gradient- and 2D spin-echo imaging pulse sequences. Initial results in healthy volunteer and patients are reported in comparison to the conventional bright-blood and Cartesian techniques, which have shown promise in detection of vessel wall lesions before or after injection of contrast agent.

1630
Quantitative MRI to compare vascular health in nonsmokers, smokers, and vapers.
Alessandra Caporale1, Michael Langham1, and Felix W Wehrli1

1Radiology, Laboratory for Structural, Physiologic and Functional Imaging, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States

To investigate the effects of chronic exposure to cigarette smoke or electronic cigarette aerosol on the vascular endothelium, various MRI parameters were examined in an ongoing study involving healthy young people (mean age<30y). Peripheral, cerebrovascular reactivity, and central aortic stiffness were evaluated comparing smokers (N=11) and vapers (N=15) to their nonsmoking-peers (N=31).  There were no significant differences between groups, but hyperemic blood flow acceleration trended lower in smokers/vapers while arterial stiffness trended higher in smokers, relative to nonsmokers. The findings may suggest that exposure in these young subjects was not be sufficient to cause measurable adverse effects on the endothelium.


Neurovascular MRA & Vessel Wall

MR Angiography & Vessel Wall
 Cardiovascular

1631
Usefulness of 3D Radial Stack-of-stars Ultra-short TE MRA after Treatment of Cerebral Aneurysms with Metallic Devices
Daichi Murayama1, Takayuki sakai1, Masami Yoneyama2, and Shigehiro Ochi3

1Radiology, Eastern Chiba Medical Center, Chiba, Japan, 2Philips Japan, Tokyo, Japan, 3Eastern Chiba Medical Center, Chiba, Japan

We combined 3D radial sequences using stack-of-stars acquisition with uTE sampling to enable short-time imaging of local areas. This study was to apply uTE sequences using 3D radial stack-of-stars collection to MRA to determine its usefulness as a follow-up MRA after treatment of cerebral aneurysms metallic devices. The range of signal reduction around the treated area was significantly smaller in the uTE-MRA than in the TOF-MRA. uTE-MRA improved the visualization of peri-aneurysm vessels and neck remnant in the metallic devices. uTE-MRA using 3D radial stack-of-stars collection is useful for follow-up MRA after treatment of cerebral aneurysms metallic devices.

1632
Identification of Blood Flow Directions in the Circle of Willis using iSNAP dynamic MRA
Josh Liu1, Zhensen Chen1, Niranjan Balu1, and Chun Yuan1

1Electrical and Computer Engineering, University of Washington, Seattle, WA, United States

Blood flow directions in vessels of the Circle of Willis (CoW) may have important implications for stroke risk. In this study, an algorithm is developed to identify the blood flow direction within vessel segments of the Circle of Willis (CoW) using the dynamic MRA component of the recently developed sequence iSNAP. The CoW of twenty-two patients were analyzed using the algorithm, and an ~85% accuracy was achieved with 3D Phase Contrast as the reference. 

1633
Developmental trajectories of cerebral blood flow and neurodevelopmental score in preterm children from 28 days to 13 years
Peiyao Chen1, Chao Jin1, Xianjun Li1, Miaomiao Wang1, Congcong Liu1, Xiaoyu Wang1, Fan Wu1, Yuli Zhang1, Cong Tian1, Mengxuan Li1, Xiaocheng Wei2, and Jian Yang1

1First Affiliated Hospital of Xi 'an Jiaotong University, Xi'an, Shaanxi, China, 2MR Research China, GE Healthcare, Beijing, China

Preterm children often accompany undesirable neurodevelopmental outcomes. Adequate cerebral blood flow (CBF) is essential to brain development and function. However, little is known about relationship among preterm birth, CBF and neurodevelopmental outcome. This study aims to investigate the effect of preterm birth on CBF and explore the relationship between CBF and neurodevelopmental score. Our results suggest that the effects of preterm birth on intellectual development are long lasting and extend even into late childhood. After controlling for age, CBF shows positive correlations with mental and psychomotor development indexes in left frontal and occipital lobes in preterm children.

1634
The Current Status of Black-Blood Thrombus Imaging in Assessment of Cerebral Venous Thrombosis in a Real-word Clinical Practice
Xiaoxu Yang1, Qi Yang2, Jiangang Duan2, Zhaoyang Fan3, Fang Wu4, and Xunming Ji4

1Chaoyang Hospital, Beijing, China, 2Chaoyang Hospitao, Beijing, China, 3Cedars Sinai Medical Center, Los Angeles, CA, United States, 4Xuanwu Hospital, Beijing, China

We evaluated diagnostic and staging performance of BTI in patients with suspected CVST compared with conventional imaging methods in a real-world study. Our results verified high diagnostic value of BTI in a large patient cohort and BTI provided another advantage of accurate staging (acute, subacute and chronic), achieving more thrombosed segments of definite stage, which is important for clinical strategy.

1635
Using High Resolution MR microscopy to assess atherosclerosis in ApoE-KO mice fed diets of varying macronutrient content
Courtney Whalen1, Sean Gullette2, A. Catharine Ross1, Rita Castro1,3, and Thomas Neuberger4,5

1Nutritional Sciences, The Pennsylvania State University, University Park, PA, United States, 2Huck Institute of the Life Science, The Pennsylvania State University, University Park, PA, United States, 3University of Lisbon, Lisbon, Portugal, 4Huck Institute of the Life Science, University Park, PA, United States, 5Biomedical Engineering, The Pennsylvania State University, University Park, PA, United States

A ketogenic, low carbohydrate and extremely high fat, diet has been shown to positively impact CVD risk factors. Nevertheless, its effect on atherosclerosis has not been measured. Here, we used 14T MR microscopy to assess atherosclerotic plaque volume, localization, and regional plaque burden in apoE-KO mice fed a ketogenic diet compared to those fed a high fat diet or a control diet. Results show that a ketogenic diet had a protective effect against atherosclerosis compared to a high fat diet as measured by total plaque volume and plaque burden, this effect was not specific to individual regions of the aorta.

1636
Morphological and hemodynamic alterations of major brain feeding arteries across the lifespan
Zhe Sun1,2, Dengrong Jiang3, Marco Muccio1, Chenyang Li1,2, Zixuan Lin3, Peiying Liu3, Hanzhang Lu3, and Yulin Ge1

1Radiology, NYU Langone Health, New York, NY, United States, 2Vilcek Institute of Graduate Biomedical Science, New York University School of Medicine, New York, NY, United States, 3Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States

Vascular dysfunction is frequently found in neurodegenerative and cerebrovascular diseases and closely related to age. Bilateral internal carotid arteries (ICAs) and vertebral arteries (VAs) are the key feeding vessels of the brain, which may provide important indices of intracranial health status. We aimed to evaluate age-related morphological and hemodynamic changes of the vessels using TOF MRA and phase contrast MRI. More tortuous appearance as well as reduced hemodynamics were observed with aging; Blood velocity was found to be associated with the morphology after adjusting age and gender, indicating that high blood velocity and wall shear stress could induce arterial tortuosity.

1637
Improving iSNAP by using FOCI inversion RF pulse for simultaneous measurement of multiple intracranial vascular imaging contrasts
Kaiyu Zhang1, Zhensen Chen1,2, Rui Li2, Huijun Chen2, Niranjan Balu1, and Chun Yuan1,2

1Vascular Imaging Lab and BioMolecular Imaging Center, Department of Radiology, University of Washington, Seattle, WA, United States, 2Center for Biomedical Imaging Research, Tsinghua University, Beijing, China

Multi-contrast images including hemodynamic information in one sequence have significant impact in evaluating intracranial vessels. In this work, we proposed to use FOCI inversion pulse combined with the multi-contrast sequence iSNAP to further improve image quality of dynamic and static MRA. Promising results were obtained from both phantom and in vivo data.

1638
MRA based on pointwise encoding time reduction with radial acquisition improves uniformity of cavernous segment of internal carotid artery
Tongtong Sun1, Yu Zhang1, Tongtong Li1, Yuan Luo2, Jinxia Zhu3, Cheng Cheng4, and Hongyan Ni5

1Radiology, First Central Clinical College, Tianjin Medical University, Tianjin, China, 2Radiology, China-Japan Friendship Hospital, Beijing, China, 3MR Collaboration, Siemens Healthcare, Beijing, China, 4MR Application, Siemens Healthcare, Beijing, China, 5Radiology, Tianjin First Central Hospital, Tianjin, China

This study compared the differences between PETRA-MRA and TOF-MRA on the imaging of the cavernous segment of the ICA with qualitative analysis (image quality) and quantitative analysis (SNR, CNR, CR, and uniformity). The results showed that PETRA-MRA significantly improved the uniformity and CR of the cavernous segment of ICA, although it is inferior in both SNR and CNR. This suggests that PETRA-MRA could provide a reasonable alternative to reduce the loss of signal from curved vessels.

1639
Vessel segmentation on intracranial noncontract enhanced dynamic MR angiography using spatial-temporal correlation between voxels
Cheng Zhong1, Niranjan Balu2, Chun Yuan2, and Zhensen Chen2,3

1Fudan University, Shanghai, China, 2Department of Radiology, University of Washington, Seattle, WA, United States, 3Center for Biomedical Imaging Research, School of Medicine, Tsinghua University, Beijing, China

A novel method that exploits spatial-temporal correlation between pixels was developed to segment the dynamic MRA (dMRA) of intracranial arteries. Preliminary results on 3 healthy volunteers demonstrate that the proposed method can effectively identify distal vessels with low signal intensity.

1640
An investigation into the optimal undersampling parameters for 3D TOF MRA at 7T using compressed sensing reconstruction
Matthijs de Buck 1, Peter Jezzard1, and Aaron Hess2

1Wellcome Centre for Integrative Neuroimaging, FMRIB Division, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 2Oxford Centre for Clinical Magnetic Resonance Research, Department of Cardiovascular Medicine, University of Oxford, Oxford, United Kingdom

3D TOF-MRA at 7T can be greatly accelerated using compressed sensing reconstruction of undersampled acquisitions, but the achieved reconstruction quality depends on the undersampling pattern. In this work, optimal parameters for variable-density Poisson disk undersampling were established. For all acceleration factors, optimal reconstructions were achieved by using small fully-sampled calibration areas of 12x12 lines and a polynomial order of around 2. The optimal undersampling parameters were the same for all acceleration factors, but the importance of using optimized undersampling parameters was found to increase for higher acceleration factors.

1641
Quantitative evaluation of thrombus length and its relationship with the severity and prognosis of acute cerebral infarction using CUBE imaging
Chao Zhang1, Xinyi Wang1, and Weiqiang Dou2

1The First Affiliated Hospital of Shandong First Medical University, Jinan, China, 2GE Healthcare, MR Research China, Beijing, China

This study aimed to quantitatively evaluate thrombus length and its relationship with the severity and prognosis of acute cerebral infarction using high resolution CUBE imaging. National institute of health stroke scale (NIHSS)  score and modified rankin scale (mRS) score were used to quantify the degree of neurological impairment and the prognosis of patients. The length of cerebral artery thrombosis was measured with CUBE imaging. Strong relationship was revealed between the thrombus length and NIHSS or mRS score. We therefore demonstrated that thrombus length measurement based on CUBE MRI can effectively evaluate the severity and prognosis of acute cerebral infarction.  

1642
Preoperative cerebral small vessel disease is independently associated with cerebral hyperperfusion after carotid endarterectomy
Xiaoyuan Fan1, Zhichao Lai1, Tianye Lin1, Juan Wei2, and Feng Feng1

1Peking Union Medical College Hospital, Beijing, China, 2GE Healthcare, Beijing, China

Whether preoperative cerebral small vessel disease and carotid near-occlusion are associated with cerebral hyperperfusion (CH) after carotid endarterectomy has not been reported. This study demonstrated that preoperative Fazekas score ≥ 3, number of lacunes ≥ 2 combined with the presence of carotid near-occlusion can accurately predict CH after carotid endarterectomy. This encourages preoperative MRI scans and suggests we should pay particular attention to patients with CSVD and carotid near-occlusion.

1643
Can hybrid ASL-tagged ZTE MRA be an effective candidate in the evaluation of intracranial artery diseases? A clinical feasibility study
Song'an Shang1, Weiqiang Dou2, and Jingtao Wu3

1Nanjing First Hospital, Nanjing Medical University, Nanjing, China, 2GE Healthcare, MR Research China, Beijing, China, 3Northern Jiangsu People’s Hospital, Yangzhou, China

Flow related artifacts in continuous arterial spin labeling (cASL) zero-echo-time (ZTE) magnetic resonance angiography (MRA) could influence the visualization of vasculature. This study aimed to investigate the clinical feasibility of ZTE-MRA with hybrid arterial-spin-labeling (hASL) tagged for assessing the intracranial artery diseases assessment. Our clinical results indicated that relative to conventional ZTE-MRA, hASL-ZTE-MRA was more robust and superior in the depiction of intracranial artery diseases and follow-up assessment in a clinical population while maintaining a ZTE-derived nature.

1644
Vessel-selective 4D MRA Based on ASL for Treatment Evaluation in Patients with Bypass Surgery: Comparison with 3D TOF MRA and DSA
Maoxue Wang1, Yi Wang1, Yongbo Yang1, Yongbo Yang1, Ming Li1, Jilei Zhang1, and Bing Zhang1,2

1The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China, 2Institute of Brain Science, Nanjing University Nanjing, Nanjing, China

A comparison of 4D MRA and 3D TOF MRA in patients with moyamoya vasculopathy after revascularization.

1645
Evaluation of optimized 4D ultrashort TE MR Angiography using Variable Inversion Time
Haruyuki Fukuchi1,2,3, Toshiya Akatsu4, Kei Fukuzawa3, Nao Takano4, Yutaka Ikenouchi2, Michimasa Suzuki2, Kohji Kamagata2, Akihiko Wada2, Osamu Abe1, and Shigeki Aoki2

1Radiology, Department of Radiology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan, 2Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan, 3Department of Radiology, Toranomon Hospital, Tokyo, Japan, 4Department of Radiology, Juntendo University Hospital, Tokyo, Japan

We developed and refined a novel method, Variable TI, to improve the visibility of ASL based UTE 4D-MRA. From numerical simulations and the flow phantom studies we found the signal tendency and blood signal skipping phenomena. With refined parameters we got 50% of signal enhancement comparing to conventional method. We conduct volunteer study with the refined Variable TI UTE 4D-MRA and this novel method offered a higher signal intensity and improved visualization of arteries in late phase compared to the conventional method. The Variable TI technique can improve clinical usability of 4D-MRA.

1646
Removing pulsatile flow artifacts in 2D TOF MRA with Temporal Harmonic Encoding
Tzu-Cheng Chao1, Guruprasad Krishnamoorthy2, and James G. Pipe1

1Department of Radiology, Mayo Clinic, Rochester, MN, United States, 2Philips Healthcare, Gainesville, FL, United States

2D TOF MRA provides important diagnostic information around carotid bifurcation. However, the image is prone to artifacts caused by pulsatile flow. The present work utilized Temporal Harmonic Encoding scheme to reduce these artifacts by extracting only the static signals for MRA. Meanwhile, the harmonic components containing dynamic information could also be used as a reference. 

1647
High resolution magnetic resonance imaging-based texture analysis for the assessment of carotid atherosclerotic plaques vulnerability
Sihan Chen1, Changsheng Liu1, Xixiang Chen1, Ling Ma2, and Yunfei Zha1

1Radiology, Renmin Hospital of Wuhan University and Hubei General Hospital, Wuhan, China, 2Advanced Application Team, GE Healthcare, Wuhan, China

This study aimed to assess the vulnerability of carotid atherosclerotic plaques using the combination of radiomics nomogram and clinical high-risk factors. Texture features were extracted from high-resolution multi-contrast magnetic resonance imaging. Radscore was applied to build a diagnostic model with the consideration of hrMRI texture features and patient demography to assess the power in differentiating vulnerable and stable lesions. The radscore showed a better diagnostic performance. The combination model of texture and clinical information had the best performance in assessing lesion vulnerability. This study demonstrated that hrMRI texture features provided incremental value for the carotid atherosclerotic vulnerability assessment.

1648
Can 3D pseudo-continuous territorial arterial spin labeling effectively diagnose patients with recanalization of unilateral MCA stenosis?
Xinyu Wang1, Weiqiang Dou2, Xinyi Wang1, Kunjian Chen1, Huimin Mao1, and Yu Guo1

1Radiology department, The First Affiliated Hospital of Shandong First Medical University, Jinan, China, 2MR Research China, GE Healthcare, Beijing, China

In this study, the main purpose was to explore the feasibility of 3D pseudo-continuous territory arterial spin labeling (tASL) in evaluating unilateral middle cerebral artery (MCA) recanalization. We included 47 patients with unilateral MCA stenosis diagnosed by DSA and performed tASL examination. Increased relative cerebral blood flow (rCBF) values were found in the blood supply area of MCA postoperatively than pre-operatively. Good prognosis was also revealed to closely associate with Alberta Stroke Program Early CT Score (ASPECTS) scores based on tASL perfusion images. Therefore, tASL can be used as one valuable method to diagnose the effect of vascular recanalization.

1649
The circle of stent design for intracranial aneurysm treatment: role of MRI.
Mariya Stanislavovna Pravdivtseva1, Prasanth Velvaluri2, Fritz Wodarg1, Eckhard Quandt2, Rodrigo Lima de Miranda3, Jan-Bernd Hövener1, Philipp Berg4, and Olav Jansen1

1Department of Radiology and Neuroradiology, Section Biomedical Imaging, Molecular Imaging North Competence Center (MOIN CC), University Medical Center Schleswig-Holstein (UKSH), Kiel University, Kiel, Germany, Kiel, Germany, 2Chair for Inorganic functional materials, University of Kiel, Kiel, Germany, Kiel, Germany, 3Acquandas GmbH, Kasierstrasse 2, Kiel, Germany, Kiel, Germany, 4Research Campus STIMULATE, University of Magdeburg, Magdeburg, Germany, Magderburg, Germany

Intracranial aneurysms are a life-threatening disease, which can be treated with flow diverter stents. However, complications during or after this endovascular treatment might occur. Therefore, there is a need to improve the current minimally-invasive technologies. In the present study, we proposed and utilized the concept of the iterative stent design focusing on 1) fast prototyping using microsystem  technologies and 2) in vitro testing the flow reduction in real-world conditions using 4D flow MRI. As a result, the flow volume entering the aneurysm in the presence of a stent was reduced by 10 %, and then by 85 %.

1650
Clinical feasibility study of extracranial carotid arteries magnetic resonance angiography using PETRA-MRA
Yue Qin1, Xin Li1, Yinhu Zhu1, Dayong Jin1, Yifan Qian1, Juan Tian1, Liyao Liu1, Yanqiang Qiao1, and Shaoyu Wang2

1XIAN DAXING HOSPITAL, Xi'an, China, 2MR Scientific Marketing, Siemens Healthineers, Xi'an, China

Magnetic resonance angiography (MRA) is increasingly used as a non-invasive method to assess carotid arteries. TOF-MRA, because it is dependent on the flow of magnetized blood into the volume being imaged, is highly susceptible to conditions that disrupt laminar flow. Depiction of the carotid region using Silent imaging was often superior to that obtained with conventional techniques, where the ultrashort TE minimized flow-related signal dropout. This study aimed to evaluate the feasibility of PETRA-MRA in imaging the vascular structures of the extracranial carotid arteries. We found that PETRA-MRA showed significantly higher image quality and better visualized extracranial carotid arteries.


Velocity & Flow: Applications

Velocity & Flow
 Cardiovascular

2063 TKE measurement based on 4D Flow MRI can predict distal aortic expansion after artificial blood vessel replacement for type A aortic dissection
SAYAKA SHIRAI1, Tetsuro Sekine1, Kenichiro Takahashi1, Jiro Kurita1, Yosuke Ishii1, and Shinichiro Kumita1

1Nippon Medical School Hospital, Tokyoto Bunkyoku, Japan

To investigate whether turbulent kinetic energy measurement around anastomosis can be used as a predictor for residual aortic expansion after aortic replacement for type A aortic dissection. The TKEpeak of AoR group was significantly higher than those of volunteers (15.12 ± 7.06 [3.51–28.38] vs. 4.50 ± 1.64 [2.57–8.13] mJ, p < 0.001). There was a strong correlation between the annual expansion rate and distal TKEpeak (R²=0.818).

2064
Attenuation of left ventricular blood flow kinetic energy and direct flow in repaired Fontan patients: a 4D flow MRI study
Liwei Hu1, Xiaodan Zhao2, Rongzhen Ouyang1, Shuang Leng2, Yong Zhang3, Liang Zhong2,4, and Yumin Zhong1

1Shanghai Children's Medical Center, Shanghai, China, 2National Heart Centre Singapore, Singapore, Singapore, 3GE Healthcare, Shanghai, China, 4Duke-NUS Medical School, National University of Singapore, singapore, Singapore

Four-dimensional flow (4D flow) magnetic resonance imaging (MRI) enables the quantification of blood flow such as kinetic energy (KE) and flow components within the ventricular. Both KE and flow components is associated with ventricular diastolic and systolic function. This study aimed to quantify left ventricular (LV) KE and flow components in repaired Fontan patients in comparison to normal volunteers. The data showed that LV diastolic and systolic KE and direct flow were significant reduced, and residual flow increased in repaired Fontan patients.

2065
Assessment of sex differences in ventricular-vascular coupling of left ventricular and aortic flow derived from 4D Flow MRI in healthy adults
Cody Johnson1, Ryan Pewowaruk2, David Rutkowski1, Amanda Wolfinger1, and Alejandro Roldán-Alzate1,2,3

1Radiology, University of Wisconsin-Madison, MADISON, WI, United States, 2Biomedical Engineering, University of Wisconsin-Madison, MADISON, WI, United States, 3Mechanical Engineering, University of Wisconsin-Madison, Madison, WI, United States

To gain insight into male-female differences in cardiovascular conditions, understanding healthy, sex differences is critical. We analyzed 20 healthy subjects with cardiac 4D flow MRI data (10 male and 10 female) to quantify LV and aortic flow, and ventricular vascular coupling (VVC) of KE and vorticity. The sex difference found in LV flow were not found in aortic flow. The VVC of LV-to-aortic flow was similar for men and women. The analysis methods and results of this study may be of further use in understanding ventricular vascular coupling of flow variables in various cardiovascular conditions.

