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CSF Flow and Aging: An Early Marker of Pathology?

Author:Arun Venkataraman  Rashid Deane  Jianhui Zhong  

Institution:University of Rochester  University of Rochester Medical Center  

Session Type:Digital Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:09:15  

Session Name:Flow in the Brain  

Program Number:2549  

Presentation Time:09:15   

Room Number:Exhibition Hall  

Computer Number:Computer 76  

DANTE Prepared EPI for Fast Whole Brain VASO Detection at 3T

Author:Linqing Li  Laurentius Huber  Yuhui Chai  Sean Marrett  Peter Bandettini  

Institution:National Institutes of Health  

Session Type:Oral  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:fMRI Acquisition Methods  

Program Number:1174  

Presentation Time:15:33   

Room Number:Room 520A-F  

Computer Number:

DANTE-SPACE-based imaging of the brachial plexus

DAS-Net: A Generative Adversarial Net to Suppress Artifact-Generating Echoes in DENSE MRI

Author:Mohammad Abdishektaei  Xue Feng  Craig Meyer  Frederick Epstein  

Institution:University of Virginia  

Session Type:Oral  

Session Date:Thursday, 16 May 2019  

Session Time:08:15  

Session Name:Myocardial Function & Deformation  

Program Number:1089  

Presentation Time:10:03   

Room Number:Room 518A-C  

Computer Number:

Data Consistency Networks for (Calibration-less) Accelerated Parallel MR Image Reconstruction

Author:Jo Schlemper  Jinming Duan  Cheng Ouyang  Chen Qin  Jose Caballero  Joseph Hajnal  Daniel Rueckert  

Institution:Imperial College London  King's College London  King's College London  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:09:15  

Session Name:Machine Learning for Image Reconstruction: A New Frontier  

Program Number:4663  

Presentation Time:09:15   

Room Number:Exhibition Hall  

Computer Number:Computer 120  

Data-Driven Spectral Feature Extraction in 9.4T CEST MRI data of the human brain

Author:Mark Schuppert  Anagha Deshmane  Kai Herz  Klaus Scheffler  Moritz Zaiss  

Institution:Max Planck Institute for Biological Cybernetics  

Session Type:Digital Poster  

Session Date:Wednesday, 15 May 2019  

Session Time:14:30  

Session Name:CEST, MT & Beyond  

Program Number:3994  

Presentation Time:14:30   

Room Number:Exhibition Hall  

Computer Number:Computer 140  

dAUTOMAP: Decomposing AUTOMAP to Achieve Scalability and Enhance Performance

Author:Jo Schlemper  Ilkay Oksuz  James Clough  Jinming Duan  Andrew King  Julia Schnabel  Joseph Hajnal  Daniel Rueckert  

Institution:Imperial College London  King's College London  King's College London  

Session Type:Oral  

Session Date:Tuesday, 14 May 2019  

Session Time:15:45  

Session Name:Machine Learning for Image Reconstruction  

Program Number:0658  

Presentation Time:15:57   

Room Number:Room 710B  

Computer Number:

DCE MRI-Based Computational Modeling of Interstitial Fluid Pressure and Velocity in Head and Neck Cancer: Initial Analysis

Author:Eve LoCastro  Yonggang Lu  Ramesh Paudyal  Yousef Mazaheri  Vaios Hatzoglou  Amaresha Shridhar  Alan Ho  Nancy Lee  Joseph Deasy  Amita Shukla-Dave  

Institution:Medical College of Wisconsin  Memorial Sloan Kettering Cancer Center  

Session Type:Oral  

Session Date:Monday, 13 May 2019  

Session Time:13:45  

Session Name:Cutting-Edge Advances in Cancer Imaging  

Program Number:0193  

Presentation Time:13:57   

Room Number:Room 520A-F  

Computer Number:

DCE-MRI is more sensitive than IVIM-DWI for assessing therapy induced changes in tumour perfusion in colorectal liver metastases

