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Quantitative in vivo imaging of median and ulnar nerves using ultrashort echo time (UTE) MRI: a feasibility study

Quantitative Lung T1 and T2* Mapping with Upright 0.5T MR: investigating the effect of gravity on lung regions under low-field strength

Author:Rashed Sobhan  Olivier Mougin  Penny Gowland  

Session Type:Digital Poster  

Session Date:Tuesday, 07 May 2024  

Session Name:Lung MRI  

Program Number:2907  

Room Session:Exhibition Hall (Hall 403)  

Institution:University of Nottingham  

Quantitative MRI biomarker for classification of clinically significant prostate cancer: calibration for reproducibility across echo times

Quantitative MRI Evaluation of the Supraspinatus-Deltoid Muscle Force Couple with T2 Mapping

Quantitative MRI Measurements Record Pancreatic Cancer and Stroma Reactions to New KRAS Inhibitor

Quantitative MRI parameters of amide proton transfer and diffusion kurtosis imaging in the evaluation of breast cancer

Quantitative MRI study of skeletal muscle fat deposition in patients with type 2 diabetes

Quantitative MRI to evaluate the efficacy of immunotargeted therapy in unresectable hepatocellular carcinoma

Quantitative MRI with Automated Histogram Analysis Based on Self-Supervised Learning of Organ Segmentation: Demonstration for Liver T1 Mapping

Quantitative multi-dimensional assessment of cardiovascular system (qMACS)

Quantitative Myelin Assessment for Multiple Sclerosis Using Multi-Inversion Magnetic Resonance Fingerprinting

Quantitative Myocardial MR Perfusion: Accurate Delay Estimation through Deep-Learning based Outlier Detection

Quantitative N-Acetylaspartate and Creatine Metabolites in Cortical and Subcortical Regions in PD patients with cognitive impairment

Author:Ming Huang  Hui Yu  Xin Lv  Kai Ai  Yong Cheng  Bo Gao  

Session Type:Digital Poster  

Session Date:Thursday, 09 May 2024  

Session Name:Parkinson's Disease I  

Program Number:4191  

Room Session:Exhibition Hall (Hall 403)  

Institution:Affiliated Hospital of Guizhou Medical University  Philips Healthcare  

The quantitative parameters based on IVIM andDCE-MRI in predicting the efficacy in patients with nasopharyngeal carcinoma

Quantitative Physiologic MRI Parameters Combined with Innovative Machine Learning to Distinguish Glioblastoma from Solitary Brain Metastases

Quantitative Susceptibility Mapping and Non-contrast Spin-labeling for CSF Outflow: A Dual Biomarker Approach for Neurodegenerative disease

Quantitative Susceptibility Mapping by Controllable Diffusion Models

Author:Zhuang Xiong  Yang Gao  Hongfu Sun  

Session Type:Digital Poster  

Session Date:Tuesday, 07 May 2024  

Session Name:Acquisitions & Reconstructions Using AI II  

Program Number:2821  

Room Session:Exhibition Hall (Hall 403)  

Institution:Central South University  University of Queensland  

Quantitative susceptibility mapping for characterization of renal tissue pathology in autosomal dominant polycystic kidney disease (ADPKD)

Author:Karl Schumacher  Martin Prince  Yi Wang  Alexey Dimov  

Session Type:Digital Poster  

Session Date:Tuesday, 07 May 2024  

Session Name:Flushing Out: Kidney & Bladder II  

Program Number:2892  

Room Session:Exhibition Hall (Hall 403)  

Institution:Santa Clara University  Weill Cornell Medicine  

Quantitative susceptibility mapping in the newborn brain with source separation: Comparison of preterm and full-term infants

Author:MinJung Jang  Alexey Dimov  Shin-Eui Park  Eric Mallack  Yi Wang  Thanh Nguyen  Zungho Zun  

Session Type:Digital Poster  

Session Date:Tuesday, 07 May 2024  

Session Name:Pediatric: Neonatal Brain  

Program Number:2368  

Room Session:Exhibition Hall (Hall 403)  

Institution:Weill Cornell Medicine  

Quantitative susceptibility mapping of brain iron predicts onset of mild cognitive impairment and cognitive decline