2066
Associations of Cardiac Rhythm with left atrial and left atrial appendage hemodynamics measured with 4D flow in Atrial Fibrillation
Amanda L DiCarlo1, Justin Baraboo1,2, Patrick McCarthy3, Rishi Arora4, Rod Passman4, Philip Greenland4, Daniel C Lee1,4, Daniel Kim1,2, and Michael Markl1,2

1Radiology, Northwestern University, Chicago, IL, United States, 2Biomedical Engineering, Northwestern University, Chicago, IL, United States, 3Cardiac Surgery, Northwestern University, Chicago, IL, United States, 4Cardiology, Northwestern University, Chicago, IL, United States

Atrial fibrillation (AF) is the most common cardiac arrhythmia, characterized by irregular heart rhythm which can lead to stroke due to thrombus formation in the left atrium (LA) or left atrial appendage (LAA). Reduced velocities and increased stasis measured with 4D flow MRI are risk metrics correlated with LA thrombus formation and potential predictors of stroke. This study analyzed the relationship between heart rate variability derived from a real time MRI acquisition and 4D flow hemodynamic risk metrics. LA peak velocity and stasis were significantly correlated with heart rate variability, suggesting a link between rhythm status and thrombus risk.

2067
Pulsatility attenuation along the carotid siphon in pseudoxanthoma elasticum
Rick J. van Tuijl1, Jonas W. Bartstra1, Pim A. de Jong1, Willem P. T. M. Mali1, Irene C. van der Schaaf1, Ynte M. Ruigrok2, Gabriël J. E. Rinkel2, Birgitta K. Velthuis1, Wilko Jason Spiering3, and Jaco J. M. Zwanenburg1

1Radiology, UMC Utrecht, Utrecht, Netherlands, 2Neurology, UMC Utrecht, Utrecht, Netherlands, 3Vascular Medicine, UMC Utrecht, Utrecht, Netherlands

Arterial internal elastic lamina calcifications in pseudoxanthoma elasticum (PXE) may reduce the normal attenuation by the carotid siphon. This could contribute to increased intracranial pulsatility seen in PXE patients. We compared velocity pulsatility and distensibility along the internal carotid artery and in the middle cerebral artery between 50 PXE patients and 40 age and sex-matched controls, using 2D phase-contrast velocity mapping on 3T MRI. Distensibility was lower and pulsatility higher in patients. However, pulsatility attenuation over the siphon was similar between patients and controls. Siphon dysfunction does, therefore, not explain the increased intracranial arterial pulsatility in PXE.

2068
4D Flow MRI evaluation and intraoperative MCA pressure measurements before and after STA-MCA bypass surgery
Tetsuro Sekine1, Erika Orita1, Takahiro Ando1, Yasuo Murai1, and Shinichiro Kumita1

1Nippon Medical School, Tokyo, Japan

The purpose of this study was to clarify the intracranial hemodynamics before and after superficial temporal artery to middle cerebral artery (STA-MCA) bypass surgery by comparing flow parameters obtained by time-resolved 3-dimensional phase-contrast (4D flow) MRI and intraoperative MCA pressure measurement.

The visual and quantitative assessment of 4D flow MRI revealed that intracranial blood flow changes complementarily after STA-MCA bypass surgery. The sum of intracranial BFV can be used for the evaluation of treatment outcome after the surgery.


2069
Abdominal Aortic Aneurysm Prevents Efficient Blood Flow Delivery to Common Iliac Arteries: A study of Hemodynamic Effect of EVAR by 4D Flow.
Masataka Sugiyama1, Yasuo Takehara1, Shinji Naganawa2, Satoshi Goshima3, Atsushi Nozaki4, Tetsuya Wakayama4, and Marcus Alley5

1Department of Fundamental Development for Advanced Low Invasive Diagnostic Imaging, Nagoya University, Graduate School of Medicine, Nagoya, Japan, 2Department of Radiology, Nagoya University, Graduate School of Medicine, Nagoya, Japan, 3Department of Radiology, Hamamatsu University School of Medicine, Hamamatsu, Japan, 4Applied Science Laboratory Asia Pacific, GE Healthcare Japan, Hino, Japan, 5Department of Radiology, Stanford University School of Medicine, Palo Alto, CA, United States

4D Flow MRI were performed for 12 abdominal aortic aneurysm patients who underwent EVAR before and after the treatment. Peak systolic blood flow in the common iliac arteries has significantly increased after EVAR (right: p=0.016, left: p=0.016). The aneurysm might have stored blood like a reservoir in systole and have inhibited the delivery of blood flow to the iliac arteries.  The stent placement of EVAR may have repaired the deformed blood flow path and improved the efficiency of blood flow delivery to the periphery. 4D Flow have shown its power for analyzing the hemodynamic effects of EVAR.

2070
Age and anatomical location related hemodynamic changes assessed by 4D flow MRI in the Cerebral Arterial of healthy adults
Laiyang Ma1, Chuang Wu1, Na Han1, Jing Zhang1, and Kai Ai2

1LanZhou University Second Hospital, LanZhou, China, 2Philips Healthcare, Xi'an, China

The purpose of this study was to evaluate the hemodynamic changes in the cerebral arterial of healthy adults among different ages and anatomical locations by using 4D flow MRI. We measured blood flow volume, velocity, wall shear stress (WSS) of cerebral arterial. The hemodynamic changes among different groups were significantly distinct. The young group showed significantly higher in velocity and WSS. Velocity and WSS were decreased with age. The proximal posterior cerebral artery (pro-PCA) had lower volume, velocity and WSS than other parts. 4D Flow MRI could quantify the change of hemodynamics parameters in the cerebral arterial of healthy adults.

2071
Helical Flow of Superior Vena Cava Helical Flow in Healthy Young Males: a 4D Flow MRI Study
Huaxia Pu1, Haoyao Cao2, Yubo Fan3, Jinge Zhang1, Zhenlin Li1, Zhan Liu2, Liqing Peng1, Tinghui Zheng2, Xiaoyue Zhou4, and Ning Jin5

1Department of Radiology, West China Hospital, Sichuan University, Chengdu, China, 2Department of Applied Mechanics, Sichuan University, Chengdu, China, 3Key Laboratory for Biomechanics and Mechanobiology of the Ministry of Education, School of Biological Science and Medical Engineering, Beihang University, Beijing, China, 4MR Collaboration, Siemens Healthineers Ltd, Shanghai, China, 5Siemens Medical Solutions USA, Chicago, IL, United States

The existence of helical flow in the superior vena cava (SVC) is not well understood in vivo. 4D flow MRI data of the SVC and brachiocephalic veins (BVs) were acquired in 8 healthy young males. SVC hemodynamic parameters, including velocity, pathlines, streamlines, and flow waveforms, were measured using a specialized post-processing software. Helical flow was present in the normal SVC. The flow pathlines from the right and left BVs formed helical flows, respectively, with two development types: twining and untwining. These findings may elucidate the occurrence and development of potential SVC disease.

2072
Non-contrast 4D Dynamic Coronary MRA using Retrospective EPI (REPI) 4D-Flow Sequence
Yasuhiro Goto1, Michinobu Nagao1, Masami Yoneyama2, Yasutomo Katsumata2, Isao Shiina3, Kazuo Kodaira1, Takumi Ogawa1, Yutaka Hamatani3, Mamoru Takeyama3, Isao Tanaka1, and Shuji Sakai1

1Women's Medical University Hospital, tokyo, Japan, 2Philips Japan, tokyo, Japan, 3Tokyo Women's Medical University Hospital, tokyo, Japan

Since the REPI 4D MRA images the entire cardiac cycle, it may be possible to visualize the flow of the pulmonary artery, pulmonary vein, left ventricle, left ventricle, and aorta in addition to morphological evaluation of the coronary artery.The purpose of this study was to examine mainly LAD about the possibility of the practical use of REPI 4D MRA. REPI 4D MRA with choice of the VENC=30 cm/s could well visualize the coronary arteries from proximal to distal of the LAD.

2073
Anatomical location related hemodynamic changes assessed by 4D flow MRI in the intracranial arteries of young secondary hypertensive patients
Na Han1, Chuang Wu1, Laiyang Ma1, Yurong Ma1, Jing Zhang1, and Kai Ai2

1Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, China, 2Philips Healthcare, Xi'an, China

The multi-parameter analysis of 4D flow MRI can identify the changes of hemodynamic parameters in different anatomical location of intracranial arteries. This study evaluating the hemodynamic changes (volume, velocity, wall shear stress) in the intracranial arteries of young secondary hypertensive patients among different anatomical locations (ICA-C3, ICA-C7, proximal MCA, proximal PCA, middle BA) using 4D flow MRI. The proximal PCA had significantly lower volume, velocity and wall shear stress than the values determined for other locations. The wall shear stress at the anatomical location of ICA-C3 was decreased in young secondary hypertensive patients.

2074
Multi-VENC 4D flow MRI demonstrates pulmonary stenosis and arterial-pulmonary collateral in congenital conotruncal anomaly
Michinobu Nagao1, Yumi Shiina1, Yasuhiro Goto1, Isao Shiina1, Kazuo Kodaira1, Masami Yoneyama2, Takashi Namiki2, Yuka Matsuo1, Atsushi Yamamoto1, Kei Inai1, and Shuji Sakai1

1Tokyo Women's Medical University, Tokyo, Japan, 2Philips Japan, Tokyo, Japan

We propose a free-breathing 4D flow sequence with echo-planar imaging (EPI) and rapid reconstruction to facilitate clinical use. Pulmonary stenosis or atresia is a common anatomic component of congenital conotruncal anomaly. Multi-VENC 4D flow MRI with EPI can simultaneously visualize the pulmonary artery stenosis and associated collaterals of slow flow formed by peripheral arteries. Consequently, all sources of pulmonary blood supply and of the size and morphology of the pulmonary arteries can be completely delineated.

2075
Evaluation of Portal System Flow with liver 4D-Flow and APTw MRI in Response to a Meal Challenge
Lihua Chen1, Ailian Liu1, Jiazheng Wang2, Yishi Wang2, and Qingwei Song1

1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China

Liver MRI was conducted with both 4D-Flow and APTw imaging before and after a meal challenge. After the meal, significantly increased blood flow velocity and volume were observed in portal vein (PV) and superior mesenteric vein (SMV) and significantly decreased blood flow was observed in splenic vein (PV), while no change was observed in APT values (MTRasym) in liver parenchyma after the meal.

2076
First Experiences Utilizing Whole-Chest 4D-Flow for Everyday Clinical Use:  A Step from Bench to Bedside
Maurice Pradella1,2, Michael B Scott1, Brad D Allen1, Ryan Avery1, and Michael Markl1,3

1Department of Radiology, Northwestern University, Chicago, IL, United States, 2University Hospital Basel, University of Basel, Basel, Switzerland, 3Department Biomedical Engineering, Northwestern University, Chicago, IL, United States

We present initial results of our novel full chest, free-breathing 4D-flow protocol which was designed for clinical use. In 25 patient who required imaging of aortic and pulmonic flow, it proved to be feasible for two reasons: mean acquisition times of 4D-flow was 12.5min versus 9.7min for 2D phase contrast (2D-PC) imaging, resulting in only a minor mean measurement time increase of about three minutes. Second, flow measurements for aortic and pulmonic flow for were consistent for both 4D-flow and 2D-PC. We will continue with our evaluation in a larger cohort to confirm these initial results.

2077
4D flow MRI for assessment of blood flow in hepatic arteries of patients with HCC treated with transarterial chemoembolization: a pilot study
Rihab Mansour1, Narges Salehi2, William Tanguay1,3, Guillaume Gilbert4, Catherine Huet1, Gilles Soulez1, Pierre Perreault1, Damien Olivé 1, An Tang1,3, and Samuel Kadoury1,2

1Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada, 2École Polytechnique, Montréal, QC, Canada, 3Department of Radiology, Radio-Oncology and Nuclear Medicine, Université de Montréal, Montréal, QC, Canada, 4MR Clinical Science, Philips Healthcare Canada, Markham, ON, Canada

4D flow MRI measurements in the abdominal aorta, common hepatic artery, and proper hepatic arteries are feasible and provide repeatable values before and after transarterial chemoembolization in patients with hepatocellular carcinoma. Blood flow showed no statistically significant change before and after transarterial chemoembolization in the abdominal aorta, common hepatic artery, and proper hepatic artery based on a Wilcoxon test (P = 0.87, 0.72, and 0.86 respectively).

2078
Computationally Enhanced 4D Flow MRI for the Assessment of Pre- and Post-Coarctation Repair Aorta Flow Dynamics
Labib Shahid1, James Rice1, Haben Berhane2, Cynthia Rigsby3, Joshua Robinson3, Lindsay Griffin3, Michael Markl2, and Alejandro Roldán-Alzate1

1University of Wisconsin-Madison, Madison, WI, United States, 2Northwestern University, Chicago, IL, United States, 3Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, United States

CMR is used for diagnosis of COA and post-intervention assessment. Current limitations of 4D flow MRI include insufficient spatio-temporal resolution, inability to image low velocity regions, and distortion of image due to stent. The presented MRI-based computational enhancement method addresses stated limitations. Patient specific flow velocities defined the boundary conditions for numerical simulations. CFD simulations with AMR were run on segmented aorta geometries. Comparison between in-vivo and CFD results show good agreement, and residual complex flows post-repair compared to healthy control. Computational enhancement of 4D flow MRI can be used as a predictive tool in future clinical settings. 

2079
4-D Flow CMR Reveals Inefficient PA Flow Correlates with Afterload in Repaired Transposition of the Great Arteries.
Marc Delaney1, Vincent Cleveland2, Paige Mass2, Francesco Capuano3, Yue-Hin Loke4, and Laura Olivieri4

1Pediatrics, Children's National Hospital, Washington, DC, United States, 2Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, DC, United States, 3Industrial Engineering, Universita di Napoli Federico II, Naples, Italy, 4Pediatric Cardiology, Children's National Hospital, Washington, DC, United States

Repair of D- transposition of great arteries (DTGA) involves pulmonary artery (PA) manipulation that alters shape and flow patterns. Many patients experience increased right ventricular afterload and the etiology remains unclear. We examined the contribution of PA flow separation to afterload in these patients using 4D flow CMR imaging of a mock circulatory system incorporating 3D-printed PA replicas. We found that 2 distinct markers of flow inefficiency correlated with afterload. These data emphasize the utility of 4D flow CMR in quantifying abnormal blood flow  and identifying important early clinical predictors of complications in DTGA.

2080
Reverse Flow and Reverse Flow Volume is Associated with Aortic Dilatation in Bicuspid Aortic Valve Disease
Elizabeth Weiss1, Kelly Jarvis1, Chris Malaisrie2, Patrick McCarthy2, Robert Bonow3, James Carr1, Cynthia Rigsby4, and Michael Markl1

1Radiology, Northwestern University, Chicago, IL, United States, 2Cardiothoracic Surgery, Northwestern University, Chicago, IL, United States, 3Cardiology, Northwestern University, Chicago, IL, United States, 4Radiology, Lurie Children's Hospital, Chicago, IL, United States

Bicuspid Aortic Valve (BAV) patients often develop aortic dilation which can lead to life-threatening complications. Voxel-wise reverse flow was calculated to assess deranged flow in BAV patients with dilation and in healthy volunteers. In BAV patients, the mean reverse flow was significantly increased in the ascending aorta and aortic arch. The reverse flow volume (volume with reverse flow>0.03mL/cycle) was also increased. Linear regression demonstrated that these reverse flow metrics were significant contributors to mid-ascending aorta diameter even when age was accounted for. We demonstrated that reverse flow is a significant component of deranged flow in BAV disease.

2081
Assessing Portal Flow using Four-dimensional Flow MRI in Healthy Volunteers – A Reproducibility Study
Lihua Chen1, Ailian Liu1, Jiazheng Wang2, Yishi Wang2, and Qingwei Song1

1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, China, Beijing, China

Because of the development of compressed sensing (CS) technology in both spatial and temporal related data acquisition, four-dimensional flow MRI scan can be accomplished in a clinically acceptable time. We evaluated the highly accelerated four-dimensional flow magnetic resonance imaging in portal system hemodynamics studies with Compressed SENSE (CS-SENSE). There was no statistically significant difference in flow velocity, volume rate, axial-WSS of portal system when compared among different CS, measurements from the two observers matched well with each other.

2082
Lesion Patterns and Blood Flow Lateralization in Atherosclerotic Middle Cerebral Artery Disease
Wenwen Chen1, Xiaowei Song2, Shuo Chen1, Mingzhu Fu1, Hanyu Wei1, Duoduo Hou2, Le Chen2, Miaoqi Zhang1, Jian Wu2, and Rui Li1

1Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China, 2Beijing Tsinghua Changgung Hospital, Beijing, China

Intracranial atherosclerosis disease (ICAD) can induce blood flow lateralization (BFL). However, the relationship of infarct patterns (IPs) with BFL was rarely explored. This study investigated the relationship between BFL and IPs in middle cerebral artery (MCA) using 4D flow MRI. Twenty-eight patients with unilateral MCA infarction were included. Average net flow (Flowavg) of infarction side and the contralateral side of MCA-M1 were compared in various IPs. Flowavg is significantly different between two sides of MCA in cortical infarct, but not significant in subcortical lesions. This suggests that cortical infarct may be the specific pattern for BFL in MCA.


Velocity & Flow: Methods

Velocity & Flow
 Cardiovascular

2083
Limits of Turbulent Flow Spectrum Encoding using 4D Flow MRI
Hannes Dillinger1, Charles McGrath1, and Sebastian Kozerke1

1Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland

This work employs spectral interpretation of velocity encoding gradients (VEG) to assess their encoding power of fluctuating velocities in turbulent flows. Using CFD and MRI simulations based on particle tracking, it is shown that Reynolds Stress Tensor values are underestimated for VEG frequencies typically used in 4D Flow MRI, while mean velocity estimation is not impacted.

2084
Automatic and robust background phase correction on phase-contrast MRI using M-estimate SAmple Consensus (MSAC)
Carola Fischer1, Jens Wetzl1, Tobias Schäffter2,3,4, and Daniel Giese1

1Magnetic Resonance, Siemens Healthcare GmbH, Erlangen, Germany, 2Physikalisch-Technische-Bundesanstalt (PTB), Braunschweig and Berlin, Germany, 3Department of Medical Imaging, Technical University of Berlin, Berlin, Germany, 4School of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom

Background phase correction is necessary to correctly quantify flow velocity values from 2D phase-contrast MR images. However, typically used static tissue correction is susceptible to wrap-around resulting in even larger quantification errors. In this work, we successfully implemented a robust and automatic background phase correction algorithm based on M-estimate Sample Consensus (MSAC). MSAC achieves robust results over wide ranges of its few parameters. Based on 49 phase-contrast time series with and without wrap-around, MSAC reduced the average root-mean-squared error from 1.71±0.34cm/s (static fit correction) to 0.78±0.07cm/s (MSAC) in presence of wrap-around. 

2085
Dual-venc Dual-echo 2D Cine Phase-contrast MRI
Jihye Jang1,2, Yansong Zhao1, Jouke Smink3, Andrew J Powell2, and Mehdi H Moghari2

1Philips Healthcare, Gainesville, FL, United States, 2Department of Pediatrics, Harvard Medical School, Boston, MA, United States, 3Philips Healthcare, Best, Netherlands

Phase-contrast (PC) cine MRI is used for the clinical assessment of blood flow in various cardiovascular diseases. One of the challenges of PC is a trade-off between velocity aliasing artifacts and velocity-to-noise ratio (VNR). To improve VNR without velocity aliasing, we implemented a novel dual-venc dual-echo 2D cine PC sequence where both high and low-venc data are acquired within a single TR and velocity is measured using data from both venc images. In 10 patients, the dual-venc PC sequence demonstrated similar blood flow measurements with significantly better VNR compared to the standard single-venc PC sequence.

2086
The impact of compressed sensing L1-ESPIRiT reconstruction on the velocity vector fields acquired by 4D-flow MRI: A comparison to L2-ESPIRiT
Ali Nahardani1,2, Simon Leistikow2,3, Martin Krämer1,4, Karl-Heinz Herrmann1, Wan-Ting Zhao1,2, Daniel Güllmar1, Lars Linsen3, Jürgen R. Reichenbach1, and Verena Hoerr1,2,5

1Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital - Friedrich Schiller University Jena, Jena, Germany, 2Center for Sepsis Control and Care, Jena University Hospital, Jena, Germany, 3Institute of Computer Science, Department of Mathematics and Computer Science, Westfälische Wilhelms-Universität Münster, Muenster, Germany, 4Institute of Diagnostic and Interventional Radiology, Jena University Hospital - Friedrich Schiller University Jena, Jena, Germany, 5Clinic for Radiology, University Hospital Muenster, Muenster, Germany

Compressed Sensing (CS) is a popular reconstruction technique supporting 4D-flow MRI acquisitions. Many literature studied the velocity changes after CS simplifying the velocity vector field into a scalar field along the time domain. The aim of our investigation was to assess how CS influences reconstructed velocity vector fields in space. Our results showed that CS underestimated the maximum velocity values, broadened the full-width-at-half-maximum of the velocity profiles, and preserved the directional information of the velocity vector fields compared to L2-ESPIRiT. The results of CS were in agreement for differently undersampled data, while the L2-ESPIRiT reconstruction provided differing outputs.

2087
Whole-heart 4D flow MRI: comparison between pseudo-spiral undersampling with compressed sensing reconstruction and EPI readout
Carmen P S Blanken1, Lukas M Gottwald2, Jos J M Westenberg3, Eva S Peper2, Bram F Coolen4, Gustav J Strijkers4, Aart J Nederveen2, R Nils Planken2, and Pim van Ooij2

1Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, Netherlands, 2Radiology and Nuclear Medicine, Amsterdam UMC, location AMC, Amsterdam, Netherlands, 3Radiology, Leiden UMC, Leiden, Netherlands, 4Biomedical Engineering and Physics, Amsterdam UMC, location AMC, Amsterdam, Netherlands

We compare pseudo-spiral undersampled whole-heart 4D flow MRI with CS reconstruction with a clinically used EPI readout in a cohort of healthy subjects and patients with valve regurgitation. Our results indicate that pseudo-spiral CS 4D flow MRI is at least as reliable as EPI-based 4D flow MRI in terms of inter-valve consistency of blood flow measurements and agreement with 2D MRI-based regurgitant volume measurement. Doubling the undersampling factor of the CS acquisition results in <10% deviation of the measurements compared to the original acquisition, suggesting that CS scan times may be shortened to expedite clinical implementation.