DCE-MRI is more sensitive than IVIM-DWI for assessing therapy induced changes in tumour perfusion in colorectal liver metastases

DCE-MRI texture analysis in differentiating adenocarcinoma and squamous cell cancer of cervix

Deconvolution of multi-echo functional MRI data with Multivariate Multi-Echo Sparse Paradigm Free Mapping

Deconvolution of multi-echo functional MRI data with Multivariate Multi-Echo Sparse Paradigm Free Mapping

Decoupling effects of fiber dispersion and microscopic anisotropy fundamentally change interpretations of DTI in multiple sclerosis

Deep CNN for Outlier Detection: A Complementary Tool to Low-Rank based Methods for Reducing Motion Artefacts

Author:Mark Bydder  Vahid Ghodrati  Fadil Ali  Peng Hu  

Institution:University of California Los Angeles  

Session Type:Power Pitch  

Session Date:Wednesday, 15 May 2019  

Session Time:15:45  

Session Name:Pitch: Imperfections, Artifacts, Corrections -- Oh My!  

Program Number:0934  

Presentation Time:15:45   

Room Number:Power Pitch Theater C - Exhibition Hall  

Computer Number:

Deep CNN for Outlier Detection: A Complementary Tool to Low-Rank based Methods for Reducing Motion Artefacts

Author:Mark Bydder  Vahid Ghodrati  Fadil Ali  Peng Hu  

Institution:University of California Los Angeles  

Session Type:Power Pitch Poster  

Session Date:Wednesday, 15 May 2019  

Session Time:16:45  

Session Name:Poster: Imperfections, Artifacts, Corrections, Oh My!  

Program Number:0934  

Presentation Time:16:45   

Room Number:Power Pitch Theater C - Exhibition Hall  

Computer Number:Plasma 44  

Deep convolutional neural networks for brain lesion segmentation in multiple sclerosis using clinical MRI scans

Author:Sunny Nagam  Glen Pridham  Yunyan Zhang  

Institution:University of Calgary  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Segmentation 1  

Program Number:4739  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 21  

Deep learning 3D white matter fiber orientation from 2D histology: pulling 3D rabbits out of 2D hats

Deep learning 3D white matter fiber orientation from 2D histology: pulling 3D rabbits out of 2D hats

Deep Learning Assisted Fully Automatic Post-Processing for Quantitative Lung MRI

Author:Andreas Weng  Christian Kestler  Andreas Kunz  Simon Veldhoen  Thorsten Bley  Herbert Köstler  Tobias Wech  

Institution:University Hospital Würzburg  

Session Type:Digital Poster  

Session Date:Monday, 13 May 2019  

Session Time:13:45  

Session Name:AI & Radiomics in Body MRI  

Program Number:1720  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 115  

Deep Learning Based Adaptive Noise Reduction in Multi-Contrast MR Images

Author:Kensuke Shinoda  Kenzo Isogawa  Masahito Nambu  Yuichi Yamashita  Mika Kitajima  Hiroyuki Uetani  Yasuyuki Yamashita  

Institution:Canon Medical Systems Corporation  Kumamoto University  Toshiba Corporation  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:09:15  

Session Name:Machine Learning for Image Reconstruction: Breakthroughs  

Program Number:4701  

Presentation Time:09:15   

Room Number:Exhibition Hall  

Computer Number:Computer 158  

Deep Learning based motion artifact correction improves the quality of cortical reconstructions

Author:Ben Duffy  Lu Zhao  Arthur Toga  Hosung Kim  

Institution:University of Southern California  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:08:15  

Session Name:Motion Correction: Brain  

Program Number:4426  

Presentation Time:08:15   

Room Number:Exhibition Hall  

Computer Number:Computer 53  

Deep Learning based MR Electrical Properties Tomography

Author:Stefano Mandija  Ettore Meliadò  Niek Huttinga  Peter Luijten  Cornelis van den Berg  