Author:Lin Chen  Anja Soldan  Andreia Faria  Marilyn Albert  Peter Van Zijl  Xu Li  

Session Type:Digital Poster  

Session Date:Tuesday, 07 May 2024  

Session Name:Magnetic Susceptibility II  

Program Number:2462  

Room Session:Exhibition Hall (Hall 403)  

Institution:Johns Hopkins University  Kennedy Krieger Institute  

Quantitative T1rho with pulsed spinlock Using Toggling Inversion Preparation

Quantitative T2 of Long Post-Labeling-Delay (PLD) ASL Signal as a Reporter of Extravascular Microenvironment

Quantitative T2* Ferumoxytol MRI to Evaluate Activated Innate Immunity in Progressive Multiple Sclerosis

Quantitative Thyroid Volume Analysis in Healthy, Hypo and Hyperthyroid Individuals Using T2-Weighted MRI and Artificial Intelligence

Quantitative Ultrashort Echo Time Double Echo Steady State (qUTE-DESS) for T1, T2, and Diffusivity Mapping of Human Cartilage

Quantitative UTE MRI of Demyelination in mTBI Mice Subject to Open-field Low-intensity Blast Injury

Quantitative water content mapping in situ by in situ MRI: a promising forensic tool for post-mortem edema characterization

Quantitively Accurate Bipolar Quantitative Chemical Shift Encoded Imaging Using the Gradient Impulse Response Function

Author:James Wang  Diego Hernando  Ali Pirasteh  Alan McMillan  

Session Type:Digital Poster  

Session Date:Monday, 06 May 2024  

Session Name:Non-AI Image Reconstruction  

Program Number:1912  

Room Session:Exhibition Hall (Hall 403)  

Institution:UW Madison  

Quick, Quiet and Quantitative Magnetization Transfer Imaging

Author:Oliver Pinna  Tobias Wood  Gareth Barker  

Session Type:Digital Poster  

Session Date:Wednesday, 08 May 2024  

Session Name:Quantitative Neuroimaging  

Program Number:3829  

Room Session:Exhibition Hall (Hall 403)  

Institution:King's College London  

Radial xSPEN for Non-Fourier Single-Sided MRI

Radio-Frequency Energy-Induced Heating for hot spots with the same SAR averaged over 0.1 gram without perfusion

Radiomic analysis of quantitative T2-mapping and conventional MRI in predicting histologic grade of bladder cancer

Radiomic features Based on Multi-sequence MRI Predict Immunohistochemical Biomarkers of Endometrial Cancer

Radiomic Features of Placental Magnetic Resonance Imaging Identify Adverse Pregnancy Outcomes: A Pilot Study

Radiomic features of substantia nigra based on multi-echo SWI susceptibility map can distinguish PD from atypical Parkinson syndrome

Radiomic Features Outperform Clinical Metrics in Distinguishing Femoroacetabular Impingement Patients from Healthy Subjects

Radiomics Analysis Based on Preoperative Multiparametric MRI for Prediction of TACE Refractoriness in Hepatocellular Carcinoma

Radiomics Analysis of Cardiovascular Magnetic Resonance Images in Patients with Fabry Disease

Radiomics and Background Parenchymal Enhancement of Fibroglandular Tissue for Predicting Treatment Response in Triple-Negative Breast Cancer

Radiomics approach on Arterial Spin Labeling can delineate Parkinson’s disease from healthy controls.

Radiomics based on tumor and multiple body components on MRI to predict outcome in rectal Cancer

Radiomics feature based discrimination between aortic flow profiles in HFpEF and healthy controls using 2D Flow MRI

Radiomics Features of the Hippocampus Based on 3D-TIWI Improve the Diagnosis of Cerebral Small Vessel Disease with Cognitive Impairment

Radiomics Features on Magnetic Resonance Images Can Predict C5aR1 Expression Levels and Prognosis in High-Grade Glioma.

Author:Zijun Wu  Yuan Yang  Yunfei Zha  

Session Type:Digital Poster  

Session Date:Wednesday, 08 May 2024  

Session Name:AI in Brain Tumor Prediction  

Program Number:3780  

Room Session:Exhibition Hall (Hall 403)  

Institution:Renmin Hospital of Wuhan University