2088
Echo Planar Imaging induced errors in intracardiac 4D MRI flow quantification
Jos J.M. Westenberg1, Hans C van Assen1, Pieter J van den Boogaard1, Jelle J Goeman1, Hicham Saaid2, Jason Voorneveld3, Johan Bosch3, Sasa Kenjeres4, Tom Claessens2, Pankaj Garg5, Marc Kouwenhoven6, and Hildo J Lamb1

1Leiden University Medical Center, Leiden, Netherlands, 2Ghent University, Ghent, Belgium, 3Erasmus Medical Center, Rotterdam, Netherlands, 4University of Technology Delft, Delft, Netherlands, 5Norwich University Hospital, Norwich, United Kingdom, 6Philips Healthcare, Best, Netherlands

Echo Planar Imaging (EPI) is associated with inaccurate velocity quantitation in 4D flow MRI. The systematic errors depend on the orientation of readout and blip phase encoding gradient with respect to the flow direction. This study evaluates EPI-related errors in flow rate and velocity quantitation for in vivo intracardiac 4D flow MRI in a phantom and in ten healthy volunteers. Errors in median flow rate and velocity remain below 10% for normal in vivo intracardiac flow with EPI factor 5. The error is smallest when readout and blip phase encoding gradients are both perpendicular to the main flow.

2089
Playing with FIRE: a framework for on-scanner, in-line fully automated 4D-Flow MRI reconstruction, pre-processing and flow visualization
Justin Baraboo1, Michael Scott1, Haben Berhane1, Ashitha Pathrose1, Michael Markl1, Ning Jin2, and Kelvin Chow1,2

1Northwestern, Chicago, IL, United States, 2Cardiovascular MR R&D, Siemens, Chicago, IL, United States

4D-Flow MRI is a valuable technique for quantifying cardiovascular hemodynamics in the aorta; however, it suffers from manual off-line post processing. To address this, we integrated our custom deep learning tools for automatic 4D-Flow processing within the on-scanner reconstruction environment through Siemen’s Framework for Image Reconstruction (FIRE) interface. We retrospectively reconstructed raw data from 10 patients with aortic dilation, valve repair and/or aneurysm as well as one, prospectively recruited, control on scanner. Our deep learning tools ran successfully, and an aortic velocity maximum intensity projection cine was generated and sent to the scanner’s console alongside the reconstructed 4D-flow.

2090
Regurgitant Mitral Valve Jet Flow Dynamics: Systematic Assessment of Flow Entrainment and Momentum Conservation by In-vitro 4D flow MRI
Jeesoo Lee1, Liliana Ma1, Michael Baran Scott1, Alexander Jonathan Barker2, James David Thomas3, and Michael Markl1

1Radiology, Northwestern University, Chicago, IL, United States, 2Radiology, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, United States, 3Cardiology, Northwestern University, Chicago, IL, United States

4D flow MRI can measure the full 3D mitral regurgitant jet velocity field allowing for direct characterization of jet flow dynamics. We performed in vitro investigation of two fluid dynamic phenomena known as flow entrainment and axial momentum conservation for MR-mimicking pulsatile flow jet using 4D flow MRI. The impact of spatial resolution on the characterization accuracy was also systematically assessed. The results revealed that 1) jet flow volume may not be equivalent to regurgitant flow volume and 2) axial momentum could reliably characterize MR jet by avoiding partial volume effect close to the orifice.

2091
A Pulse Wave Velocity Calculation Tool for 4D flow MRI – Data Requirements and Application in Marfan Patients
Eric Schrauben1, Mitzi van Andel2, Lukas Gottwald1, Aart Nederveen1, Maarten Groenink1,2, and Pim van Ooij1

1Department of Radiology & Nuclear Medicine, Amsterdam University Medical Centers, location AMC, Amsterdam, Netherlands, 2Department of Cardiology, Amsterdam University Medical Centers, location AMC, Amsterdam, Netherlands

Aortic pulse wave velocity (PWV), which can be an indicator of certain cardiovascular disease via aortic stiffness estimation, requires high temporal resolution for accurate measurements. Using compressed sensing based 4D flow MRI of the aorta,  we propose a tool for assessment of PWV. The impact of data requirements (and thereby scan time) were investigated via retrospective undersampling in a cohort of healthy volunteers. The findings were then applied to Marfan subjects to determine if the minimal data requirements effectively detect differences between patients and healthy controls.

2092
Impact of gadolinium contrast on image quality and quantitative flow assessment using conventional and compressed sensing 4D flow prototypes
Tilman Stephan Emrich1,2,3, Natalie Ring2, U. Joseph Schoepf1, Ning Jin4, Daniel Sebastian Dohle5, Fei Xiong4, Anna Lena Emrich5,6, Karl-Friedrich Kreitner2, and Akos Varga-Szemes1

1Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, United States, 2Radiology, University Medical Center Mainz, Mainz, Germany, 3DZHK, Partner-Site Rhine-Main, Mainz, Germany, 4Siemens Medical Solutions USA, Inc., Chicago, IL, United States, 5Department of Cardiothoracic Surgery, University Medical Center Mainz, Mainz, Germany, 6Department of Cardiothoracic Surgery, Medical University of South Carolina, Charleston, SC, United States

This study investigates the effect of the presence of gadolinium contrast on image quality and quantitative flow assessment using conventional and highly accelerated compressed sensing (CS) 4D flow prototypes. In our cohort of 18 healthy volunteers who underwent pre- and post-contrast 4D flow measurements using both techniques, strong to very strong agreement in quantitative flow measurements were found between pre- and post-contrast studies and between conventional and CS 4D flow measurements. SNR was significantly increased after contrast injection in both prototype measurements. Our results suggest that 4D flow acquisition provides accurate flow assessment regardless of the presence of contrast agent.

2093
Evaluating ICOSA6 4D-Flow in a Compliant Aortic Dissection Model with Large Velocity Range and Complex Flow Patterns.
Judith Zimmermann1,2, Michael Loecher1,3, Tyler Cork1,4, Kathrin Bäumler1, Alison Marsden5,6,7, Dominik Fleischmann1,7, and Daniel Ennis1,3,7

1Radiology, Stanford University, Stanford, CA, United States, 2Computer Science, Technical University of Munich, Munich, Germany, 3Radiology, Veterans Affairs Health Care System, Palo Alto, CA, United States, 4Bioengineering, Stanford University, Palo Alto, CA, United States, 5Pediatrics, Stanford University, Stanford, CA, United States, 6Bioengineering, Stanford University, Stanford, CA, United States, 7Cardiovascular Institute, Stanford University, Stanford, CA, United States

Goal: To assess flow quantitation with multi-directional (ICOSA6) high-moment 4D-flow in a compliant type-B aortic dissection model that provides complex flow and a large velocity range. An in vitro flow setup was designed to acquire prolonged 4D-flow imaging in a flow- and pressure-controlled environment. ICOSA6 4D-flow data was acquired with a highly-sampled stack-of-stars scheme, reconstructed with varying under-sampling factors (R=5-65), and compared to a four-point Cartesian-sampled 4D-flow sequence. Results showed average net flow difference within the ±5% margin for ICOSA6 data under-sampled with up to R=40. Peak velocity, however, differed greatly for all ICOSA6 data when compared to four-point Cartesian.

2094
Evaluating Pilot Tone and self-gating for retrospective cardiac binning in highly accelerated, whole heart 4D flow imaging
Aaron Pruitt1, Yingmin Liu1, Ning Jin2, Peter Speier3, Chong Chen1, Orlando Simonetti1, and Rizwan Ahmad1

1The Ohio State University, Columbus, OH, United States, 2Siemens Medical Solutions USA, Inc., Columbus, OH, United States, 3Siemens Healthcare GmbH, Erlangen, Germany

In this work, we incorporate Pilot Tone as part of our previously described highly accelerated and fully self-gated 4D flow framework to perform retrospective cardiac binning. We compare cardiac triggers derived from Pilot Tone directly with those derived from self-gating and ECG in and demonstrate agreement in aortic and pulmonary artery flow quantification between 4D flow images reconstructed us ECG-, SG-, and PT-based cardiac binning.


2095
A small-vessel MRI phantom for quantitative analysis of diffusion-weighted images: a validation study with numerical computation
Hajime Tamura1, Hideki Ota2, Tatsuo Nagasaka3, Ryuichi Mori3, Chihiro Kato1, Kohsuke Gonda1, and Kenichi Funamoto4

1Department of Medical Physics, Tohoku University, Graduate school of medicine, Sendai, Japan, 2Department of Advanced MRI Collaboration Research, Tohoku University, Graduate school of medicine, Sendai, Japan, 3Department of Radiology, Tohoku University hospital, Sendai, Japan, 4Institute of Fluid Science, Tohoku University, Sendai, Japan

We designed a 3-dimensional unicursal channel phantom to simulate small vessels and obtained diffusion-weighted images with varying infusion rate of water. The signal intensities were compared with theoretical data by numerical computation. Our model will allow for understanding the behavior of IVIM images under various flow conditions and evaluating performance of MRI platforms.

2096
Deep 2D Residual Attention U-net for Accelerated 4D Flow MRI of Aortic Valvular Flows
Ruponti Nath1, Sean Callahan1, Marcus Stoddard2, and Amir Amini1

1ECE, University of Louisville, Louisville, KY, United States, 2Department of Medicine, University of Louisville, Louisville, KY, United States

We propose a novel deep learning-based approach for accelerated 4D Flow MRI by reducing artifact in complex image domain from undersampled k-space. A deep 2D residual attention network is proposed which is trained independently for three velocity-sensitive encoding directions to learn the mapping of complex image from zero-filled  reconstruction to complex image from fully sampled k-space.  Network is trained and tested on 4D flow MRI data of aortic valvular flow in 18 human subjects. Proposed method outperforms state of the art TV regularized reconstruction method and deep learning reconstruction approach by U-net.   

2097
Patient-Specific, In-Vitro Modeling of Aortic Coarctation Using 4D Flow MRI and Particle Image Velocimetry
James Rice1, Labib Shahid1, Haben Berhane2, Joshua Robinson3, Lindsay Griffin3, Cynthia Rigsby3, Michael Markl2, and Alejandro Roldan-Alzate1

1University of Wisconsin-Madison, Madison, WI, United States, 2Northwestern University, Evanston, IL, United States, 3Lurie Children's Hospital, Chicago, IL, United States

4D flow MRI can be used to assess COA repair hemodynamics in-vivo, albeit, after surgery is performed. This study develops a modeling and validation framework for in-vitro COA hemodynamic assessment. Patient-specific in-vitro models were created representing pre- and post- repair COA aortic geometries. 4D flow was employed to assess model hemodynamics. A PIV protocol was developed to assess the validity of the 4D flow MRI results. PIV velocities qualitatively agreed with 4D flow MRI. In-vitro 4D flow MRI can be used as a predictive tool for COA that can be enhanced with PIV validation.

2098
Personalized 3D-printed compliant aortic valve phantom enhances the use of full velocity profile for trans-valvular pressure drop estimation
Joao Filipe Fernandes1, Harminder Gill1, Julio Sotelo2,3,4, Shu Wang1, Alessandro Faraci1, Cristian Montalba5, Jesus Urbina6, Ronak Rajani1, David A. Nordsletten1,7, Kawal Rhode1, Sergio Uribe6,8,9, and Pablo Lamata1

1School of Biomedical Engineering and Imaging Sciences, King’s College, London, United Kingdom, 2School of Biomedical Engineering, Universidad de Valparaiso, Valparaiso, Chile, 3Biomedical Imaging Center, Pontificia Universidad Católica de Chile, Santiago, Chile, 4Millennium Nucleus for Cardiovascular Magnetic Resonance, ANID - Millennium Science Initiative Program, Santiago, Chile, 5Biomedical Imaging Center, Pontificia Universidad Catolica de Chile, Santiago, Chile, 6Radiology Department, School of Medicine, Pontificia Universidad Catolica de Chile, Santiago, Chile, 7Departments Biomedical Engineering and Cardiac Surgery University of Michigan, Ann Arbor, MI, United States, 8Biomedical Imaging Center, Pontificia Universidad Catolica de Chile, Santiago, Chile, 9Millennium Nucleus for Cardiovascular Magnetic Resonance, Santiago, Chile

Aortic valve (AV) conditions cause extra burden to the heart and frequently lead to clinicalintervention. In the present study we set a 4D-flow-MRI framework to evaluate in-vitro personalizedcompliant 3D-printed AV. We evaluated a healthy and three diseased AV under rest to stresspulsatile flow conditions. The results obtained provide further evidence that trans-valvular non-invasive pressure drop is estimated more accurately accounting for full velocity profile, via thesimplified advective work-energy relative pressure (SAW), than accounting solely for the maximalvelocity as it is clinically stablished. Both the methodology and the findings can potentially improveclinical decision-making.

2099
Comparison of turbulent flow based on 4D flow encoding versus icosahedral flow encoding using compressed sensing
Kyoung-Jin Park1,2, Ho-Jin Ha3, Kang-Hyun Ryu4, Yang-Dong Hyun2, and Dong-Hyun Kim1

1Electrical & Electronic Engineering, Yonsei University, SEOUL, Korea, Republic of, 2Radiology (Cardiovascular Imaging), University of Ulsan College of Medicine, Asan Medical Center, SEOUL, Korea, Republic of, 3Mechanical and Biomedical Engineering, Kangwon University, Chooncheon, Kangwon-do, Korea, Republic of, 4Radiology, Stanford University, Stanford, CA, United States

Compressed sensing (CS) technique has recently been used to accelerated long acquisition time in 4D Flow. However, signal loss from turbulent flow could be problematic when CS method is applied. Signal drop may further aggravate denoising and make error in 4D Flow reconstruction. Using CS technique, we investigated the correlation between velocity error and turbulent flow, TKE estimation error for two motion encoding schemes (i.e., conventional 4D Flow vs ICOSA6).

2100
Simulation of Flowing Spins in MRI using the Lattice Boltzmann Method
Ansgar Adler1, Jost M. Kollmeier2, Nick Scholand1, Sebastian Rosenzweig1, Yong Wang3, and Martin Uecker1,4

1Institute for Diagnostic and Interventional Radiology, (UMG) University Medical Center Göttingen, Göttingen, Germany, 2Biomedical NMR, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany, 3Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany, 4DZHK (German Centre for Cardiovascular Research), Göttingen, Germany

The lattice Boltzmann method (LBM) is a versatile numerical technique for simulating complex fluid dynamical systems and beyond. Here, we first describe an extension of the LBM to flow systems in external magnetic fields. The model is verified numerically with several benchmarks and shown to correctly predict signal changes caused by in-flow effects in a simple flow experiment.

2101
High resolution of 4D flow MRI with joint 4D flow simulation to optimize magnetic resonance navigation of microrobots at the bifurcation.
Cyril Tous1, Ivan Dimov1, Ning Li1, Simon Lessard1, and Gilles Soulez1

1Radiology, Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, QC, Canada

4D flow MRI was used to evaluate flow patterns in 35 and 60 degree one bifurcation PVA phantoms (diameter: 4mm main branch, 3mm branches) with and without resistance in one branch. Multiple spatial resolutions were compared with ink injection and manual measurement for validation. Since computational flow models are frequently used in small vessels, 4D flow was compared with a model. Slow, turbulent flow in the outer side of the bifurcation created eddies where some microrobots get trapped. These eddies were quantitatively and qualitatively characterized with 4D flow. Spatial resolution impacts the accuracy of flow measurement at this scale.

2102
Quantitative 4D flow vessel estimation using conventional (aorta 4D flow) and whole heart 4D flow sequence.
Himanshu Singh1, S Senthil Kumaran1, and Ganesan Karthikeyan2

1Department of NMR, All India Institute of Medical Sciences, New Delhi, India, 2Department of Cardiology, All India Institute of Medical Sciences, New Delhi, India

Quantification of blood flow parameter is crucial for assessment of dynamic stability across cardiac vascular system. 4D flow provide systemic estimation of such parameter without requirement of contrast in a single acquisition. Technical limitation of 4D flow restrict dynamic estimation to either heart (LV/RV) or across large vessels due to venc differential. Estimation of large vessel (while retaining the cardiac dynamics) can be assessed accurately with flow estimation using flow velocity and pressure gradient. Choice of parameters is crucial in limited temporal frame using valve/vessel optimised sequence.


Machine Learning Applications in CV Imaging I

Machine Learning Applications in CV Imaging
 Cardiovascular

2634
Automatic segmentation of middle cerebral artery plaque based on deep learning
Shuai Shen1,2,3,4, Xiao Liu5, Zhuyuerong Li5, Tao Jiang5, Hairong Zheng1,3,4, Xin Liu1,3,4, and Na Zhang1,3,4

1Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, shenzhen, China, 2College of Software, Xinjiang University, Urumqi, China, 3Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, shenzhen, China, 4CAS key laboratory of health informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, shenzhen, China, 5Department of radiology, Beijing Chao-Yang hospital, Capital medical university, beijing, China

At present, deep learning has gradually been applied to the field of plaque segmentation. However, the existing work is mainly used for the processing of 2D images. In this study, we trained a 3D network model to automatically segment the middle cerebral artery plaques based on 3D images and compared the accuracy with 2D network model. Magnetic resonance vessel wall imaging (MR-VWI) data from 102 patients were used for training. The results showed that all quantitative accuracy indicators of V-net were higher than U-net, and experiments showed that V-net was more stable.

2635
Automated Vessel Segmentation for 2D Phase Contrast MR Using Deep Learning
Ning Jin1, Maria Monzon2, Teodora Chitiboi3, Aaron Pruitt4, Daniel Giese2, Matthew Tong5, and Orlando P Simonetti5,6,7

1Cardiovascular MR R&D, Siemens Medical Solutions USA, Inc., Cleveland, OH, United States, 2Siemens Healthcare, Erlangen, Germany, 3Siemens Medical Solutions USA, Inc, Princeton, NJ, United States, 4Biomedical Engineering, The Ohio State University, Columbus, OH, United States, 5Internal Medicine, The Ohio State University, Columbus, OH, United States, 6Davis Heart & Lung Research Institute, The Ohio State University, Columbus, OH, United States, 7Radiology, The Ohio State University, Columbus, OH, United States

Phase-contrast (PC) MRI is used to evaluate blood hemodynamics; however, it can be time consuming to process PC-MR data. In this work, we developed a fully automated segmentation algorithm for PC MR images using deep learning (DL). Automated segmentation of aorta and main pulmonary artery from PC MRI scans can be successfully achieved using the DL model.

2636
The Comparison of denoising methods for cardiac diffusion tensor imaging
Xi Xu1, Yuxin Yang1, Yuanyuan Liu1, Dong Liang1, Hairong Zheng1, and Yanjie Zhu1

1Shenzhen Institute of Advanced Technology, ShenZhen, China

We evaluate three different image denoising methods in cardiac diffusion tensor imaging (CDTI) regarding image quality and accuracy of parameter estimates with simulation and ex-vivo experiments. The local principal component analysis (LPCA) performs the best in improving image quality both in simulated and ex-vivo data, and the uncertainty of parameter estimations is reduced by all three algorithms in the ex-vivo experiment.

2637
Isovolumic Relaxation Time and e’ Metrics Evaluated by Deep-learning Analysis of Long-axis Cine: Correlations to Atrial Pressure and Fibrosis
Dana Peters1, Jérôme Lamy1, Felicia Seemann2, Einar Heiberg3, and Ricardo Gonzales1

1Yale Unversity, New Haven, CT, United States, 2National Institutes of Health, Bethesda, MD, United States, 3Lund University, Lund, Sweden

Using a deep-learning tool for tracking the left ventricular valve plane on long-axis cine, markers of diastolic dysfunction could be easily evaluated, including e-prime, a-prime (atrial kick valve velocity), s-prime, and isovolumic relaxation time (IVRT).  This analysis, performed in 23 patients with atrial fibrillation, revealed a dependence of both a-prime and IVRT  on atrial fibrosis.

2638
Comparison of Traditional fSNAP and 3D FuseUnet Based fSNAP
Chuyu Liu1, Shuo Chen1, and Rui Li1

1Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, China

By adapting 3D FuseUnet, CNN fSNAP showed better performance in lumen and IPH depiction compared with traditional fSNAP. The results suggest that deep learning can help fast SNAP scans produce high quality images, which could have great clinical utility.

2639
Deep phenotyping of individuals with arrhythmogenic cardiomyopathy-associated genetic variants using myocardial T1 and T2 mapping
Eric D Carruth1, Samuel W Fielden1, Amro Alsaid1, Brandon K Fornwalt1, and Christopher M Haggerty1

1Geisinger, Danville, PA, United States

As genomic screening initiatives expand, pre-symptomatic identification of genetic risk of disease is increasingly common. For example, Geisinger’s Genomic Screening and Counseling program has identified carriers of rare variants associated with arrhythmogenic cardiomyopathy, but most have no clinical diagnosis. We explored whether myocardial T1 or T2 maps or synthetic extracellular volume (sECV) in these patients could assist in risk stratification by identifying pre-clinical myocardial abnormalities. We compared these quantitative measures to those of controls with a normal cardiac MRI. Native T1 was significantly elevated in asymptomatic variant carriers; however, T2, post-contrast T1, and sECV values were comparable.

2640
Unsupervised Tag Removal in Cardiac Tagged MRI using Robust Variational Autoencoder
Botian Xu1 and John C. Wood1,2

1Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, United States, 2Division of Cardiology, Children's Hospital Los Angeles, Los Angeles, CA, United States

Post processing of cardiac tagged MRI has always been challenging because of poor SNR and image artifact. Inspired by unsupervised anomalies detection using variational autoencoder (VAE), we treat tags as anomalies and employ robust variational autoencoder (RVAE), using \(\beta\)-ELBO cost, which is more robust to outliers, to replace the log-likelihood optimization of a prototypical VAE, to generate tag-free results from cardiac tagged images.

2641
A comparison of spiral trajectories in a deep learning reconstruction for DENSE
Samuel Fielden1,2, Eric Carruth1, Brandon Fornwalt1,3,4, and Christopher Haggerty1,3

1Translational Data Science and Informatics, Geisinger, Danville, PA, United States, 2Medical and Health Physics, Geisinger, Danville, PA, United States, 3Heart Institute, Geisinger, Danville, PA, United States, 4Radiology, Geisinger, Danville, PA, United States

Displacement Encoding with Stimulated Echoes (DENSE) is a powerful technique that has found great utility in accurately measuring cardiac tissue displacement. However, DENSE remains time-consuming to acquire, particularly for 3-dimensionally encoded or higher resolution schemes, so methods to accelerate image acquisition are needed. Deep learning has shown promise to assist with a myriad of reconstruction problems, including DENSE. Here, we explore the reconstruction performance of a non-Cartesian Deep Cascade of Convolutional Neural Networks (DCCNN) when presented with undersampled data generated from multiple spiral trajectory designs and acceleration rates.