Institution:University Medical Center Utrecht  Utrecht University  

Session Type:Oral  

Session Date:Monday, 13 May 2019  

Session Time:16:00  

Session Name:QSM & ETM  

Program Number:0326  

Presentation Time:17:48   

Room Number:Room 710B  

Computer Number:

Deep Learning based Velocity Aliasing Correction for 4D Flow MRI

Author:Haben Berhane  Hassan Haji-Valizadeh  Joshua Robinson  Michael Markl  Cynthia Rigsby  

Institution:Lurie Childrens Hospital of Chicago  Northwestern University  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Image Enhancement, Quality Assessment & Synthetic Image Generation  

Program Number:4860  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 142  

Deep learning brain conductivity mapping using a patch-based 3D U-net

Author:Nils Hampe  Ulrich Katscher  Cornelius van den Berg  Khin Tha  Stefano Mandija  

Institution:Hokkaido University Hospital  Philips Research Laboratories  University Medical Center Utrecht  University of Lubeck  Utrecht University  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:14:45  

Session Name:Electromagnetic Tissue Mapping  

Program Number:5045  

Presentation Time:14:45   

Room Number:Exhibition Hall  

Computer Number:Computer 152  

Deep Learning for Characterizing Image Sequence Significance in Brain Tissue Segmentation

Author:IVAN CORONADO  REFAAT GABR  SUSHMITTA DATTA  SHEEBA SUJIT  FRED LUBLIN  JERRY WOLINSKY  PONNADA NARAYANA  

Institution:Icahn School of Medicine at Mount Sinai  University of Texas Health Science Center  

Session Type:Digital Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:14:30  

Session Name:Artificial Intelligence Is Taking Over Your Brain 1  

Program Number:2846  

Presentation Time:14:30   

Room Number:Exhibition Hall  

Computer Number:Computer 25  

Deep learning for DSI parameter map generation without image pre-processing

Author:Eric Gibbons  Kyler Hodgson  Ganesh Adluru  Edward DiBella  

Institution:University of Utah  

Session Type:Digital Poster  

Session Date:Wednesday, 15 May 2019  

Session Time:08:15  

Session Name:Diffusion MRI: Image Reconstruction  

Program Number:3359  

Presentation Time:08:15   

Room Number:Exhibition Hall  

Computer Number:Computer 21  

Deep Learning for Identification of Active Lesions in Multiple Sclerosis Without Administration of Gadolinium Based Contrast Agent

Author:PONNADA NARAYANA  IVAN CORONADO  Sushmita Datta  SHEEBA SUJIT  FRED LUBLIN  JERRY WOLINSKY  REFAAT GABR  

Institution:Icahn School of Medicine at Mount Sinai  University of Texas Health Science Center at Houston  

Session Type:Power Pitch  

Session Date:Monday, 13 May 2019  

Session Time:08:15  

Session Name:Pitch: Artificial Intelligence Neuro  

Program Number:0024  

Presentation Time:08:15   

Room Number:Power Pitch Theater B - Exhibition Hall  

Computer Number:

Deep Learning for Identification of Active Lesions in Multiple Sclerosis Without Administration of Gadolinium Based Contrast Agent

Deep Learning for Magnetic Resonance Fingerprinting: Data Augmentation with Phase Encoding and SVD Preprocessing for Accurate Parameter Reconstruction of FISP Data.

Deep Learning for Magnetic Resonance Fingerprinting: Data Augmentation with Phase Encoding and SVD Preprocessing for Accurate Parameter Reconstruction of FISP Data.