2642
Deep Learning for MR Vessel Wall Imaging: Automated Detection of arterial vessel wall and plaque
Wenjing Xu1,2,3,4, Xiong Yang5, Yikang Li1,3,4, Jin Fang6, Guihua Jiang6, Shuheng Zhang5, Yanqun Teng5, Xiaomin Ren5, Lele Zhao5, Jiayu Zhu5, Qiang He5, Hairong Zheng1,3,4, Xin Liu1,3,4, and Na Zhang1,3,4

1Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 2Faculty of Information Technology, Beijing University of Technology, Beijing, China, 3Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 4CAS key laboratory of health informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 5Shanghai United Imaging Healthcare Co., Ltd., Shanghai, China, 6Department of Radiology, Guangdong Second Provincial General Hospital, Guangzhou, China

The rupture of unstable or vulnerable atherosclerotic plaque is the major cause of ischemic stroke. Manual analysis of the vessel wall and plaque is labor-intensive and experience dependent. The purpose of this study is to develop an automatic method to segment the vessel wall and lumen contour for quantitative measurement. In this work, a CNN architecture for fully automated segmentation of arterial lumen and vessel wall on MR vessel wall images was developed and evaluated on ischemic stroke patients. In conclusion, we proposed a good performance automatic analysis method for the vessel wall and is important for plaque analysis.

2643
A Machine Learning Approach for Predicting cardiovascular event in HCM patient on Cardiac MRI
kankan hao1,2, yanjie zhu1,2, dong liang1,2, shihua zhao3, xin liu1,2, and hairong zheng1,2

1Paul C. Lauterbur Research Centre for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, shenzhen, China, 2University of Chinese Academy of Sciences, Beijing, China, 3Department of Magnetic Resonance Imaging, Fuwai Hospital and National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, beijing, China

Cardiac magnetic resonance(CMR) is a highly reliable measurement to assess and predict cardiovascular events. The traditional regression model need a linear assumption but it can not be guaranteed. We use a ML method to predict cardiovascular events in HCM patients. According to our result, the C statistic for the ML model (0.804 [95% CI, 0.757-0.850]) was higher than Cox regression model (0.764, [95% CI, 0.671-0.857]). With the random sample, the ROC for the ML model(0.96 in the training set, 0.83 in the test set) was higher than the regression model(0.80 in the training set, 0.79 in the test set).  

2644
Cross Validation of a Deep Learning-Based ESPIRiT Reconstruction for Accelerated 2D Phase Contrast MRI
Jack R. Warren1, Matthew J. Middione2, Julio A. Oscanoa2,3, Christopher M. Sandino4, Shreyas S. Vasanawala2, and Daniel B. Ennis2,5

1Department of Computing + Mathematical Sciences, California Institute of Technology, Pasadena, CA, United States, 2Department of Radiology, Stanford University, Stanford, CA, United States, 3Department of Bioengineering, Stanford University, Stanford, CA, United States, 4Department of Electrical Engineering, Stanford University, Stanford, CA, United States, 5Cardiovascular Institute, Stanford University, Stanford, CA, United States

Phase Contrast MRI (PC-MRI) measures the flow of blood. In order to obtain high-quality measurements, patients must hold their breath for ~20 seconds, which oftentimes can be difficult. Advances in deep learning (DL) have allowed for the reconstruction of highly undersampled MRI data. A 2D PC-MRI DL-ESPIRiT network was recently proposed to undersample the data acquisition by up to 8x without compromising clinically relevant measures of flow accuracy within ±5%. This work uses k-fold cross validation to evaluate the DL-ESPIRiT network on 2D PC-MRI data in terms of accuracy and variability for pixel velocity, peak velocity, and net flow.

2645
Deep Learning Based ESPIRiT Reconstruction for Highly Accelerated 2D Phase Contrast MRI
Julio A. Oscanoa1,2, Matthew J. Middione2, Christopher M. Sandino3, Shreyas S. Vasanawala2, and Daniel B. Ennis2,4

1Department of Bioengineering, Stanford University, Stanford, CA, United States, 2Department of Radiology, Stanford University, Stanford, CA, United States, 3Department of Electrical Engineering, Stanford University, Stanford, CA, United States, 4Cardiovascular Institute, Stanford University, Stanford, CA, United States

We propose a novel Deep Learning (DL) based reconstruction framework for accelerated 2D Phase Contrast MRI (PC-MRI) datasets. We extend a previously developed DL method based on ESPIRiT reconstruction for cardiac cine and combine it with a direct Complex Difference estimation approach. We tested the DL methods using retrospectively undersampled 2D PC-MRI data and compared it with conventional Compressed Sensing (CS) reconstruction. Our method outperformed CS and enabled higher acceleration factors up to 8x while maintaining error metrics within a targeted accuracy of ±5%.

2646
Exercise Effect in Human Brain Evaluated by 3D SWI Depiction of Lenticulostriate Artery with Denoising Deep Learning Reconstruction and 3D pCASL.
Vadim Malis1, Won Bae1, Asako Yamamoto1, Yoshimori Kassai2, Marin A McDonald1, and Mitsue Miyazaki1

1Radiology, UC San Diego, San Diego, CA, United States, 2Canon Medical, Tochigi, Japan

This study demonstrated that a mild exercise increases length and depiction of discernible lenticulostriate artery branches in 3D susceptibility weighted imaging, facilitated by applying denoising deep learning reconstruction (dDLR), and post-processed using vascular structure extraction algorithm (VSEA). Additionally, exercise increased intracranial perfusion, determined using 3D pCASL.

2647
Deep Learning based Automatic Multi-Regional Segmentation of the Aorta form 4D Flow MRI
Haben Berhane1, Michael Scott1, Justin Baraboo1, Cynthia Rigsby2, Joshua Robinson2, Bradley Allen3, Chris Malaisrie3, Patrick McCarthy3, Ryan Avery3, and Michael Markl1

1Biomedical Engineering, Northwestern University, Chicago, IL, United States, 2Lurie Childrens Hospital of Chicago, Chicago, IL, United States, 3Northwestern Radiology, Evanston, IL, United States

While 4D flow MRI is capable of providing extensive hemodynamic quantifications, it requires cumbersome and time-consuming pre-processing. In order to accelerate the process, we developed and validated a multi-label convolutional neural network (CNN) for automatic aortic 3D segmentation and regional-labeling (ascending, AAo; arch; and descending aorta, DAo). Utilizing 320 4D flow MRI datasets, we used a 10-fold cross validation for training and testing the CNN. The Dice scores across each region were AAo: 0.95 [0.93-0.98], arch: 0.90 [0.89-0.95], and DAo: 0.95 [0.94-0.98]. Across all flow metrics, Bland-Altman comparisons showed moderate to excellent agreement between the manual and automated regional segmentations.

2648
Deep-Learning epicardial fat quantification using 4-chambers Cardiac MRI segmentation, comparison with total epicardial fat volume
Pierre Daudé1, Patricia Ancel2, Sylviane Confort-gouny1, Anne Dutour2, Bénédicte Gaborit2, and Stanislas Rapacchi1

1Aix-Marseille Univ, CNRS, CRMBM, Marseille, France, 2APHM, Hôpital Universitaire Timone, Service d’Endocrinologie, Marseille, France

Evaluation of epicardial adipose tissue (EAT) burden holds potential as a biomarker for CHD diagnosis. EAT volume is challenging to assess using MRI due to its curved shape susceptible to partial volume effect. As a substitute, 4-chamber EAT surface can be reliably measured and has shown good correlation with EAT volume (r2=0.62). Two fully convolutional neural networks (FCN) were investigated for the segmentation of EAT surface on a database of 126 subjects. Promising results were obtained with DICE values of 0.71.

2649
Identification of Hemodynamic Biomarkers for Bicuspid Aortic Valve Patients using Machine Learning
Pamela Franco1,2,3, Julio Sotelo1,3,4, Lydia Dux-Santoy5, Andrea Guala5, Aroa Ruiz-Muñoz5, Arturo Evangelista5, José Rodríguez-Palomares5, and Sergio Uribe1,3,6

1Biomedical Imaging Center, School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile, 2Electrical Engineering Department, School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile, 3Millennium Nucleus for Cardiovascular Magnetic Resonance, Santiago, Chile, 4School of Biomedical Engineering, Universidad de Valparaíso, Valparaíso, Chile, 5Department of Cardiology, Hospital Universitari Vall d’Hebron, Vall d’Hebron Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain, 6Radiology Department, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile

The clinical significance and economic burden of bicuspid aortic valve (BAV) disease justify the need for improved clinical guidelines and more robust therapeutic modalities. Recent advances in medical imaging have demonstrated the existence of altered hemodynamics in these patients. To identify hemodynamic biomarkers for BAV patients, we present a machine learning method consisting of a feature selection mechanism to classify healthy volunteers and BAV patients accurately.

2650
Fast personalization of cardiac mechanical models using parametric physics informed neural networks
Stefano Buoso1, Thomas Joyce1, and Sebastian Kozerke1

1ETH Zurich, Zurich, Switzerland

We propose a parametric physics-informed neural network that can be personalized to left-ventricular anatomies from cardiac MRI data. The model combines a left-ventricular anatomical shape model derived from cardiac MRI data, and a functional model derived from synthetic cardiac deformations. The network is trained with a label-free approach using a physics-based cost-function in less than 5 minutes on a single CPU. Network inputs are endocardium pressure and myocyte activation. A complete cardiac cycle can be simulated in less than a minute. This approach is 30 times faster than the corresponding finite element simulation even when including training time.

2651
PS-VN: integrating deep learning into model-based algorithm for accelerated reconstruction of real-time cardiac MR imaging
Zhongsen Li1, Hanyu Wei1, Chuyu Liu1, Yichen Zheng1, Shuo Chen1, and Rui Li1

1Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, China

In this study, we combine classical “partial separable” model with deep-learning framework “variational network” for accelerated reconstruction of real-time cardiac MR imaging. The proposed PS-VN architecture achieves comparable reconstruction accuracy with baseline algorithm and reduce computational time to around 10 seconds for the reconstruction of over 4 thousand dynamic frames.

2652
Sensitivity of a Deep Learning Model for Multi-Sequence Cardiac Pathology Segmentation to Input Data Transformations
Markus J Ankenbrand1, Liliya Shainberg1, Michael Hock1, David Lohr1, and Laura Maria Schreiber1

1Chair of Cellular and Molecular Imaging, Comprehensive Heart Failure Center (CHFC), University Hospital Würzburg, Würzburg, Germany

Deep learning-based segmentation models play an important role in cardiac magnetic resonance imaging. While their performance is good on the training and validation data the models themselves are hard to interpret. Sensitivity analysis helps to estimate the effect of different data characteristics on segmentation performance. We demonstrate that a published model exhibits higher sensitivity to basic transformations like rotation for pathology classes than for tissue classes in general.


Machine Learning Applications in CV Imaging II

Machine Learning Applications in CV Imaging
 Cardiovascular

2653
End-to-end Motion Corrected Reconstruction using Deep Learning for Accelerated Free-breathing Cardiac MRI
Haikun Qi1, Gastao Cruz1, Thomas Kuestner1, Karl Kunze2, Radhouene Neji2, René Botnar1, and Claudia Prieto1

1School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom

A non-rigid respiratory motion-corrected reconstruction technique (non-rigid PROST) has achieved high-quality coronary MRA (CMRA). However, non-rigid PROST requires respiratory-resolved (bin) image reconstruction, bin-to-bin non-rigid registration and regularized reconstruction, leading to long computation time. In this study, we propose an end-to-end deep learning non-rigid motion-corrected reconstruction technique for highly undersampled free-breathing CMRA. It consists of a diffeomorphic motion estimation network and a motion-informed model-based deep learning reconstruction network that were trained jointly for motion-corrected undersampled reconstruction. Compared with non-rigid PROST, the proposed technique achieved better reconstruction performance in both retrospectively and prospectively 9x-accelerated CMRA, while operating orders of magnitude faster.

2654
Reduction of contrast agent dose in cardiovascular MR angiography using deep learning
Javier Montalt-Tordera1, Michael Quail1, Jennifer Anne Steeden1, and Vivek Muthurangu1

1Centre for Cardiovascular Imaging, UCL Institute of Cardiovascular Science, University College London, London, United Kingdom

Contrast-enhanced MR angiography (CE-MRA) is often used in cardiovascular MRI, but contrast agents can have adverse effects. This work proposes to use deep learning to reduce contrast dose by 80%. A deep neural network was trained to enhance low-dose images using a synthetically generated dataset and validated with both synthetic and real low-dose images. The method was assessed for image quality, diagnostic accuracy and confidence and accuracy of vessel measurements. Enhanced low-dose images were found to be comparable to reference high-dose data. Therefore, the method could enable a reduction in contrast dose for CMR.

2655
Improving automated aneurysm detection on multi-site MRA data: lessons learnt from a public machine learning challenge
Tommaso Di Noto1, Guillaume Marie1, Sebastien Tourbier1, Yasser Alemán-Gómez1,2, Oscar Esteban1, Guillaume Saliou1, Meritxell Bach Cuadra1,3, Patric Hagmann1, and Jonas Richiardi1

1Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 2Center for Psychiatric Neuroscience, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 3Medical Image Analysis Laboratory (MIAL), Centre d’Imagerie BioMédicale (CIBM), Lausanne, Switzerland

Machine learning challenges serve as a benchmark for determining state-of-the-art results in medical imaging. They provide direct comparisons between algorithms, and realistic estimates of generalization capability. By participating in the Aneurysm Detection And segMentation (ADAM) challenge, we learnt the most effective deep learning design choices to adopt when tackling automated brain aneurysm detection on multi-site data. Adjusting patch overlap ratio during inference, using a hybrid loss, resampling to uniform voxel spacing, using a 3D neural network architecture, and correcting for bias field were the most effective. We show that, when adopting these expedients, our model drastically improves detection performances. 

2656
Cardiac MRI feature tracking by deep learning from DENSE data
Yu Wang1, Sona Ghadimi1, Changyu Sun1, and Frederick H. Epstein1,2

1Biomedical Engineering, University of Virginia, Charlottesville, VA, United States, 2Radiology, University of Virginia, Charlottesville, VA, United States

As cine DENSE provides myocardial contours and intramyocardial displacement data, we investigated the use of DENSE to train deep networks to predict intramyocardial motion from contour motion. FlowNet2, an optical-flow convolutional neural network, was used as a comparator/reference, and as the starting point for a DENSE-trained network (DT-FlowNet2). Further, we added a correction network with convolution along time, resulting in a through-time-corrected DENSE-trained network (TC-DT-FlowNet2). TC-DT-FlowNet2 outperformed other methods, providing accurate intramyocardial displacements from myocardial contours. DENSE-based learning of intramyocardial displacements from contours holds promise as a new method for computing strain from the contours of standard cine MRI. 

2657
Fully Automated Myocardium Strain Analysis using Deep Learning
Xiao Chen1, Masoud Edalati2, Qi Liu2, Xingxian Shou2, Abhishek Sharma1, Mary P. Watkins3, Daniel J. Lenihan3, Linzhi Hu2, Gregory M. Lanza3, Terrence Chen1, and Shanhui Sun1

1United Imaging Intelligence, Cambridge, MA, United States, 2UIH America, Inc., Houston, TX, United States, 3Cardiology, Washington University School of Medicine, St. Louis, MO, United States

Myocardium strain measures myocardial deformation and has been demonstrated a comprehensive, sensitive and early indicator of cardiac dysfunction. Feature tracking can assess myocardium strain from cine CMR images with no special acquisitions but requires observer intervention and expertise. We propose a deep-learning-based fully-automated myocardium strain assessment system that requires zero human intervention for accurate strain assessment.

2658
Deep Learning-Based ESPIRiT Reconstruction for Accelerated 2D Phase Contrast MRI: Analysis of the Impact of Reconstruction Induced Phase Errors
Matthew J. Middione1, Julio A. Oscanoa1,2, Michael Loecher1, Christopher M. Sandino3, Shreyas S. Vasanawala1, and Daniel B. Ennis1,4

1Department of Radiology, Stanford University, Palo Alto, CA, United States, 2Department of Bioengineering, Stanford University, Palo Alto, CA, United States, 3Department of Electrical Engineering, Stanford University, Palo Alto, CA, United States, 4Cardiovascular Institute, Stanford University, Stanford, CA, United States

2D PC-MRI Compressed sensing (CS) and deep learning (DL) reconstruction techniques may introduce a reconstruction induced phase bias, distinct from eddy current-induced background phase offsets, which may impact the accuracy of flow measurements if not corrected. Herein, we analyzed this reconstruction induced phase bias to determine the maximum acceleration factor that could be used with CS and DL reconstruction frameworks for 2D PC-MRI while minimizing errors in peak velocity and total flow within ±5%.

2659
Exploring feature space of MR vessel images with limited data annotations through metric learning and episodic training
Kaiyue Tao1, Li Chen2, Niranjan Balu3, Gador Canton3, Wenjin Liu3, Thomas S. Hatsukami4, and Chun Yuan3

1University of Science and Technology of China, Hefei, China, 2Department of Electrical and Computer Engineering, University of Washington, Seattle, WA, United States, 3Department of Radiology, University of Washington, Seattle, WA, United States, 4Department of Surgery, University of Washington, Seattle, WA, United States

Popliteal vessel wall features hidden in the Osteoarthritis Initiative (OAI) dataset warrant further investigation. However, if the number of annotations is insufficient, deep learning-based feature map analysis from MRI images may overfit and fail to generate a meaningful feature space. We designed a metric learning network combined with an episodic training method to overcome the problem of limited annotations, and demonstrated its ability to learn a meaningful feature embedding. Based on our feature map, we proposed an iterative workflow and identified vessel wall images with high probability of diseases from 1974 cases.

2660
Deep learning-based reconstruction for 3D coronary MR angiography with a 3D variational neural network (3D-VNN)
Ioannis Valasakis1, Haikun Qi1, Kerstin Hammernik2, Gastao Lima da Cruz1, Daniel Rueckert2,3, Claudia Prieto1, and Rene Botnar1

1King's College London, London, United Kingdom, 2Technical University of Munich, Munich, Germany, 3Imperial College London, London, United Kingdom

3D whole-heart coronary MR angiography (CMRA) is limited by long scan times. Undersampled reconstruction approaches, such as compressed sensing or low-rank methods show promise to significantly accelerate CMRA but are computationally expensive, require careful parameter optimisation and can suffer from residual aliasing artefacts. A 2D multi-scale variational network (VNN) as recently proposed to improve image quality and significantly shorten the reconstruction time. We propose to extend the VNN reconstruction to 3D to fully capture the spatial redundancies in 3D CMRA. The 3D-VNN is compared against conventional and 3D model-based U-Net reconstruction techniques, showing promising results while shortening the reconstruction time.

2661
Generalizability and Robustness of an Automated Deep Learning System for Cardiac MRI Plane Prescription
Kevin Blansit1, Tara Retson1, Naeim Bahrami2, Phillip Young3,4, Christopher Francois3, Lewis Hahn1, Michael Horowitz1, Seth Kligerman1, and Albert Hsiao1

1UC San Diego, La Jolla, CA, United States, 2GE Healthcare, Menlo Park, CA, United States, 3Mayo Clinic, Rochester, MN, United States, 4Mayo, Rochester, MN, United States

We show that an automated system of deep convolutional neural networks can effectively prescribe double-oblique imaging planes necessary for acquisition of cardiac MRI. To examine its clinical potential, we assess its component-wise performance by comparing simulated imaging planes predicted by DCNNs against ground truth imaging planes defined by a cardiac radiologist. Performance was assessed on 280 exams including 1252 image series obtained on ten 1.5T and 3T MRI scanners from three academic institutions. We further compare imaging planes acquired by technologists at the time of original acquisition against the same ground truth as an additional external reference.

2662
Automatic multilabel segmentation of large cerebral vessels from MR angiography images using deep learning
Félix Dumais1, Marco Perez Caceres1, Noémie Arès-Bruneau2, Christian Bocti2,3,4, and Kevin Whittingstall5

1Médecine nucléaire et radiobiologie, Université de Sherbrooke, Sherbrooke, QC, Canada, 2Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, Sherbrooke, QC, Canada, 3Clinique de la Mémoire et Centre de Recherche sur le Vieillissement, CIUSSS de l’Estrie-CHUS, Sherbrooke, QC, Canada, 4Service de Neurologie, Département de Médecine, CHUS, Sherbrooke, QC, Canada, 5Radiologie diagnostique, Université de Sherbrooke, Sherbrooke, QC, Canada

The Circle of Willis (CW) is a system of arteries located at the base of the brain. Its structure is a key component in different cerebrovascular diseases, though quantifying this on MR images is meticulous and labor intensive. We developed an analysis pipeline that uses a convolutional neural network to do multilabel segmentation of the CW as viewed through TOF-MRA images. Results show that this approach can automatically locate and label the CW with the same accuracy as expert human annotators.

2663
Probing the Feasibility and Performance of Super-Resolution Head and Neck MRA Using Deep Machine Learning
Ioannis Koktzoglou1,2, Rong Huang1, William J Ankenbrandt1,2, Matthew T Walker1,2, and Robert R Edelman1,3

1Radiology, NorthShore University HealthSystem, Evanston, IL, United States, 2University of Chicago Pritzker School of Medicine, Chicago, IL, United States, 3Northwestern University Feinberg School of Medicine, Chicago, IL, United States

Deep machine learning approaches offer the potential for improved super-resolution (SR) reconstruction which could be useful in many clinical applications. Patients with suspected stroke often undergo MRI, which often includes magnetic resonance angiography (MRA) of the head and neck arteries with scan times of ≈10 to 15 minutes using standard nonenhanced methods. With the aim of shortening scan times, we evaluated the feasibility and performance of four deep neural network (DNN)-based SR reconstructions for restoring the image quality and spatial resolution of thin slab stack-of-stars quiescent interval slice-selective (QISS) head and neck MRA with degraded slice resolution.

2664
Fully automatic extraction of mitral valve annulus motion parameters on long axis CINE CMR using deep learning
Maria Monzon1,2, Seung Su Yoon1,2, Carola Fischer2, Andreas Maier1, Jens Wetzl2, and Daniel Giese2

1Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany, 2Magnetic Resonance, Siemens Healthcare GmbH, Erlangen, Germany

The analysis of mitral valve motion is known to be relevant in the diagnosis of cardiac dysfunction. Dynamic motion parameters can be extracted from Cardiac Magnetic Resonance (CMR) images. We propose two chained Convolutional Neural Networks for automatic tracking of mitral valve-annulus landmarks on time-resolved 2-chamber and 4-chamber CMR images. The first network is trained to detect the region of interest and the second to track the landmarks along the cardiac cycle. We successfully extracted several motion-related parameters with high accuracy as well as analyzed unlabeled datasets,  thereby overcoming time-consuming annotation and allowing statistical analysis over large number of datasets.

2665
Intracranial aneurysm segmentation using a deep convolutional neural network
Miaoqi Zhang1, Qingchu Jin2, Mingzhu Fu1, Hanyu Wei1, and Rui Li1

1Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, China, 2Johns Hopkins University, Baltimore, MD, United States

Intracranial aneurysms are abnormal dilations of the cerebral arteries that have a prevalence of 5-8% in the general population. In this study, we successfully segmented IAs from dual inputs (TOF-MRA and T1-VISTA) using the hyperdense net with higher accuracy than a single input. The maximum diameter measurements for IAs derived from our segmentation was consistent with the maximum diameters obtained from the criterion standard (DSA). We showed that larger aneurysms were easier to segment by the deep learning model. In the future, we will test other deep learning models on aneurysm segmentation and compare these results with the hyperdense net.

2666
AI-based Computer-Aided System for Cardiovascular Disease Evaluation (AI-CASCADE) for carotid tissue quantification
Yin Guo1, Li Chen2, Dongxiang Xu3, Rui Li4, Xihai Zhao4, Thomas S. Hatsukami5, and Chun Yuan1,3

1Bioengineering, University of Washington, Seattle, WA, United States, 2Electrical Engineering, University of Washington, Seattle, WA, United States, 3Radiology, University of Washington, Seattle, WA, United States, 4Biomedical Engineering, Tsinghua University, Beijing, China, 5Surgery, University of Washington, Seattle, WA, United States

The tissue composition of carotid atherosclerotic plaques is crucial for cardiovascular risk assessment and can be quantified with high-resolution multi-contrast MRI by expert reviewers. The purpose of this work is to develop AI-CASCADE, a fully automated solution for quantitative analysis of carotid MRI, including artery localization, vessel wall segmentation, artery registration and plaque component segmentation. Results in our preliminary study show that AI-CASCADE achieves good agreements with manual results and has great potential as an efficient and reliable clinical tool. 

2667
Myocardial T2-weighted black-blood imaging with a deep learning constrained Compressed SENSE reconstruction
KOHEI YUDA1, Takashige Yoshida1, Yuki Furukawa1, Masami Yoneyama2, Jihun Kwon2, Nobuo Kawauchi1, Johannes M. Peeters 3, and Marc Van Cauteren3

1Radiology, Tokyo Metropolitan Police Hospital, nakanoku, Japan, 2Philips Japan, Tokyo, Japan, shinagwaku, Japan, 3Philips Healthcare, Best, Netherlands, Netherlands, Netherlands

In high-resolution dual inversion recovery myocardial T2-weighted black-blood (T2W-BB) imaging, using very high acceleration factors with very high resolution can result in degradation of image quality due to insufficient noise removal. In this study, we applied the Compressed-SENSE Artificial Intelligence (CS-AI) framework to further increase the spatial resolution and reduce the scan time. The purpose of this study was to acquire high-resolution myocardial T2W-BB with reduced scan time and compare the image quality between images reconstructed with CS-AI and conventional C-SENSE. 

2668
Evaluation of a Deep Learning reconstruction framework for three-dimensional cardiac imaging
Gaspar Delso1, Marc Lebel2, Suryanarayanan Kaushik2, Graeme McKinnon2, Paz Garre3, Pere Pujol3, Daniel Lorenzatti3, José T Ortiz3, Susanna Prat3, Adelina Doltra3, Rosario J Perea3, Teresa M Caralt3, Lluis Mont3, and Marta Sitges3

1GE Healthcare, Barcelona, Spain, 2GE Healthcare, Waukesha, WI, United States, 3Hospital Clínic de Barcelona, Barcelona, Spain

In this study we evaluate a Deep Learning reconstruction framework with adjustable noise reduction on a database of clinical cases, including Delayed Myocardial Enhancement (MDE), Phase-Sensitive MDE (PSIR) and 3D Heart datasets.

2669
Automated Segmentation of the Left Atrium from 3D Late Gadolinium Enhancement Imaging using Deep Learning
Suvai Gunasekaran1, Julia Hwang1, Daming Shen1,2, Aggelos Katsaggelos1,3, Mohammed S.M. Elbaz1, Rod Passman4, and Daniel Kim1,2

1Radiology, Northwestern University, Feinberg School of Medicine, Chicago, IL, United States, 2Biomedical Engineering, Northwestern University, Evanston, IL, United States, 3Electrical and Computer Engineering, Northwestern University, Evanston, IL, United States, 4Cardiology, Northwestern University, Feinberg School of Medicine, Chicago, IL, United States

Left atrial (LA) late gadolinium enhancement (LGE) imaging is essential for detecting fibrosis in patients with atrial fibrillation. Unfortunately, slow manual segmentation of LA LGE limits its use in the clinic. The purpose of this study was to develop a fully automated segmentation method for LA LGE images with deep learning. We tested two different U-net architectures that used either 2D or 3D image inputs for training. Our results demonstrate that 3D inputs are superior to 2D, and the 3D U-Net is a promising method to explore further for clinical translation of LA LGE fibrosis quantification.

2670
Respiratory motion in DENSE MRI: Introduction of a new motion model and use of deep learning for motion correction
Mohamad Abdi1, Daniel S Weller1,2, and Frederick H Epstein1,3

1Biomedical Engineering, University of Virginia, Charlottesville, VA, United States, 2Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, United States, 3Radiology, University of Virginia, Charlottesville, VA, United States

Conventionally in MRI, respiratory motion leads to shifts of tissue position in the image domain that correspond to linear phase errors in the k-space domain. For DENSE, in addition to position shifts, respiratory motion is displacement-encoded in the stimulated echo, leading to a constant phase error in the k-space domain. We show that in segmented DENSE acquisitions, motion compensation can be applied using per-segment linear and constant phase corrections. As constant phase corrections using image-based navigators are challenging, we show that deep leaning is potentially an effective solution using simulated training data.

2671
Cardiac metabolism assessed by MR Spectroscopy to classify the diabetic and obese heart: a Random Forest and Bayesian network study
Ina Hanninger1, Eylem Levelt2,3, Jennifer J Rayner2, Christopher T Rodgers2,4, Stefan Neubauer2, Vicente Grau1, Oliver J Rider2, and Ladislav Valkovic2,5

1Oxford Institute of Biomedical Engineering, Oxford, United Kingdom, 2Radcliffe Department of Medicine, University of Oxford Centre for Clinical Magnetic Resonance Research, Oxford, United Kingdom, 3University of Leeds, Leeds, United Kingdom, 4Wolfson Brain Imaging Centre, Cambridge, United Kingdom, 5Slovak Academy of Sciences, Institute of Measurement Science, Bratislava, Slovakia

In this study, Random Forest classification was used on data from 197 subjects to discriminate between non-diabetic, diabetic, and obese patients using 31P-MRS and 1H-MRS measurements of cardiac energetics, along with MRI measures of cardiac function. Achieving 91.67%, 73.08% and 88.89% test accuracies, SHAP feature importances indicate a higher predictive impact of metabolic metrics for classifying the diabetic heart compared to global function metrics. Bayesian networks generated through structure learning of the data further suggests a potential causal association of increased visceral fat, increased LVMass resulting in decreased PCr/ATP, and increased cardiac lipid levels attributed to these disease states.

2672
Differentiation between cardiac amyloidosis and hypertrophic cardiomyopathy by texture analysis of T2-weighted CMR imaging
Shan Huang1, Yuan Li1, Ke Shi1, Yi Zhang1, Ying-kun Guo2, and Zhi-gang Yang1

1Radiology, West China Hospital, Chengdu, China, 2Radiology, West China Second University Hospital, Chengdu, China

We retrospectively included 100 cardiac amyloidosis (CA) and 217 hypertrophic cardiomyopathy (HCM) patients, aiming to elucidate the value of texture analysis (TA) in non-contrast T2-weighted CMR images of these patients. After the texture features were extracted, machine learning algorithms were used to select the optimal features. The results showed that TA was feasible and reproducible for detecting myocardial tissue alterations and differentiating CA from HCM, even in patients with similar hypertrophy. The radiomics model achieved a comparable diagnostic capacity to late gadolinium enhancement (LGE). Thus, TA might help eliminate the use of contrast agent in the diagnosis of these patients.


Towards Real-Time Cardiac MRI

Real-Time Cardiac MRI
 Cardiovascular

2870
Real-time cardiac MRI using spiral read-outs and a Variational Network for data-driven reconstruction
Jonas Kleineisel1, Philipp Eirich1,2, Julius F. Heidenreich1, Herbert Köstler1, Thorsten A. Bley1, and Tobias Wech1

1Department of Diagnostic and Interventional Radiology, University of Würzburg, Würzburg, Germany, 2Comprehensive Heart Failure Center Würzburg, Würzburg, Germany

Spiral sampling patterns are well suited for fast MR applications like cardiac imaging, yet additional undersampling is necessary to achieve real-time temporal resolution. To still transform these data into images of high quality, a Variational Network is presented. The proposed model uses U-Nets for regularizing a gradient descent scheme, to reconstruct dynamic image series comparable to a segmented fully sampled cine investigation. The acquisition time for an entire stack from base to apex was below one minute; the overall reconstruction time was about 6 minutes.

2871
Deep-learning cardiac MRI for quantitative assessment of ventricular volumes
Yifan Qi1, Fusheng Wang1, J. Jane Cao2, and Yulee Li2

1Computer Science, Stony Brook University, Stony Brook, NY, United States, 2St. Francis Hospital, DeMatteis Center for Cardiac Research and Education, Greenville, NY, United States

The presented work introduces a deep-learning cardiac MRI approach to quantitative assessment of ventricular volumes from raw MRI data without image reconstruction. As the information required for volumetric measurements is less than that for image reconstruction, ventricular function may be assessed with less MRI data than conventional image-based methods. This offers the potential to improve temporal resolution for quantitatively imaging cardiac function.

2872
Deep generative manifold model: a novel approach for free breathing dynamic MRI
Qing Zou1, Abdul Haseeb Ahmed1, Prashant Nagpal1, Rolf Schulte2, and Mathews Jacob1

1University of Iowa, Iowa City, IA, United States, 2GE Global Research, Munich, Germany

Cardiac disease is a frequent comorbidity and cause of death in subjects with compromised pulmonary function (e.g. COPD). High-resolution and free breathing cine imaging sequences are necessary for the evaluation of cardiac function in such subjects. Several self-gated and manifold algorithms were introduced for free-breathing MRI with good success. The main focus of this work is to further reduce the scan time of current manifold methods. We introduce a novel unsupervised deep generative manifold framework to recover free-breathing cine data from around 7seconds/slice, which will facilitate the acquisition of the whole volume in under two minutes.

2873
Free-breathing High-resolution Spiral Real-time Cardiac Cine Imaging using DEep learning-based rapid Spiral Image REconstruction (DESIRE)
Junyu Wang1, Ruixi Zhou1, and Michael Salerno1,2,3

1Biomedical Engineering, University of Virginia, Charlottesville, VA, United States, 2Medicine, University of Virginia, Charlottesville, VA, United States, 3Radiology, University of Virginia, Charlottesville, VA, United States

Cardiac real-time cine imaging is valuable for patients who cannot hold their breath or have irregular heart rhythms. Spiral acquisitions, which provide high acquisition efficiency, make high-resolution cardiac cine real-time imaging feasible. However, the reconstruction for under-sampled non-Cartesian real-time imaging is time-consuming, and hence cannot provide rapid feedback. We sought to develop a DEep learning-based rapid Spiral Image REconstruction technique (DESIRE) for spiral real-time cardiac cine imaging with free-breathing, to provide fast and high-quality image reconstruction and make rapid online reconstruction feasible. High image quality was demonstrated using the proposed technique for healthy volunteers and patients.

2874
Rapid De-aliasing of Undersampled Real-Time Phase-Contrast MRI Images using Generative Adversarial Network with Optimal Loss Terms
Huili Yang1,2, Amanda Lynn DiCarlo1,2, Daming Shen1,2, Hassan Haji-Valizadeh1,2, Michael Markl1,2, and Daniel Kim1,2

1Department of Biomedical Engineering, Northwestern University, Evanston, IL, United States, 2Department of Radiology, Northwestern University, Chicago, IL, United States

While compressed sensing is a proven method for highly accelerating cardiovascular MRI, its lengthy reconstruction time hinders clinical translation. Deep learning is a promising method to accelerate reconstruction processing. We propose a generative adversarial network (GAN) with optimal loss terms for rapid reconstruction of 28.8-fold accelerated real-time phase-contrast MRI. Our results show that GAN reconstructs images 613 times faster than compressed sensing without significant loss in peak and mean velocity measurements and image sharpness.

2875
Deep Learning Algorithms May Aid In The Evaluation Of Cine Images In Patients With Atrial Arrhythmia – A Case Series
Ria Garg1,2, Elizabeth Hillier2,3,4, Andrew Coristine2,3,5, and Matthias G. Friedrich2,3

1Cardiovascular imaging, RI-McGill University Health Center, Montreal, QC, Canada, 2Faculty of Medicine, McGill University Health Center, Montreal, QC, Canada, 3RI-McGill University Health Center, Montreal, QC, Canada, 4Faculty of Medicine, University of Alberta, Edmonton, Alberta, AB, Canada, 5MR applications and workflow, GE Healthcare, Montreal, QC, Canada

Cardiovascular magnetic resonance cine imaging is utilised to give comprehensive information on ventricular function.  Arrhythmia obstructs acquisition of these images, where the use of faster acquisition protocols with deep learning reconstruction methods may aid in solving the problem. We evaluated cine images of three patients in atrial arrhythmia, acquired using standard method; fast, variable density spatiotemporal sampling acquisition (VD kt) of one(1rr) or three(3rr) heart beats; and deep learning reconstruction of the same (DL-1rr,DL-3rr). Our results showed that undersampled techniques combined with deep-learning algorithms result in image quality improvements with no significant difference in quantitative values between all acquisition techniques.

2876
Generating Cardiac Segmentation Masks of Real-Time Images from Self-Gated MRI to Train Neural Networks
Martin Schilling1, Sebastian Rosenzweig1,2, Moritz Blumenthal1, and Martin Uecker1,2,3

1Institute for Diagnostic and Interventional Radiology, University Medical Center Göttingen, Göttingen, Germany, 2DZHK (German Centre for Cardiovascular Research), Göttingen, Germany, 3Campus Institute Data Science (CIDAS), University of Göttingen, Göttingen, Germany

Cardiac segmentation is essential for analyzing cardiac function. Manual labeling is relatively slow, so machine learning methods have been proposed to increase segmentation speed and precision. These methods typically rely on cine MR images and supervised learning. However, for real-time cardiac MRI, ground truth segmentations are difficult to obtain due to lower image quality compared to cine MRI. Here, we present a method to obtain ground truth segmentation for real-time images on the basis of self-gated MRI (SSA-FARY).

2877
Small and Large Respiratory Motions from Free-Running Cardiac Magnetic Resonance Corrected by Two Post-Processing Strategies
Ummul Afia Shammi1, Zhijian Luan2, Jia Xu3, Aws Hamid4, Joanne Cassani4, Talissa A. Altes4, Robert P. Thomen4, and Steven R Van Doren5

1Biomedical, Biological & Chemical Engineering, University of Missouri, Columbia, MO, United States, 2Institute for Data Science and Informatics, University of Missouri, Columbia, MO, United States, 3Biochemistry, University of Missouri, Columbia, MO, United States, 4Radiology, University of Missouri, Columbia, MO, United States, 5Biochemistry, Institute for Data Science, University of Missouri, Columbia, MO, United States

Two new methods of automatic, retrospective suppression of breathing motion appear to be effective for real-time cardiac MR (CMR) scans of free-breathing healthy volunteers. This may obviate the need for multiple breath-holds during CMR exams, allowing for a quicker, more comfortable experience for cardiac patients. The first method demonstrated corrects smaller breathing motions and has the advantage of correcting all cardiac cycles. The second method demonstrated successfully compensates the respiratory excursions of largest amplitude, common in short axis scans, by extracting cardiac cycles at end-inspiration or end-expiration.

2878
Blood-Focused Dynamic Inversion Times for 3D LGE Imaging: Initial Patient Demonstration
Jack Allen1,2, George Mathew1, Miriam Conway1, Sophie Jenkins1, David Firmin1,2, Jennifer Keegan1, Sonya V. Babu-Narayan1, and Peter Gatehouse1

1Cardiovascular Biomedical Research Unit, Royal Brompton and Harefield NHS Trust, London, United Kingdom, 2National Heart and Lung Institute, Imperial College London, London, United Kingdom

3D Late Gadolinium-Enhanced (LGE) imaging is used to assess scarring in patients with Atrial Fibrillation (AF). Acquiring image data during every cardiac cycle allows a reasonable total scan duration but exacerbates ghosting artefacts caused by variable heart rates, such as those of patients with AF. Dynamic Inversion Time (TI) methods improve image quality by modifying the TI for each cardiac cycle. We present the initial stage of a patient study to validate a recently-proposed blood-focused dynamic TI algorithm. No improvement was found in comparison to the original algorithm. Future comparisons will include more patients with high R-wave interval variability.

2879
Rapid Time-Resolved 4D MRA of the Brain Using Golden-Angle Radial Sparse Parallel (GRASP) MRI
Adam E. Goldman-Yassen1, Maria J. Borja2, Anna Derman2, Eytan Raz2, Duan Chen2, Siddhant Dogra2, Kai Tobias Block2, and Seena Dehkharghani2,3

1Department of Radiology, Children's Healthcare of Atlanta, Atlanta, GA, United States, 2Department of Radiology, New York University Langone Medical Center, New York, NY, United States, 3Department of Neurology, New York University Langone Medical Center, New York, NY, United States

GRASP is a fast and flexible MRI technique combining compressed sensing, parallel imaging, and golden-angle radial sampling. GRASP MRI obtained as part of routine clinical care without specific angiographic parameters can be displayed as 4D MRA images with high spatial and temporal resolution. It exhibits excellent performance and high reader confidence in dynamic angiography, using a highly flexible plug-and-play reconstruction and visualization pipeline. Further exploration of diagnostic accuracy in disease-specific applications is warranted.

2880
Optimized Density Compensation Function for Filtered Backprojection and Compressed Sensing Reconstruction in Radial k-space MRI
KyungPyo Hong1, Amanda L DiCarlo1, Aggelos K Katsaggelos1,2,3, Florian A Schiffers3, Cynthia K Rigsby1,4, Hassan Haji-Valizadeh5, and Daniel Kim1,6

1Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, United States, 2Electrical and Computer Engineering, Northwestern University, Evanston, IL, United States, 3Computer Science, Northwestern University, Evanston, IL, United States, 4Medical Imaging, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, United States, 5Internal Medicine, Cardiovascular Division, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, United States, 6Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL, United States

While conventional density compensation function(DCF) performs sufficiently well for filtered backprojection(FBP) and radial k-space MRI when the Nyquist sampling condition is met and/or evenly-spaced view angles are used, it may perform poorly when sub-sampling and/or irrational-view angles are used. We propose an optimized DCF for the aforementioned conditions by calculating the density weights based on geometric properties of radial k-space sampling in a discrete environment, regardless of scan conditions such as data sizes and view angles.  Compared with standard DCF, the optimized DCF produces higher signal-to-noise ratio(SNR) in FBP (phantom) and more accurate flow metrics in 48-fold accelerated, phase-contrast MRI.  


2881
Optimized fast strain-encoding MRI with echo-planar readout
V Emre Arpinar1, L Tugan Muftuler1, Andrew Nencka1, Kevin Koch1, and El-Sayed H Ibrahim1

1Medical College of Wisconsin, Milwaukee, WI, United States

Myocardial strain imaging by MRI showed to be an early marker of changes in regional cardiac function before global cardiac function is affected. However, conventional MRI tagging techniques has the limitations of limited spatial resolution and complicated post-processing. Strain-encoding (SENC) showed to be a valuable technique for quantifying myocardial strain with high spatial resolution and simple post-processing. In this study, we provide preliminary results of echo-planar imaging (EPI)-based fast SENC imaging along with imaging artifacts and approaches to minimize their effects. The results showed the feasibility of EPI-based SENC with improved image quality and ultrafast acquisition.

2882
3D DCE MRI of carotid plaque by dynamic T1 mapping using Single Reference Variable Flip Angle 3D Pseudo Golden Angle Stack of Stars Acquisition
Seong-Eun Kim1, J Scott McNally1, John A Roberts1, Matthew Alexander 1, Hediyeh Baradaran 1, Gerald S Treiman2, and Dennis L Parker1

1UCAIR, Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, United States, 2Department of Veterans Affairs, VASLCHCS, Salt Lake City, UT, United States

Dynamic contrast‐enhanced (DCE) MRI has been used for quantitative assessment of the neovascular architecture and perfusion properties in the carotid artery wall5. While DCE-MRI has great potential in plaque component characterization, it is presently limited by SNR, contrast, available resolution, and motion artifacts for carotid plaque application. In this work, we propose a new dynamic MRI method capable of high spatial and temporal resolution, and dynamic T1 mapping-based quantification of contrast agent concentration for the assessment of carotid intraplaque hemorrhage to overcome the barriers that prevent DCE-MRI from being the clinical standard for carotid IPH evaluation.