Deep learning for prognosis in Degenerative cervical myelopathy

Author:Lucas Rouhier  Matthieu Parizet  Muhammad Akbar  Michael Weber  Michael Fehlings  Julien Cohen-Adad  

Institution:McGill University  Polytechnique Montreal  University of Toronto  Université de Montréal  

Session Type:Digital Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:15:45  

Session Name:Artificial Intelligence Is Taking Over Your Brain 2  

Program Number:3086  

Presentation Time:15:45   

Room Number:Exhibition Hall  

Computer Number:Computer 95  

Deep Learning for Radial SMS Myocardial Perfusion Reconstruction

Author:Johnathan Le  Ye Tian  Jason Mendes  Brent Wilson  Edward DiBella  Ganesh Adluru  

Institution:University of Utah  

Session Type:Digital Poster  

Session Date:Monday, 13 May 2019  

Session Time:17:00  

Session Name:Cardiovascular Image Processing & Reconstruction  

Program Number:2147  

Presentation Time:17:00   

Room Number:Exhibition Hall  

Computer Number:Computer 23  

Deep Learning for solving ill-posed problems in Quantitative Susceptibility Mapping – What can possibly go wrong?

Author:Pia Høy  Kristine Sørensen  Lasse Østergaard  Kieran O'Brien  Markus Barth  Steffen Bollmann  

Institution:Aalborg University  The University of Queensland  Siemens  

Session Type:Oral  

Session Date:Monday, 13 May 2019  

Session Time:16:00  

Session Name:QSM & ETM  

Program Number:0321  

Presentation Time:16:48   

Room Number:Room 710B  

Computer Number:

Deep Learning Model for Liver MRI Segmentation

Author:Amber Mittendorf  Lawrence Ngo  Erol Bozdogan  Mohammad Chaudhry  Steven Chen  Gemini Janas  Jacob Johnson  Zhe Zhu  Maciej Mazurowski  Mustafa Bashir  

Institution:Duke University Medical Center  University of Wisconsin  

Session Type:Digital Poster  

Session Date:Monday, 13 May 2019  

Session Time:13:45  

Session Name:AI & Radiomics in Body MRI  

Program Number:1725  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 120  

Deep learning motion compensation for Cartesian and spiral trajectories

Author:Quan Dou  Xue Feng  Zhixing Wang  Daniel Weller  Craig Meyer  

Institution:University of Virginia  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:08:15  

Session Name:Motion Correction: Brain  

Program Number:4447  

Presentation Time:08:15   

Room Number:Exhibition Hall  

Computer Number:Computer 74  

Deep Learning Pipeline for Automated Identification of Osteoarthritic Degenerative Changes in the Hip

Author:Eugene Ozhinsky  Radhika Tibrewala  Rutwik Shah  Sarah Foreman  Valentina Pedoia  Sharmila Majumdar  

Institution:University of California San Francisco  University of California San Francisco  

Session Type:Power Pitch  

Session Date:Monday, 13 May 2019  

Session Time:13:45  

Session Name:Pitch: MSK Power Pitch  

Program Number:0129  

Presentation Time:13:45   

Room Number:Power Pitch Theater B - Exhibition Hall  

Computer Number:

Deep Learning Pipeline for Automated Identification of Osteoarthritic Degenerative Changes in the Hip

Author:Eugene Ozhinsky  Radhika Tibrewala  Rutwik Shah  Sarah Foreman  Valentina Pedoia  Sharmila Majumdar  

Institution:University of California San Francisco  University of California San Francisco  

Session Type:Power Pitch Poster  

Session Date:Monday, 13 May 2019  

Session Time:14:45  

Session Name:Poster: MSK Power Poster  

Program Number:0129  

Presentation Time:14:45   

Room Number:Power Pitch Theater B - Exhibition Hall  

Computer Number:Plasma 18  

Deep learning segmentation (AxonDeepSeg) to generate axonal-property map from ex vivo human optic chiasm using light microscopy

Author:Thibault Tabarin  Maria Morozova  Carsten Jaeger  Henriette Rush  Markus Morawski  Stefan Geyer  Siawoosh Mohammadi  

Institution:Max Planck Institute for Human Cognitive and Brain Sciences  Medical Center Hamburg-Eppendorf  University Leipzig  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Segmentation 1  