 


2883
Functional Segmentation and Reconstruction for High-Definition DCE MRI Exploiting Vascular Heterogeneity priors
Joon Sik Park1, Seung-Hong Choi2, Chul-Ho Sohn2, and Jaeseok Park1,3

1Biomedical Engineering, Sungkyunkwan University, Gyunggido, Korea, Republic of, 2Seoul National University Hospital, Seoul, Korea, Republic of, 3Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Gyunggido, Korea, Republic of

In this work, we propose a novel, joint functional segmentation and reconstruction directly from largely incomplete DCE measurements exploiting multi-scale vascular  heterogeneity priors to achieve high-definition whole brain DCE MRI. Experimental studies were performed in patients with brain tumor to investigate the feasibility of the proposed method in jointly visualizing vascular structures and functions from a single measurement after administering contrast agents. We demonstrated that the proposed method outperforms conventional methods in delineating angiographic structures, functional segment maps, and corresponding perfusion-permeability maps

2884
In Vivo Aortic MR Elastography in Abdominal Aortic Aneurysm Patients: A Potential Biomarker for Predicting Aneurysmal Events
Huiming Dong1,2, Brian Raterman1, Mariah Eisner3, Guy Brock3, Richard D White1, Jean Starr4, Mounir Haurani4, Michael Go4, Patrick Vaccaro4, and Arunark Kolipaka1,2

1Radiology, The Ohio State University Wexner Medical Center, Columbus, OH, United States, 2Biomedical Engineering, The Ohio State University, Columbus, OH, United States, 3Biomedical Informatics, The Ohio State University Wexner Medical Center, Columbus, OH, United States, 4Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, United States

Abdominal aortic aneurysm (AAA) can result in life-threatening rupture. AAA diameter remains the only clinically useful parameter to predict growth and rupture risk. However, some high-risk AAAs can be overlooked due to their small diameters. AAA stiffness is associated with its extracellular matrix remodeling and thus potentially provides more relevant rupture prediction. Therefore, this study aims to estimate AAA stiffness using aortic MRE in patients with and without aneurysmal events. This is the first study to demonstrate that AAA stiffness and AAA/remote normal (AAA/RN) stiffness ratio are significantly lower in patients with aneurysmal events.

2885
Deep Artifact Suppression For Real Time Phase Contrast Cardiac Magnetic Resonance imaging.
Olivier Jaubert1,2, Grzegorz Kowalik2, Javier Montalt-Tordera2, Simon Arridge1, Jennifer Steeden2, and Vivek Muthurangu2

1Department of Computer Science, UCL, London, United Kingdom, 2Centre for Cardiovascular Imaging, UCL, London, United Kingdom

Real-time spiral phase contrast MR is practical for free-breathing assessment of flow. However, for sufficient spatial and temporal resolutions it requires high acceleration rates leading to long reconstruction times. Here we propose to train a 3D U-Net with complex convolutions to accurately reconstruct phase data and flow curves from highly undersampled data. Prospectively acquired in-vivo data were reconstructed with similar image quality but ~4.6x faster than compressed sensing reconstructions which could improve workflow.

2886
Feasibility of high resolution low-field MRI of balloon angioplasty in ex vivo porcine arteries with realistic blood flow
Eline Huizing1, Richte C.L. Schuurmann2, Frank F.J. Simonis3, Çağdaş Ünlü1, Henri G.D. Leuvenink4, and Jean-Paul P.M. de Vries2

1Department of Surgery, Northwest Clinics, Alkmaar, Netherlands, 2Department of Surgery, University Medical Center Groningen, Groningen, Netherlands, 3University of Twente, Enschede, Netherlands, 4Surgical Research Laboratory, University Medical Center Groningen, Groningen, Netherlands

Optimal treatment parameters of balloon angioplasty for revascularization such as inflation time and pressure are subject to debate. Limited data exists because accurate assessment of vascular function is challenging and therefore the influence procedure parameters have on arterial wall damage is largely unknown. This study shows that portable MRI at 0.125x0.125x2 mm³ resolution can be used for assessment of diameter and wall thickness during balloon angioplasty in ex vivo porcine arteries. Even after deflation and removal of the balloon the arterial diameter remained enlarged; this was coupled to a decrease in wall thickness.

2887
Feasibility of motion-resolved high resolution cardiac MRI using a local receiver and MR-tracking micro-coils.
Marylène Delcey1,2,3,4, Pierre Bour1,3,5, Isabelle Saniour6, Dounia El Hamrani1,3,5, Valery Ozenne1,3,5, Marie Poirier-Quinot6, and Bruno Quesson1,3,5

1IHU Liryc, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, Pessac, France, 2Univ. Bordeaux, Centre de recherche Cardio-Thoracique de Bordeaux, U1045, Pessac, France, 3INSERM, Centre de recherche Cardio-Thoracique de Bordeaux, U1045, Bordeaux, France, 4Siemens Healthcare SAS, Saint-Denis, France, 5Univ. Bordeaux, Centre de recherche Cardio-Thoracique de Bordeaux, U1045, Bordeaux, France, 6IR4M, UMR8081, Université Paris-Sud/CNRS, Université Paris-Saclay, Orsay, France

In patients presenting cardiac electrical dysfunction, sub-millimetric resolution of CMR would help improving characterisation of the arrhytmogenic substrate. Here, a local coil was placed directly near the anatomic region to image to overpass the lack of sensitivity and selectivity of current conventionnal coils and reduce the voxel size. We implemented a motion compensation method that exploits the signal of micro-coils embodied on a catheter to retrospectively sort radial k-space data prior to ESPIRIT image reconstruction. Using this approach, we present high resolution (300µm), motion-resolved, image of the heart obtained in vivo in pig.

 

 

 

 

 


2888
Realistic Simulation of Real-Time Cardiac Cine and First Pass Perfusion on High Performance 0.55T System
Ye Tian1, Nam G. Lee2, and Krishna S. Nayak1

1Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States, 2Biomedical Engineering, University of Southern California, Los Angeles, CA, United States

We present a realistic cardiac MRI simulation framework, including concomitant effects, off-resonance, realistic coil-array and noise level. The general framework is flexible to different field strengths, sequences, and different motion patterns and ischemia models can be introduced. We demonstrate three usages of the framework, in comparing artifact/noise level at different field strengths, in optimization of real-time 3D trajectories and reconstruction, and capturing myocardial perfusion deficits. Real-time 3D cine and first-pass perfusion with high-resolution whole-heart coverage were tested feasible on a high-performance 0.55T system by simulation.

2889
Accuracy of “real-time” Echo-Planar Imaging Phase Contrast MRI
Pan Liu1, Sidy Fall2, and Olivier Baledent2,3

1University of Picardie Jules Verne/CHIMERE EA 7516, Amiens, France, 2Facing Faces Institute/CHIMERE EA 7516, Amiens, France, 3Medical image processing department, University hospital Amiens, Amiens, France

Compared with CINE phase contrast MRI (CINE-PC), echo-planar imaging phase contrast (EPI-PC) can achieve real-time quantification of blood flow, with lower SNR. In this study, the pulsating model of the simulated cerebral vasculature was used to verify the accuracy of EPI-PC. The imaging time of EPI-PC was 62ms/image at 1.2*1.2mm2 spatial resolution and FOV=100*60mm2. The reconstructed EPI-PC flow curve was extracted by homemade post-processing software. After comparison with CINE-PC flow curve, it was concluded that EPI-PC can provide an average flow with less than 3% error, and its flow curve will be similar to the CINE-PC flow curve in shape.


Cardiac Structure & Function: From Macro- to Micro-

Real-Time Cardiac MRI
 Cardiovascular

2890
A fast navigator (fastNAV) for prospective respiratory motion correction in first-pass myocardial perfusion imaging
Ronald Mooiweer1, Radhouene Neji2, Sarah McElroy1, Muhummad Sohaib Nazir1, Reza Razavi1, Amedeo Chiribiri1, and Sébastien Roujol1

1School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2MR Research Collaborations, Siemens Healthcare, Frimley, United Kingdom

A fast respiratory navigator (fastNAV) was developed for dynamic contrast enhanced CMR perfusion imaging by combining spatially non-selective saturation with slice-selective tip-up and slice-selective excitation pulses. A calibration scan was developed to enable the estimation of subject-specific tracking factors. Prospective motion correction using fastNAV was applied to perfusion imaging in 10 patients under free-breathing conditions. Compared to conventional perfusion imaging, fastNAV reduced the effect of respiratory motion while no difference in image quality was observed.

2891
Optimization of a multi-dose ferumoxytol-enhanced T1 MRI protocol for estimation of fractional myocardial blood volume
Caroline Colbert1,2,3, Michael A. Thomas3,4, Ran Yan2,5, Hengjie Liu1,2, Peng Hu1,2,5, and Kim-Lien Nguyen1,2,3

1Physics and Biology in Medicine Graduate Program, UCLA David Geffen School of Medicine, Los Angeles, CA, United States, 2Department of Radiology, UCLA David Geffen School of Medicine, Los Angeles, CA, United States, 3Division of Cardiology, UCLA David Geffen School of Medicine, Los Angeles, CA, United States, 4Department of Radiology, Northwestern School of Medicine, Chicago, IL, United States, 5Department of Bioengineering, UCLA Samueli School of Engineering, Los Angeles, CA, United States

We aimed to evaluate the feasibility of an abbreviated MRI protocol for estimation of fractional myocardial blood volume (fMBV). Four normal swine were imaged with the MOLLI sequence at baseline and following seven ferumoxytol doses. We estimated fMBV using our full dataset, after application of retrospective dose under-sampling, and with the fast-exchange approximation. A four-acquisition protocol with compartmental modelling may have potential to accurately estimate fMBV in studies of myocardial perfusion.

2892
High-resolution 3T post-contrast whole-heart coronary MRA with image-based navigation: stenosis identification compared to CTA.
Lu Lin1, Jian Wang1, René M Botnar 2, Claudia Prieto2, Jing An3, Michaela Schmidt4, Christoph Forman4, Karl philipp kunze5, Zhengyu Jin1, and Yining Wang1

1Peking union medical college hospital, Beijing, China, 2School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 3Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China, 4Siemens Healthcare GmbH, Erlangen, Germany, 5Siemens Healthcare Limited, London, United Kingdom

This study sought to evaluate the clinical feasibility, image quality and diagnostic accuracy of a prototype 3T post-contrast high-resolution whole-heart coronary MR angiography (CMRA) sequence with image-navigator (iNAV) based motion correction and 100% respiratory scan efficiency integrated into clinical cardiac MR scan before LGE imaging. The results showed CMRA imaging completed on average in 5.2minutes with promising image quality. CMRA showed good inter-modality agreement compared to computed tomography angiography (CTA) and high negative predictive value (NPV), which allows effective exclusion of coronary artery disease. 

2893
Non-contrast, high spatial resolution coronary magnetic resonance angiography versus coronary computed tomography angiography
Reza Hajhosseiny1, Imran Rashid1, Aurélien Bustin1, Camila Munoz1, Gastao Cruz1, Muhummad Sohaib Nazir1, Karine Grigoryan1, Tevfik F. Ismail1, Rebecca Preston2, Radhouene Neji1,3, Karl Kunze1,3, Reza Razavi1, Amedeo Chiribiri1, Pier Giorgio Masci1, Ronak Rajani1, Claudia Prieto1, and René M. Botnar1

1School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2Department of Radiology, Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom, 3MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom

Conventional coronary magnetic resonance angiography (CMRA) is limited by long and unpredictable acquisition-times, low spatial resolution and motion related image quality degradation. To overcome these challenges, we have proposed a highly undersampled acquisition with image-based navigators and non-rigid motion correction to enable high resolution (0.9mm3) CMRA with ≈11min acquisition time. In 30 patients with suspected coronary artery disease (CAD) who also underwent a coronary computed tomography angiography (CCTA), our CMRA framework achieved excellent image quality across all coronary artery segments, with a per patient sensitivity of 100%, specificity of 68% and negative predictive value of 100% for identifying/excluding significant CAD.

2894
Improved free-breathing zoomed whole heart coronary MRA using 3D stack-of-stars radial sequence with diamond pseudo-golden angle sampling
Takashige Yoshida1, Takashige Yoshida1, Masami Yoneyama2, Jihun Kwon2, Kohei Yuda3, Yuki Furukawa3, and Nobuo Kawauchi3

1radiology, Tokyo metropolitan police hospital, Tokyo, Japan, 2Philips Japan, Tokyo, Japan, 3Tokyo metropolitan police hospital, Tokyo, Japan

One of the problems of whole heart coronary MRA is the prolongation of acquisition time, and the radial sampling technique is able to obtain the image of inconspicuous artifacts such as aliasing and motion. Furthermore, the improved sequence of 3D d-Vane is possible to adopt a self-navigator without extend scan time. Hence the small FOV whole heart coronary MRA with diamond pseudo golden angle radial sampling showed improved efficiency with maintaining the image quality.

2895
Title: 3T contrast-enhanced coronary magnetic resonance angiography in the assessment of myocardial hyperemia in acute myocarditis.
Zhiyong Chen1, Bin Sun1, Yunjing Xue1, Qing Duan1, ZhongShuai Zhang2, and Jing An3

1Radiology, Union Hospital, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou, China, 2Diagnostic imaging, Siemens Healthcare, Shanghai, China., Shanghai, China, 3Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China., Shenzhen, China

this study demonstrated the feasibility of CE-CMRA for detection of myocardial hyperemia in patients with suspected acute myocarditis. Furthermore, this approach could serve as a helpful supplementary tool to assess coronary artery significant stenosis. The results of the present study suggested that CE-CMRA may potentially improve accuracy of evaluating the original Lake Louise Criteria to identify acute myocarditis in combination with T2-STIR and LGE imaging. 

2896
Clinical impact of compressed sensing on whole-heart coronary MRI
Yang Wu1, Xiaojing Ma1, Weiwei Wang1, Feng Xiong1, Ke Yu1, Jiazheng Wang2, Peng Sun2, and Qingping gu2

1MRI department, Wuhan Asia Heart General Hospital, WuHan, China, 2philips, healthcare, Beijing, China

Diagnosis of Coronary artery disease using MRI remains a challenge due to the long scan times, limited spatial resolution, and low signal-to-noise of MRI technique. Compressed Sensing (CS) is a novel technique to accelerate the imaging and improve detection of coronary stenosis by coronary MRI. Results of this study indicate that there was no statistical difference in coronary artery image quality from the scanning with CS acceleration factors (AF) of 2, 4, 6. Since CS AF of 6 provides the shortest scan time and favorable image quality, this might be an optimal setting for clinical whole-heart coronary MRI.

2897
Breath-hold Multi-contrast 3D Dark Blood MRI of the Heart and Great Vessels with Gated Unbalanced T1 Relaxation-Enhanced Steady-State (uT1RESS)
Robert R Edelman1,2, Nondas Leloudas3, Jianing Pang4, and Ioannis Koktzoglou3,5

1Radiology, NorthShore University HealthSystem, EVANSTON, IL, United States, 2Feinberg School of Medicine, Northwestern University, Chicago, IL, United States, 3Radiology, NorthShore University HealthSystem, Evanston, IL, United States, 4Siemens Medical Solutions USA, Chicago, IL, United States, 5Pritzker School of Medicine, University of Chicago, Chicago, IL, United States

We recently described a novel class of steady-state pulse sequence called T1 Relaxation-Enhanced Steady-State (T1RESS).  The unbalanced variant, called uT1RESS, generates dark blood images without the need to apply additional preparation modules.  We sought to determine whether an electrocardiogram (ECG)-gated implementation of uT1RESS could be used to generate dark blood images for evaluation of the heart and great vessels.  A pilot study of healthy volunteers and patients undergoing cardiac MRI was approved by the hospital institutional review board.  Initial results suggest that ECG-gated uT1RESS shows promise for  volumetric multi-contrast evaluation of the heart and great vessels. 

2898
Whole heart coronary MRA using image-based 2D navigator (iNav) and conventional Nav system: comparison of image quality and scan time
Kazuo Kodaira1, Michinobu Nagao2, Masami Yoneyama3, Yasutomo Katsumata3, Takumi Ogawa1, Yutaka Hamatani1, Isao Shiina1, Yasuhiro Goto1, Mamoru Takeyama1, Isao Tanaka1, and Shuji Sakai2

1Department of Radiological Services, Tokyo Women's Medical University Hospital, tokyo, Japan, 2Department of Diagnostic imaging & Nuclear Medicine, Tokyo Women's Medical University Hospital, tokyo, Japan, 3Philips Japan, tokyo, Japan

Diaphragmatic one-dimensional navigation (NAV) is the conventional approach for CMRA respiratory motion compensation. This method has limitations such as the cumbersomeness of setting NAV and giving stresses to patients by wrapping the compression band around the chest/abdomen for minimizing respiratory artifacts. Image-based 2D navigator (iNAV) can solve this limitation because it directly corrects the translational movement of the heart in two directions (R-L and F-H) by using 2D real-time imaging. We investigate the feasibility of iNAV with loosely wrapped abdominal compression band compared to the conventional NAV approach.

2899
Reproducibility between 3D turbo spin-echo and 2D dual inversion recovery turbo spin-echo for coronary vessel wall imaging in Kawasaki disease
Koji Matsumoto1, Hajime Yokota2, Takafumi Yoda 1, Ryota Ebata3, Hiroki Mukai1, Yoshitada Masuda1, and Takashi Uno2

1Department of Radiology, Chiba University Hospital, Chiba, Japan, 2Diagnostic Radiology and Radiation Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan, 3Department of Pediatrics, Chiba University Hospital, Chiba, Japan

We performed qualitative and quantitative evaluations of cross-sectional coronary vessel wall images collected by 3D-TSE and 2D-DIR-TSE in Kawasaki disease (KD) and assessed the reproducibility of both. Coronary vessel walls were evaluated separately in aneurysmal and normal regions. 3D-TSE was comparable to 2D-DIR-TSE in visual assessment and has reproducibility of 3D of lumen area (LA), wall area (WA), normalized wall index (NWI = WA / (LA + WA) ), and lumen-cardiac wall contrast measurements. 3D-TSE coronary vessel wall imaging can collect wide FOV and accurate cross-sectional images, and is feasible for following up the coronary arteries of KD.

2900
Rapid Personalisation of Left Ventricular Meshes using Differentiable Rendering
Thomas Joyce1, Stefano Buoso1, Christian T Stoeck1, and Sebastian Kozerke1

1University and ETH Zurich, Zurich, Switzerland

We present a novel method for volumetric left ventricle mesh personalisation from cardiac MR images. The proposed method does not require any ground-truth mesh training data. Additionally, it corrects for slice misalignment and can propagate these correction back to the original image data. The method is expressive enough to capture diverse morphology, and is also differentiable, allowing for direct inclusion in deep-learning pipelines. We demonstrate that our mesh personalisation approach works robustly on both healthy and pathological anatomy.

2901
Single-shot compressed sensing versus segmented cine cardiac magnetic resonance in assessing left atrial volume and strain
yang chen1, Pan pan Xu1, Xiao yue Zhou2, Yi Xu1, and Xiao mei Zhu1

1the First Affiliated Hospital of Nanjing Medical University, Nanjing, China, 2Siemens Healthineers Ltd, Shanghai, China

Left atrial (LA) size is a useful measurement in predicting adverse cardiovascular outcomes. The current study compared LA volume accuracy and strain analysis between conventional segmented cine cardiac magnetic resonance (CMR) and single-shot compressed sensing (CS) cine CMR in 31 and 30 patients with and without left ventricular (LV) diastolic dysfunction, respectively. In both techniques, LA passive ejection fraction and passive radial and longitudinal strain showed diagnostic efficacy for LV diastolic dysfunction, and volume accuracies were not significantly different between techniques. CS cine CMR can reliably assess LA volume and strain in patients who are at risk for cardiovascular diseases.  

2902 Global circumferential strain based on cardiac magnetic resonance is associated with ventricular arrhythmias in hypertrophic cardiomyopathy
Cailing Pu1, Jingle Fei1, Yan Wu1, Chengbin He1, and Hongjie Hu1

1Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China

Myocardial strain parameters detected by tissue tracking on cardiac magnetic resonance (CMR-TT) were helpful for early prediction of myocardial damage in patients with hypertrophic cardiomyopathy (HCM). Global circumferential strain (GCS) and late gadolinium enhancement (LGE) percentage were reliable and independent predictors for ventricular arrhythmias (VAs) in HCM. For patients who can’t undergo the LGE scan, reduced GCS may have potential value to identify HCM patients with the risk of VAs.

2903
Double breath-hold whole heart cine cardiac MR imaging using a new 72-channel local receive array
Hugo Klarenberg1, Mark Gosselink2, Martijn Froeling2, Tim Leiner2, Aart J. Nederveen3, Adrianus J. Bakermans3, Hildo J. Lamb4, S. Matthijs Boekholdt5, and Gustav J. Strijkers1

1Biomedical Engineering & Physics, Amsterdam UMC, Amsterdam, Netherlands, 2Radiology, University Medical Center Utrecht, Utrecht, Netherlands, 3Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, Netherlands, 4Radiology, Leiden University Medical Center, Leiden, Netherlands, 5Cardiology, Amsterdam UMC, Amsterdam, Netherlands

Currently, a standard short-axis cardiac CINE protocol consists of ~7 breath-holds which is time-consuming, costly and patient-unfriendly. We investigated whether it is feasible to accurately quantify biventricular morphology and function in 3 to 2 breath-holds using a new 72‑channel receive array and (compressed-)SENSE acceleration. To that end, we performed a comparison between a 16 channel local array with a SENSE-factor 2 and the new coil with (compressed‑) SENSE factors of 2, 4 and 6. In all cases, left ventricular ejection fractions were similar with acceptable image quality decline for higher acceleration, facilitating cardiac function assessment in only 2 breath-holds.

2904
Cardiac Self-Gating for Free-Breathing Phase-Contrast MRI
Marcus Hott1,2,3, Henrik von Kleist4, Jihye Jang2,5, Andrew Powell1,2, and Mehdi Hedjazi-Moghari1,2

1Department of Pediatrics, Harvard Medical School, Boston, MA, United States, 2Department of Cardiology, Boston Children's Hospital, Boston, MA, United States, 3Department of Informatics, Technical University of Munich, Munich, Germany, 4Munich School for Data Science, Munich, Germany, 5Philips Healthcare, Gainesville, FL, United States

We implemented an end-to-end cardiac self-gating algorithm for a novel free-breathing 2D cine phase-contrast sequence on a clinical MRI scanner. We validated our technique against clinically performed ECG-gated cine phase-contrast scan. Strong agreement with no statistically significant difference was shown between the systemic and pulmonary blood flow measurements calculated between the standard ECG-gating and self-gating scans. Our approach eliminates the need for an ECG signal and allows for blood flow measurements where an ECG is not accessible such as fetal cardiac MRI.  

2905
Visualizing Human Aortic Valve Opening and Closing with Sub-Millisecond Temporal Resolution Over a Reduced Field-of-View
Zheng Zhong1,2, Qingfei Luo1, Kaibao Sun1, Guangyu Dan1,2, Muge Karaman1,2, and Xiaohong Joe Zhou1,2,3,4

1CMRR, University of Illinois at Chicago, Chicago, IL, United States, 2Bioengineering, University of Illinois at Chicago, Chicago, IL, United States, 3Neurosurgery, University of Illinois at Chicago, Chicago, IL, United States, 4Radiology, University of Illinois at Chicago, Chicago, IL, United States

An imaging technique, coined epi-based Sub-millisecond Periodic Event Encoded Dynamic Imaging, or epi-SPEEDI, has been shown capable of visualizing the rapid opening and closing of human aortic valve with sub-millisecond temporal resolution. However, the acquisition time of epi-SPEEDI was relatively long (8-10 breath holds). Herein, we report an alternative SPEEDI technique with a reduced FOV, which we call rFOV-SPEEDI, to shorten the scan times. This technique has been successfully applied to visualization of human aortic valve opening and closing with a temporal resolution of 0.6 ms, together with a scan time reduction of 32.5%.

2906
Free breathing respiratory triggered retrospectively cardiac gated (CARE-Sync) bSSFP cine imaging with radial acquisition
Isao Shiina1, Michinobu Nagao2, Masami Yoneyama3, Yasutomo Katsumata3, Yasuhiro Goto4, Kazuo Kodaira4, Takumi Ogawa4, Yutaka Hamatani1, Mamoru Takeyama4, Isao Tanaka4, and Shuji Sakai2

1Radiological Services, Tokyo Women's Medical University Hospital, tokyo, Japan, 2Department of Diagnostic Imaging and Nuclear Medicine, Tokyo Women's Medical University Hospital, Tokyo, Japan, 3Philips Electronics Japan, Tokyo, Japan, 4Department of Radiological Services, Tokyo Women's Medical University Hospital, Tokyo, Japan

we investigate the clinical usefulness of respiratory-triggered cardiac cine radial MRI. Compared with the breath-hold scan, the left ventricular function values obtained from the breath-triggered scan showed a better correlation than the conventional free-breathing scan.

2907
Precision of Mitral Valve Segmentations from Standard and Rotational Long Axis Cardiac Cine MRI
Chiara Manini1, Lennart Tautz1,2, Alireza Khasheei3, Titus Kühne1,4, Christoph Kolbitsch5, Jeanette Schulz-Menger1,4, and Anja Hennemuth1,2,4

1ICM, Charité - Universitätsmedizin Berlin, Berlin, Germany, 2Fraunhofer MEVIS, Bremen, Germany, 3Deutsches Herzzentrum Berlin, Berlin, Germany, 4German Center for Cardiovascular Research (DZHK), Partner Site Berin, Germany, 5Physikalisch-technische Bundesanstalt, Berlin, Germany

Diagnostic assessment of the mitral valve considers pathological alterations in anatomy as well as their effect on cardiac function. The goal of our work was to evaluate, whether the mitral valve anatomy could be assessed with diagnostic precision based on MRI imaging using standard (SLA) or rotational long axis (RLA) cine MRI. In a preliminary study, 6 healthy volunteers underwent imaging in a 1.5T scanner with both approaches. We generated 3D models for the quantitative assessment of the shape of the valves and achieve a higher precision based on the RLA image data.

2908
Cardiac Magnetic Resonance and hemodynamic predictors of postoperative Fontan Outcomes
Jyothsna Akam Venkata1,2, Mohamed Abdelghafar Hussein1,3, Joshua Greer1, Robert Jaquiss4, Gerald Greil1, Jeanne Dillenbeck1, Surendrenath R Veeram Reddy 1, Jenifer Hernandez1, and Tarique Hussain1

1Dept of Pediatrics, Division of Pediatric Cardiology, UT Southwestern Medical Center, Dallas, TX, United States, 2University of Mississippi Medical Center, Jackson, MS, United States, 3Kafrelsheikh University, Kafr Elsheikh, Egypt, 4Department of Pediatric Cardiothoracic Surgery, UT Southwestern Medical Center, Dallas, TX, United States

Pre-Fontan cardiac assessment with CMR in conjunction with cardiac catheterization has increasingly become the standard of care. Cardiac catheterization and CMR performed for pre-Fontan assessment at a single institution between April 2017 and June 2020 were analyzed. Our cohort consisted of 43 patients with median age of 3.7 years(range 1.8-14) at the time of CMR. Median age at Fontan operation was 4 years (2.4-14). We found significant correlation between CMR derived ventricular end diastolic, end systolic volume, ejection fraction and cardiac catheterization derived ventricular end-diastolic and mean superior vena cava pressure, and duration of post-operative hospital stay after Fontan operation. 

2909
Reliability of respiratory-triggered 2D cine kat-ARC for the assessment of biventricular function in patients with repaired tetralogy of Fallot
Makoto Orii1, Tsuyoshi Sugawara1, Hidenobu Takagi1, Martin A Janich2, Atsushi Nozaki3, and Kunihiro Yoshioka1

1Iwate Medical University, Yahaba, Japan, 2GE Healthcare, Munich, Germany, 3GE Healthcare, Tokyo, Japan

To assess the image quality, reproducibility, and accuracy of two-dimensional (2D)-cine k-adaptive-t Autocalibrating Reconstruction for Cartesian sampling (2D kat-ARC) for the quantification of biventricular volumes and function compared to 2D balanced steady state free precession (2D SSFP) in patients with repaired tetralogy of Fallot (TOF). In this study, we were able to find good reproducibility of biventricular volumes and ejection fraction (EF) between 2D SSFP and 2D kat-ARC sequences despite some drawbacks including an overestimation of right ventricular (RV) end-systolic volume and an underestimation of RV stroke volume and RVEF compared to 2D SSFP.


Cardiovascular Parameter Mapping

Quantitative Cardiovascular Tissue Characterization
 Cardiovascular

3597
T2* VERSUS NATIVE T1, T2 MAPPING IN PATIENTS WITH SUSPECTED MYOCARDIAL IRON OVERLOAD
Rosh Varghese Georgy1, Elizabeth Joseph1, Aparna Irodi1, Binita Riya Chacko1, Leena Vimala Robinson1, and Roshan Samuel Livingstone1

1Department of Radiology, Christian Medical College, Vellore, India

Parametric techniques like native T1 and T2 mapping showed a strong positive correlation with T2* in the non-invasive assessment of cardiac iron overload. T1 mapping was shown to be superior to T2 mapping in the diagnosis of cardiac iron overload. 30% of the study population had normal T2* values, but low T1 values. T1 mapping may be more sensitive in the detection of patients with early/mild cardiac iron overload, who are being missed by T2*.

3598
Free-breathing, motion-resolved myocardial T1 mapping using inversion-recovery radial FLASH and model-based reconstruction
Xiaoqing Wang1,2, Sebastian Rosenzweig1,2, Moritz Blumenthal1, Zhengguo Tan1,2, Nick Scholand1,2, and Martin Uecker1,2,3,4

1University Medical Center Göttingen, Göttingen, Germany, 2Partner Site Göttingen, German Centre for Cardiovascular Research (DZHK), Göttingen, Germany, 3Cluster of Excellence "Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells" (MBExC), University of Göttingen, Göttingen, Germany, 4Campus Institute Data Science (CIDAS), University of Göttingen, Göttingen, Germany

In this work, we develop a motion-resolved model-based reconstruction for free-breathing multi-phase myocardial T1 mapping using a free-running inversion-recovery radial FLASH sequence. Initial results on an experimental phantom and two healthy subjects have demonstrated that the proposed method could achieve motion-resolved T1 mapping at a spatial resolution of 1.33 × 1.33 × 6 mm3 with good accuracy, precision and reproducibility.

3599
ProMyoT1: Open-source Inversion recovery myocardial T1 mapping sequence for fast prototyping
Andreia S Gaspar1, Nuno A da Silva2, and Rita G Nunes1

1Institute for Systems and Robotics - Lisboa and Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal, 2Hospital da Luz Learning Health, Lisboa, Portugal

T1 mapping is a crucial technique for myocardial tissue characterization. T1-mapping MOLLI sequences are widely used in the clinic but fast prototyping for concept testing and improvements is challenging and time consuming as it requires knowledge of the vendor specific programming environment. The use of an open-source framework would enable faster sequence prototyping, and facilitate reproducibility studies of new T1 mapping techniques. The aim of this work is to develop an open-source Prototype of Myocardial T1 mapping (ProMyoT1) using Pulseq to implement an inversion recovery T1 mapping sequence based on the MOLLI inversion/triggering scheme.

3600
A novel MOLLI T1 analysis method with data matching for reduced T1 underestimation
Yuta Endo1, Haruna Shibo1, Makoto Amanuma1, Kuninori Kobayashi1, and Shigehide Kuhara1

1Faculty of Health Sciences, Kyorin University, Mitaka-shi, Tokyo, Japan

Myocardial T1 mapping using the modified Look-Locker inversion recovery (MOLLI) method shows good precision of T1 measurements, but their underestimation has long remained a problem in accurate T1 estimation. We developed a novel T1 analysis method by applying a data-matching strategy to the MOLLI method. The analysis method we propose estimates the T1 map by matching the MOLLI signals of a subject to dictionary data pixel-wise, which are the Look-Locker signals calculated in advance for various tissue parameters. The proposed method sufficiently reduces T1 underestimation of the MOLLI method and obtains more accurate T1 values.

3601
Evaluation of various image descriptor for motion correction between pre- and post-injected cardiac T1 maps, based on a demon algorithm
Habib Rebbah1, Anaîs Bernard1, Julien Rouyer1, and Timothé Boutelier1

1Research & Innovation, Olea Medical, La Ciotat, France

The registration of pre- and post-injected T1 maps is a multimodal image registration problem. To employ algorithms based on intensity preservation assumption, one need to use image descriptor. By comparing six of them, we aim to choose the most adequate one to our issue. We conducted our analyzes using a STEMI-patients database. The Sobel filter emerge as the most accurate and precise descriptor. The study of the results shows that the position of the acquired slice has no effect on the performances of the algorithm, while the size of the lesion and the cross-slice motion are inversely correlated to them

3602
Multi-Echo GRASP for Cardiac T2*-Relaxometry
Thomas Lottner1, Joannes Fischer1, Simon Reiss1, Lars Bielak1, Timo Heidt2, Ali Caglar Özen1,3, Julien Thielmann2, Constantin von zur Mühlen2, and Michael Bock1

1Department of Radiology, Medical Physics, Faculty of Medicine, University Medical Center Freiburg, University of Freiburg, Freiburg, Germany, 2University Heart Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany, 3German Consortium for Translational Cancer Research Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, Germany

Iron accumulation is a side effect from regular blood transfusions, which are a common treatment for diseases like hemochromatosis and sickle cell disease. T2* mapping can be a useful tool in therapy planning as it allows for monitoring of the iron accumulation in the heart. Multi-echo-GRASP offers a method of T2* mapping for all phases of the cardiac cycle. The acquisition can be performed in free breathing which is beneficial for patients with an impaired cardiac and/or respiratory capacity.

3603
Improvement of multi-echo gradient-spin-echo (mGraSE) myocardial T2 mapping utilizing Compressed SENSE reconstruction framework
Isao Shiina1, Michinobu Nagao2, Masami Yoneyama3, Yasuhiro Goto4, Kazuo Kodaira4, takumi ogawa4, Mamoru Takeyama4, Isao Tanaka4, and Shuji Sakai2

1Radiological Services, Tokyo Women's Medical University Hospital, tokyo, Japan, 2Department of Diagnostic Imaging and Nuclear Medicine, Tokyo Women's Medical University Hospital, Tokyo, Japan, 3Philips Electronics Japan, Tokyo, Japan, 4Department of Radiological Services, Tokyo Women's Medical University Hospital, Tokyo, Japan

Myocardial T2 mapping using a multi-echo gradient-spin-echo (mGraSE) is widely used in clinical practice for quantitatively evaluating myocardial tissue properties with single breath-hold scan, but the limited scan time during the breath-hold period often results in poor signalto-noise ratio. Compressed SENSE has recently been developed to accelerate the acquisition time. Although C-SENSE is basically applied for non-EPI scans, mGraSE can also be applied the C-SENSE reconstruction framework. mGraSE myocardial T2 mapping with C-SENSE demonstrated improved image quality with higher image uniformity entire the shot-axis myocardium compared with conventional SENSE. 

3604
Native T1 and T2 mapping cardiovascular magnetic resonance for detection of cardiac allograft vasculopathy after heart transplantation
Yurie Shirai1, Michinobu Nagao1, Noriko Kikuchi1, Atsushi Yamamoto1, Yuka Matsuo1, Risako Nakao1, Kiyoe Ando1, Eri Watanabe1, Shinichi Nunoda1, Masami Yoneyama2, and Syuji Sakai1

1Tokyo Women’s Medical University, Tokyo, Japan, 2Philips Japan, Tokyo, Japan

We investigate the diagnostic performance of native T1 and T2 mapping cardiovascular magnetic resonance imaging (CMR) for cardiac allograft vasculopathy (CAV) after heart transplantation, using myocardial flow reserve (MFR) estimated by 13N-ammonia (NH3) positron emission tomography (PET) as reference. Non-contrast native T1 mapping is a minimally invasive and effective method for monitoring CAV. In contrast, the effectiveness of T2 mapping could not be demonstrated.

3605
The suggested possibility of the T2rho contrast in the modified Look-Locker MRI technique used for the T1 quantification
Seonghwan Yee1, Lorna Browne1, and Justin Honce1

1Radiology, University of Colorado Anschutz Medical Campus, Aurora, CO, United States

The modified Look-Locker imaging (MOLLI) technique is widely used in cardiac imaging for T1 mapping. When the MOLLI technique is performed, the B1 field, perpendicular to the magnetization, is continually applied during the steady state imaging. Hence, the relaxation of the magnetization during this time may be linked to the T2rho (the T2 relaxation time constant in the rotating frame) contrast, sensitive to the iron content. Here, the theoretical background and a preliminary phantom imaging results are presented to explore the possibility of extracting T2rho contrast from the MOLLI sequence.

3606
Right ventricular T1 mapping using a novel STEAM-based approach: STEAM-SASHA
Malte Roehl1,2, Peter D Gatehouse1,2, Pedro F Ferreira1,2, Sonya V Babu-Narayan1,2, David N Firmin1,2, Dudley J Pennell1,2, Sonia Nielles-Vallespin1,2, and Andrew D Scott1,2

1National Heart and Lung Institute, Imperial College London, London, United Kingdom, 2Cardiovascular Magnetic Resonance Unit, Royal Brompton Hospital, London, United Kingdom

Here we propose a new method to reduce the influence of blood and epicardial fat on right ventricular T1 mapping. This is achieved by leveraging the excellent blood and fat suppression provided by the stimulated echo acquisition mode (STEAM) EPI sequence in a novel saturation recovery based (SASHA) single-shot T1 mapping sequence. The novel (STEAM-SASHA) approach is evaluated and compared to a standard modified Look-Locker imaging sequence in both phantom and in vivo measurements in the septum and right ventricle.

3607
Three-dimensional cardiac T1 mapping using subspace and sparsity constrained direct estimation
Thibault Marin1, Paul K. Han1, Yue Zhuo1, Yanis Djebra1,2, Fang Liu1, Georges El Fakhri1, and Chao Ma1

1Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States, 2LTCI, Telecom Paris, Institut Polytechnique de Paris, Paris, France

Cardiac T1 mapping is a powerful MR imaging technique for quantitative assessment of microstructural changes in myocardial tissues. Existing methods are limited in terms of spatial coverage and through-plane resolution due to limitations in acquisition speed and the presence of cardiac and respiratory motion. This work presents a direct reconstruction framework, which allows estimation of 3D T1 maps from sparsely sampled k-space data using physical modeling through the Bloch equation, low-rank constraints on the dynamic images and sparsity constraints on the estimated T1 maps.

3608
Altered T1 and T2 relaxation times in leg muscles are linked to hemodynamic and ambulatory parameters in patients with Peripheral Artery Disease.
Constance J Mietus1, Yue Gao1, Mariano G Uberti2, Nicholas G Lambert1, Panagiotis Koutakis3, Evlampia Papoutsi3, Jonathan R Thompson1, Holly K DeSpiegelaere4, Michael D Boska2, Sara A Myers5, George P Casale1, Iraklis I Pipinos1,4, and Balasrinivasa R Sajja2

1Department of Surgery, University of Nebraska Medical Center, Omaha, NE, United States, 2Department of Radiology, University of Nebraska Medical Center, Omaha, NE, United States, 3Department of Biology, Baylor University, Waco, TX, United States, 4Department of Surgery and VA Research Service, VA Nebraska-Western Iowa Health Care System, Omaha, NE, United States, 5Department of Biomechanics, University of Nebraska Omaha, Omaha, NE, United States

Understanding the quantitative MRI features of the myopathy of Peripheral Artery Disease (PAD) may aid in grading disease severity, treatment response, and potentially predicting favorable response to exercise or revascularization surgery.  In this study we explored the relationship between T1 and T2 relaxation times and measurements of hemodynamic and ambulatory performance in patients with PAD.  T1 relaxation time positively correlated with ankle brachial index and peak plantar flexion and inversely correlated with claudication onset time.  T2 relaxation time correlated positively with peak plantar flexion and inversely correlated with ischemic window, claudication onset time, and peak walking time.

3609
Carotid T1 mapping with Muscle Referenced B1 Mapping Correction Using Variable Flip Angle Imaging without Extra Scan
Huiyu Qiao1, Shuo Chen1, Zihan Ning1, Hualu Han1, Rui Shen1, and Xihai Zhao1

1Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine Tsinghua University, Beijing, China

Carotid T1 mapping calculated by variable flip angle imaging usually needs an additional B1 mapping to correct nominal flip angle. However, B1 mapping techniques are difficult to implement in clinical settings. This study proposed a muscle referenced B1 mapping for a more accurate carotid T1 mapping using variable flip angle imaging but without an additional B1 mapping scan. The proposed muscle referenced B1 mapping could effectively adjust the B1 inhomogeneity, particularly for the B1 inhomogeneity between left and right carotid vessel walls. Furthermore, the T1 mapping with muscle referenced B1 mapping correction showed the capability of identifying the intraplaque hemorrhage.

3610
Improving T1 mapping robustness by automatic segmentation of myocardial tissue in MOLLI series
María A Iglesias1, Daniel Lorenzatti2, José T Ortiz2, Susanna Prat2, Adelina Doltra2, Rosario J Perea2, Teresa M Caralt2, Oscar Camara1, Gaspar Delso3, and Marta Sitges2

1Universitat Pompeu Fabra, Barcelona, Spain, 2Hospital Clínic de Barcelona, Barcelona, Spain, 3GE Healthcare, Barcelona, Spain

In this study, an image processing pipeline based on Deep Learning is presented to identify myocardial tissue in MOLLI series. The main goal is to provide an automated tool to evaluate the impact of motion correction on cardiac T1 mapping.

3611
Visualization of Coronary Myocardial Chemoablation: Comparison of Ethanol and Acetic Acid
Daniel A Herzka1, Rajiv A Ramasawny1, Chris G. Bruce1, Delaney R. McGuirt1, William H. Schenke1, Jaffar M. Khan1, Adrienne E. Campbell-Washburn1,2, Aravindan A Kolandaivelu1,3, Toby A Rogers1,4, and Robert J. Lederman1

1NHLBI, Division of Intramural Research, National Institutes of Health, Bethesda, MD, United States, 2Biophysics and Biochemistry Branch, Division of Intramural Research, NHLBI, NIH, Bethesda, MD, United States, 3Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4Department of Cardiology, Medstar Washington Hospital Center, Washington, DC, United States

In this work, we visualize chemoablation lesions created by intracoronary injection as used in alcohol septal ablation for the treatment of hypertrophic obstructive cardiomyopathy. 3D native contrast and gadolinium-enhanced MRI were examined. Two chemoablation agents were used: standard ethanol and a potential alternative agent, glacial acetic acid. In swine, both 3D native contrast and gadolinium-enhanced imaging clearly delineated lesion extent acutely and up to two weeks post ablation. Acutely, chemoablation with ethanol induced a 22% increase in T1 within lesion cores and acetic acid yielded a 36% decrease.

3612
Simultaneous Multi-slice Cardiac MR Multitasking for Motion-Resolved, Non-ECG, Free-Breathing Joint T1-T2 Mapping
Xianglun Mao1, Hsu-Lei Lee1, Sen Ma1, Zhehao Hu1,2, Fei Han3, Yibin Xie1, Debiao Li1,2, and Anthony G Christodoulou1,2

1Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 2Department of Bioengineering, University of California in Los Angeles, Los Angeles, CA, United States, 3Siemens Medical Solutions Inc., Los Angeles, CA, United States

Cardiac MR Multitasking has been shown to acquire simultaneous T1 and T2 maps without ECG or breath-holds. Simultaneous multi-slice (SMS) acquisition has the potential to increase the clinical value of CMR by decreasing the exam time. In this work, we developed an SMS, non-ECG and free-breathing MR Multitasking technique and demonstrated that it had consistent T1, T2 measurements when compared with the overall-slower series of reference protocols (MOLLI, T2-prep FLASH).

3613
Myocardial tissue characterization by T2 mapping in thalassemia major
Antonella Meloni1, Nicola Martini1, Rita Laura Borrello2, Vincenzo Positano1, Laura Pistoia1, Calogera Gerardi3, Mauro Murgia4, Valentina Carrai5, Monica Benni6, Sara Gentili7, Roberto Pedrinelli2, and Alessia Pepe1

1MRI Unit, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy, 2Università degli Studi di Pisa, Pisa, Italy, 3Presidio Ospedaliero "Giovanni Paolo II" - Distretto AG2 di Sciacca, Sciacca (AG), Italy, 4Ospedale San Martino di Oristano, Oristano, Italy, 5Azienda Ospedaliero - Universitaria Careggi, Firenze, Italy, 6Policlinico S. Orsola "L. e A. Seragnoli", Bologna, Italy, 7Ospedale "San Donato", Arezzo, Italy

The T2 mapping does not offer any advantage over the T2* technique in terms of sensitivity for myocardial iron overload assessment. However, more than half of patients with thalassemia major had an increased T2 value, that may be caused by the presence of myocardial inflammation and/or edema.