Program Number:4722  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 4  

Deep Learning Super-FOV for Accelerated bSSFP Banding Reduction

Author:Nicholas McKibben  Michael Mendoza  Edward DiBella  Neal Bangerter  

Institution:Brigham Young University  Imperial College London  University of Utah  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Image Reconstruction: Optimised  

Program Number:4791  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 73  

Deep Learning with a Novel Surface Feature for Fully Automatic Quantification of Lesion Hyperintensities in Multiple Sclerosis

Author:Peter Adany  In-Young Choi  Scott Belliston  Jong Chul Ye  Sharon Lynch  Phil Lee  

Institution:Korea Advanced Institute of Science & Technology  University of Kansas Medical Center  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Prediction & Image Analysis  

Program Number:4892  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 174  

Deep Learning with Synthetic Diffusion-Weighted Images for Acute Ischemic Stroke Detection

Deep Learning-Based Automatic Estimation of Volume and Fat Fraction in Abductor Muscles and their Associations with T1? and T2 in Hip Osteoarthritis Patients

Author:Radhika Tibrewala  Valentina Pedoia  Carla Kinnunen  Tijana Popovic  Richard Souza  Sharmila Majumdar  

Institution:University of California San Francisco  University of California San Francisco  

Session Type:Digital Poster  

Session Date:Monday, 13 May 2019  

Session Time:08:15  

Session Name:Muscle 1  

Program Number:1267  

Presentation Time:08:15   

Room Number:Exhibition Hall  

Computer Number:Computer 9  

Deep Learning-based Detection of DSC-Defined Penumbral Tissue on pCASL in Acute Ischemic Stroke

Author:Kai Wang  Qinyang Shou  Samantha Ma  David Liebeskind  Xin Qiao  Fabien Scalzo  Jeffrey Saver  Noriko Salamon  Danny Wang  

Institution:UCLA  University of Southern California  Shanghai Jiaotong University  

Session Type:Digital Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:14:30  

Session Name:Artificial Intelligence Is Taking Over Your Brain 1  

Program Number:2831  

Presentation Time:14:30   

Room Number:Exhibition Hall  

Computer Number:Computer 10  

Deep learning-based whole breast segmentation to support automated breast density measurements from fat-water decomposition MRI

Author:Karl Spuhler  Jie Ding  Maria Altbach  Jean-Philippe Galons  Patricia Thompson  Alison Stopeck  Chuan Huang  

Institution:Stony Brook Medicine  Stony Brook University  University of Arizona College of Medicine  

Session Type:Power Pitch  

Session Date:Tuesday, 14 May 2019  

Session Time:15:45  

Session Name:Pitch: Breast Power Pitch  

Program Number:0600  

Presentation Time:15:45   

Room Number:Power Pitch Theater C - Exhibition Hall  

Computer Number:

Deep learning-based whole breast segmentation to support automated breast density measurements from fat-water decomposition MRI

Author:Karl Spuhler  Jie Ding  Maria Altbach  Jean-Philippe Galons  Patricia Thompson  Alison Stopeck  Chuan Huang  

Institution:Stony Brook Medicine  Stony Brook University  University of Arizona College of Medicine  

Session Type:Power Pitch Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:16:45  

Session Name:Poster: Breast Power Poster  

Program Number:0600  

Presentation Time:16:45   

Room Number:Power Pitch Theater C - Exhibition Hall  

Computer Number:Plasma 41  

Deep Neural Network based Feature Selection in rs-fMRI Brain Functional Connectivity

Author:Gengyan Zhao  Gyujoon Hwang  Cole Cook  Fang Liu  Mary Meyerand  Rasmus Birn  

Institution:University of Wisconsin - Madison  

Session Type:Digital Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:14:30  

Session Name:Artificial Intelligence Is Taking Over Your Brain 1  

Program Number:2822  

Presentation Time:14:30   

Room Number:Exhibition Hall  

Computer Number:Computer 1