3614
Self-Navigated Spiral T1 CMR Multitasking
Jingyuan Lyu1, Qi Liu1, Zhongqi Zhang2, Jian Xu1, and Weiguo Zhang1

1UIH America, Inc., Houston, TX, United States, 2United Imaging Healthcare, Shanghai, China

This abstract presents a new approach to accelerated T1 mapping of the heart under free-breathing and without ECG. Compared with traditional radial sampling trajectory, spiral sampling offers the possibility to get ride of navigator data in the framework of “multitasking”, though at an extra cost of increased susceptibility to system imperfections such as gradient delay.

3615
Clinical validation of a dedicated motion correction algorithm for cardiac MOLLI series using a quantitative metric
Gaspar Delso1, Laura Farre2, Daniel Lorenzatti3, Santi Sotes3, Adelina Doltra3, Susanna Prat3, Rosario J Perea3, Teresa M Caralt3, José T Ortiz3, and Marta Sitges3

1GE Healthcare, Barcelona, Spain, 2Universitat de Barcelona, Barcelona, Spain, 3Hospital Clínic de Barcelona, Barcelona, Spain

Cardiac T1-mapping methods often require motion correction. The contrast changes intrinsic to the inversion recovery series often used for this purpose can occasionally cause registration errors, resulting in inaccurate T1 values. It has been shown, using a large database of clinical cases, that accounting for those contrast changes markedly increases the robustness of the correction. A new metric of cardiac anatomy alignment had to be defined, in order to automate the quantitative analysis of the database. This metric was shown to correlate with the visual scoring of misalignment in MOLLI series.

3616
Evaluation of cardiac pre- and post-T1 maps registration for extracellular volume computation
Habib Rebbah1, Anaïs Bernard1, Julien Rouyer1, and Timothé Boutelier1

1Department of Research & Innovation, Olea Medical, La Ciotat, France

The myocardial ECV involves manual segmentation on pre- and post-injection T1 maps, which is a time-consuming process. An initial registration of the two maps represents a suitable solution to reduce the analyze duration. Here, we propose to compare the ECV obtained after the registration against the manual computed one using a STEMI-patients database. If the difference between the two approaches was significant, the bias remained thin (less than 1% for the remote part and 3% for the infarct part). These results and the speed of the registration (1s per slice) tip the scales in favor of its use


Cardiovascular Tissue Characterization: Beyond Relaxometry

Quantitative Cardiovascular Tissue Characterization
 Cardiovascular

3617
Time-averaged wall shear stress: a potential indicator for carotid intra-plaque hemorrhage
Rui Shen1, Huiyu Qiao1, Zihan Ning1, Dongye Li2, Dandan Yang1, and Xihai Zhao1

1Center for Biomedical Imaging Research, Tsinghua University, Beijing, China, 2Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China

We investigated the relationship between the TAWSS and presence of plaque components in histology combined with plaque burden metrics interpreted from multi-contrast MR images among patients scheduled for CEA within one week. Based on 18 patients with 60-slice histological and MR images, correlation analysis revealed that there is an association between the presence of IPH and TAWSS. In addition, our findings indicated that TAWSS can improve the performance of plaque burden metrics, MWT in predicting presence of IPH.

3618
Multidimensional Diffusion MRI in the Ex Vivo Mouse Heart
Irvin Teh1, Samo Lasič2,3, Henrik Lundell3, Beata Wereszczyńska1, Matthew Budde4, Erica Dall'Armellina1, Nadira Yuldasheva1, Filip Szczepankiewicz5,6,7, and Jürgen E. Schneider1

1Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom, 2Random Walk Imaging, Lund, Sweden, 3Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Copenhagen, Denmark, 4Department of Neurosurgery, Neurobiology, and Anatomy, Medical College of Wisconsin, Milwaukee, WI, United States, 5Clinical Sciences, Lund University, Lund, Sweden, 6Harvard Medical School, Boston, MA, United States, 7Brigham and Women's Hospital, Boston, MA, United States

Multidimensional diffusion MRI, specifically, tensor-valued encoding is a promising technique for improving specificity in microstructural measurements in the myocardium beyond that achievable with DTI. Tensor-valued encoding data combining linear and spherical tensor encoding were acquired in ex vivo mouse hearts at 7T, including an isoproterenol-induced model of hypertrophy. Covariance and gamma fitting methods were employed to reconstruct parameter maps reflecting the isotropic and anisotropic components of the diffusion signal kurtosis. The results were consistent across both methods, and highlight the potential of multidimensional diffusion MRI for improving specificity in cardiac diffusion MRI.

3619
Conventional balanced SSFP magnetic resonance images reveal patterns of clinically suspected myocarditis using texture analysis
Evin Ina Papalini1, Christian Polte2, and Kerstin Magdalena Lagerstrand1

1Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden, Gothenburg, Sweden, 2Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden, Gothenburg, Sweden

Myocarditis is a common inflammatory disease in the myocardium, associated with acute heart failure, chronic dilated cardiomyopathy and sudden cardiac death. Current clinical diagnosis is based on magnetic resonance imaging, including administration of gadolinium-based contrast agents. We propose that conventional balanced steady-state-free-precession magnetic resonance imaging images reveals quantitative diagnostic features based on texture analysis. Our results showed that the texture features, in specific Variance, Gradient Mean and Sum Average, were able to significantly separate patients with and without myocarditis using conventional balanced steady-state-free-precession magnetic resonance imaging images.

3620
Imaging of cardiac skeleton without contrast agents
Yi Li1, Jiri Mares1, and Timo Liimatainen1

1Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland

We applied Relaxation along Fictitious Field with rank n (RAFFn) to clinical 3T scanner to study RAFFn contrast between cardiac skeleton and myocardium with multiple RAFFn refocusing times i.e. pulse durations in ex vivo porcine hearts. We found the relationship between relaxation times and RAFFn pulse duration in both cardiac skeleton and myocardium. Furthermore, the optimal pulse duration to gain maximum contrast was close to 2.5 ms. RAFF2 and Tmaps demonstrated higher contrast between cardiac skeleton and myocardium tissues when compared to T1 and T.

3621
Microstructure-Based Simulation of Myocardial Diffusion Using Extended Volume Confocal Microscopy
Alexander James Wilson1, Kevin M Moulin2, Gregory B Sands3, and Daniel B Ennis2

1Radiology, Stanford University, Palo Alto, CA, United States, 2Radiology, Stanford University, Stanford, CA, United States, 3Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand

Aiming to improve noninvasive assessment of tissue microstructure, a physics-based simulation of diffusion tensor imaging (DTI) was used to compare helix angles between DTI and structure tensor (ST) analyses of a confocal myocardial image stack. Rodent myocardium was imaged using extended volume confocal microscopy producing a high-resolution image volume, which was segmented into intracellular and extracellular compartments. The image volume was divided into voxel-blocks, which served as the DTI simulation voxels. The DTI acquisition showed good agreement with both the ST and manually measured helix angles.  This proof-of-concept work demonstrates the feasibility of direct comparison of confocal images with DTI.

3622
Quantitative Susceptibility Mapping for Mitral Annulus Calcification Detection via Validation of Computed Tomography/Echocardiography
Jiahao Li1,2, Hannah Mitlak3, Lakshmi Nambiar3, Romina Tafreshi3, Jiwon Kim3, Yi Wang1,2, Jonathan W. Weinsaft3, and Pascal Spincemaille2

1Biomedical Engineering, Cornell University, Ithaca, NY, United States, 2Radiology, Weill Cornell Medicine, New York, NY, United States, 3Medicine, Weill Cornell Medicine, New York, NY, United States

Mitral annulus calcification is common in patients with mitral regurgitation and impacts prognosis and response to mitral valve interventions. While cardiac MRI is widely used to assess MR, identification of MAC is a key gap in current cardiac MRI. Quantitative susceptibility mapping is an emerging MRI tissue characterization approach that is sensitive to calcium because it is strongly diamagnetic. Here, we demonstrate the feasibility of using cardiac QSM for detecting MAC in patients using Computed Tomography and Echocardiography as reference.

3623
Microstructural CMR imaging in a longitudinal pig model of acute to chronic myocardial infarction
Christian T Stoeck1, Constantin von Deuster1, Maximilian Fuetterer1, Malgorzata Polacin1,2, Conny F Waschkies1, Robbert JH van Gorkum1, Mareike Kron3, Thea Fleischmann3, Nikola Cesarovic3,4, Miriam Weisskopf3, and Sebastian Kozerke1

1Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland, 2Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland, 3Division of Surgical Research, University Hospital Zurich, Zurich, Switzerland, 4Institute of Translational Cardiovascular Technologies, ETH Zurich, Zurich, Switzerland

In this work we compare non-contrast enhanced imaging methods such as native T1, T2 mapping and cardiac diffusion tensor imaging, to ECV measurements in a longitudinal porcine study of myocardial infarction. T2 is elevated only during the acute stage. During the transition from acute to chronic stage T1 remains unchanged and ECV as well as MD progressively increase while FA decreases. During the acute stage, T2 mapping provides highest contrast whereas diffusional metrics showed larger changes during the chronic stage compared to native relaxometry showing the potential of DTI for probing dynamic myocardial changes upon an ischemic event.

3624
Metabolic changes in coronary artery disease assessed using 1H NMR Metabolomics
Pawan Kumar1, Uma Sharma1, Rajeev Narang2, and Sujeet Mewar1

1Nuclear Magnetic Resonance and MRI Facility, All India Institute of Medical Sciences, New Delhi, India, 2Cardiology, All India Institute of Medical Sciences, New Delhi, India

Coronary artery disease (CAD) is caused by building up of plaque in the arteries of the heart, which narrows the lumen of arteries. Present study investigated the metabolic profile of blood plasma using 1H-NMR spectroscopy for distinguishing coronary artery disease (CAD) patients from healthy control (N). The results showed significant differences in the concentration of several metabolites like lactate, pyruvate, choline, acetate and alanine in the blood plasma of CAD patients in comparison to healthy controls suggesting alterations of several metabolic pathways including glycolysis, gluconeogenesis which may be related to the development of CAD.

3625
Increased SNR and improved reproducibility for cardiac 31P MRS at 7T using compartmentalized spectroscopy
Andrew Tyler1,2, Justin Y C Lau1, Jane Ellis1, Jack J Miller1,2,3, Paul A. Bottomley4, Christopher T Rodgers1,5, Damian J Tyler1,2, and Ladislav Valkovic1,6

1Oxford Centre for Clinical Cardiac Magnetic Resonance Research, University of Oxford, Oxford, United Kingdom, 2Department of Physiology, Anatomy & Genetics, University of Oxford, Oxford, United Kingdom, 3Department of Physics, University of Oxford, Oxford, United Kingdom, 4The Division of MR Research, Johns Hopkins Medicine, Baltimore, MD, United States, 5Wolfson Brain Imaging Centre, University of Cambidge, Cambridge, United Kingdom, 6Department of Imaging Methods, Institute of Measurement Science, Slovak Academy of Sciences, Bratislava, Slovakia

The intrinsically low SNR and long acquisition times of 31P spectroscopy make translation to clinical practice very challenging, even at ultra-high fields. In this study, 12 healthy volunteers were scanned twice at 7T with a short 31P CSI and reduced k-space acquisitions for reconstruction with the SLAM and SLIM algorithms. PCr/ATP ratio and PCr SNR were computed for each scan and coefficients of reproducibility and variability were calculated. Compared to a Fourier based reconstruction of the short 31P acquisition, SNR was significantly improved and PCr/ATP was maintained when SLAM and SLIM reconstructions were used.

3626
Evaluating the Myocardial Diffusion Status in Cardiac Amyloidosis: A Novel Intravoxel Incoherent Motion Diffusion-weighted MR Imaging Study
Mengdi Jiang1, Xianghua Huang2, Guifen Yang3, Weiqiang Dou4, and Yong Shen5

1Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, NanJing, China, 2National Clinical Research Center of Kidney Disease, Jinling Hospital, Medical School of Nanjing University, NanJing, China, 3Department of Nuclear Medical, Jinling Hospital, Medical School of Nanjing University, NanJing, China, 4GE Healthcare,MR Research China, BeiJing, China, 5GE Healthcare,MR Enhanced Application China, BeiJing, China

The purpose of this study was to evaluate the diagnostic value of myocardial diffusion and mechanical properties by using IVIM-DWI imaging, feature tracking and native T1 in patients with cardiac amyloidosis (CA). The relationships of strain, native T1, IVIM-derived parameters (ADCslow, ADCfast and F) and late gadolinium enhancement (LGE) were analyzed based on six mid-ventricle subregions. Significantly different IVIM related parameters were found in patients than healthy controls. Furthermore, IVIM parameters also showed significant correlation with peak strain and nativeT1. With these findings, IVIM parameters has proven as effective biomarkers in the diagnosis of cardiac microcirculation in CA patients.

3627
3D wave Cardiac Magnetic Resonance for myocardial scar tissue characterization
Quentin Lebret1,2, Pierre Bour1,2, Valéry Ozenne1,2, Nestór Pallares-Lupon1,2, Richard Walton1,2, and Bruno Quesson1,2

1IHU Liryc, Electrophysiology and Heart Modeling Institute, fondation Bordeaux Université, Pessac, France, 2Univ. Bordeaux, INSERM, Centre de recherche CardioThoracique de Bordeaux, U1045, Bordeaux, France

3D MRI of the myocardium after an ischemic attack could provide an accurate scar segmentation, much needed by the clinicians. However, this type of acquisition, usually obtained by late gadolinium enhancement (LGE), is very time consuming. We combined a wave acquisition with an inversion pulse and a variable density Poisson undersampling strategy to accelerate 3D cardiac imaging. Retrospectively subsampled images of a sheep heart were successfully reconstructed with an acceleration factor of 4, opening the path to a fast high-resolution 3D LGE acquisition.

3628
Quantification of strain analysis in coronary chronic total occlusion: A cardiovascular magnetic resonance imaging follow-up study
Lijun Zhang1, Jinfan Tian2, Xueyao Yang2, Jing An 3, Yi He4, and Xiantao Song2

1Department of Radiology, Beijing AnZhen Hospital, Capital Medical University, Beijing, China, 2Department of Cardiology, Beijing AnZhen Hospital, Capital Medical University, Beijing, China, 33Siemens Shenzhen Magnetic Resonance Ltd, Beijing, China, 4Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China

This study investigated the benefits of percutaneous coronary intervention (PCI) in patients with chronic total occlusions (CTOs) by using cardiac magnetic resonance imaging (CMR)-feature tracking (CMR-FT).The results showed the infarct size and LVEF did not increase significantly from baseline to 1 year of follow-up.However, global peak strains improved over time, and GCS showed significant treatment effect of CTO-PCI in the entire CMR population,which indicated improvement in left ventricular function.

3629
3D Whole Heart Grey-blood PSIR Slow Infusion Imaging for High-resolution Isotropic LGE Imaging
Alina Psenicny1, Reza Hajhosseiny1, Giorgia Milotta2, Karl P Kunze3, Radhouene Neji1,3, Amedeo Chiribiri1, Pier Giorgio Masci1, Claudia Prieto1, and René M Botnar1

1School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, 3MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom

A free-breathing water/fat motion corrected 3D grey blood phase sensitive inversion recovery (PSIR) late gadolinium enhancement (LGE) technique that achieves whole heart coverage and provided excellent agreement with 2D grey blood LGE MRI has been recently proposed. However, contrast washout due to the relatively long scan time of ~10 minutes may impact scar detection and limit spatial resolution. We therefore sought to investigate the feasibility of high-resolution slow infusion motion-corrected 3D grey blood PSIR-LGE in comparison with a conventional clinically used breath-held 2D grey blood PSIR-LGE MRI technique. Here we report first qualitative and quantitative results.

3630
An Off-Resonance Insensitive Orthogonal CSPAMM Sequence (ORI-O-CSPAMM)
Hernán Mella1,2,3, Hui Wang4,5, and Sergio Uribe2,3,6

1Department of Electrical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile, 2Biomedical Imaging Center, Pontificia Universidad Católica de Chile, Santiago, Chile, 3Millennium Nucleus for Cardiovascular Magnetic Resonance, ANID - Millennium Science Initiative Program, Santiago, Chile, 4Philips, Cincinnati, OH, United States, 5Department of Radiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States, 6Department of Radiology, Pontificia Universidad Católica de Chile, Santiago, Chile

We propose the Off-Resonance Insensitive Orthogonal CSPAMM sequence (ORI-O-CSPAMM). ORI-O-CSPAMM allows the acquisition of a CSPAMM grid in half of the acquisition time, removing off-resonance effects during the tagging preparation. Additionally, ORI-O-CSPAMM allows Magnitude Image CSPAMM Reconstruction (MICSR), which improves the tagging contrast through the cardiac cycle and remove spurious phases gained during the readout.

3631
Assessment of myocardial involvement characteristics by cardiac MR imaging in patients with polymyositis and dermatomyositis
Changjing Feng1, Wangyan Liu1, Xiaoxuan Sun1, Qiang Wang1, Xiaomei Zhu1, Xiaoyue Zhou2, Yi Xu1, and Yinsu Zhu1

1The First Affiliated Hospital of Nanjing Medical University, Nanjing, China, 2Siemens Healthineers Ltd., Shanghai, China

Cardiac involvement is frequently observed in polymyositis (PM) and dermatomyositis (DM) but typically remains subclinical. Cardiac MR tissue characterization parameters could serve as early detection markers for myocardial involvement in PM/DM patients without overt LV dysfunction. PM and DM patients showed a different positive segment distribution of myocardial involvement, where PM patients was more serious than that in DM patients. Above all, CMR tissue characterization parameters can detect myocardial involvement characteristics between PM and DM and compare the differences between them.

3632
Assessment of different b values in motion-controlled myocardium spin echo diffusion tensor imaging in vivo
Yuli Huang1, Xinyang Wu2, Lifei Ma2, Haipeng Dong3, and Qian Jiang2

1Philips Healthcare (Suzhou) Co., Ltd, Suzhou, China, 2Philips (China) Investment Co., Ltd., Shanghai, China, 3Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China

Diffusion MR is challenging in myocardium because of respiratory motion, cardiac pulsation, and field inhomogeneity in thorax. Diffusion tensor imaging using SE-EPI with respiratory navigation and cardiac triggering of 3 b values (300, 500, 800 s/mm2) was performed in 9 subjects. Sufficient image quality was obtained with b values of 300 and 500 s/mm2. Significant difference was found in SNR, CNR, MD, and FA between various b values while not between myocardium segments. Intermediate b values are recommended to achieve a balance of image quality and diffusion sensitivity . Sufficient myocardium quiescent duration is extremely important for optimal diffusion image quality.

3633
Early Cardiac Involvement Detected by CMR Feature Tracking in Idiopathic Inflammatory Myopathy with Preserved Ejection Fraction
Wangyan Liu1, Yinsu Zhu1, and Yi Xu1

1the first affiliated hospital of Nanjing medical university, Nanjing, China

We applied CMR-FT technique to evaluate LV and LA performance in IIM patients. The main findings were as follow: (1) compared with controls, the damaged LV strain in IIM patients mainly involved global and regional LV PS in longitudinal direction; (2) LA reservoir function and conduit function were impaired in IIM patients; (3) LA volumetric parameters and function parameters showed significant difference between IIM patients and the controls. (4) Combination of global LV longitudinal PS, LAVpre-ac index and Apical LV circumferential PS can improve diagnostic accuracy. Therefore, CMR-FT can help early diagnosis of cardiac involvement of IIM patients.

3634
A Framework to extract and visualize the myofiber helix angle locally and globally from the cardiac diffusion tensor images
Mehrzad Tartibi1, Randall Lee2, Christopher Nguyen3, Jaume Coll-Font3,4, Youngho Seo2, and Qizhi Fang2

1DelBeat Inc., Berkeley, CA, United States, 2University of California San Francisco, San Francisco, CA, United States, 3Massachusetts General Hospital, Boston, MA, United States, 4Harvard Medical School, Boston, MA, United States

The DTI measurement contains measurement noise dominantly exaggerated at the myocardium boarders. Accurate fiber orientation will improve the accuracy of mathematical modeling. It may shed light on the short-term and long-term effects of scar tissue on the myofiber's morphology locally and globally. We have developed a filter based on the three measured DTI quantities of helix angle, fractional anisotropy, and mean diffusivity. This filter's result enabled us to automatically segment the myocardium's primary structural part and remove the trabeculae and papillary muscles. Hence, found a linear correlation between the fiber helix angle and the ventricle wall thickness.

3635
Optimization of B0 Simulation Strategy in the Human Heart based on CT Images at limited Field of View
Yun Shang1, Sebastian Theilenberg1, Laura M. Schreiber2,3, and Christoph Juchem1,4

1Department of Biomedical Engineering, Columbia University, New York, NY, United States, 2Chair of Cellular and Molecular Imaging, Comprehensive Heart Failure Center, University Hospital Wuerzburg, Wuerzburg, Germany, 3Department of Cardiovascular Imaging, Comprehensive Heart Failure Center, University Hospital Wuerzburg, Wuerzburg, Germany, 4Department of Radiology, Columbia University Medical Center, New York, NY, United States

B0 simulation in the heart based on thoracic CT images is a powerful tool to investigate cardiac B0 conditions in the general population for the development of an optimized cardiac B0 shimming strategy. Thoracic CT scans typically have a limited field of view posing a challenge to the accuracy of field simulations. Here we present a systematic analysis of errors introduced by B0 computations in the human heart from CT-based susceptibility distributions of limited field of view and present strategies to resemble B0 conditions in the human heart to achieve elevated accuracy with model-based addition of selected anatomical features.

3636
A Comparison of Metal Artifacts in Cardiovascular MRI at 0.55T and 1.5T
W. Patricia Bandettini1, Christine Mancini2, Sujata M. Shanbhag2, Jennifer Lynn Henry2, Margaret M. Lowery2, Marcus Y. Chen2, and Adrienne E. Campbell-Washburn2

1NIH/NHLBI, Bethesda, MD, United States, 2NATIONAL INSTITUTES OF HEALTH/NHLBI, BETHESDA, MD, United States

Low-field MRI may offer reduced artifacts in patients with implanted metallic devices.  In this early comparison, we sought to evaluate the appearance of artifacts seen on cardiac MR at a 0.55T versus 1.5T for common cardiovascular devices, including sternal wires, valves, surgical clips, and cardiac implantable electronic devices (CIEDs). For smaller discrete implants, the artifact profile was reduced at 0.55T, as expected. Whereas, CIED generators contributed significant artifacts at both field strengths, illustrating the complex relationship with material properties, sequence details and field strength.  Overall, lower field may offer some advantage for cardiac imaging of patients with common implanted devices.