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A novel Fourier-based perspective to analyze and compensate for corruption in arterial spin labeling MRI

Author:Seon-Ha Hwang  Sung-Hong Park  

Session Type:Digital Poster  

Session Date:Tuesday, 06 June 2023  

Session Name:Perfusion, Blood Flow & Blood Volume I  

Program Number:2909  

Room Session:Exhibition Halls D/E  

Institution :Korea Advanced Institute of Science and Technology  

Identifying Brain Resting-state Networks from Arterial Spin Labeling with Spectral Clustering

MT-DICE for Simultaneous Quantification of Perfusion, Permeability, and Susceptibility

Intensity-based Deep Learning for SPION concentration estimation in MR imaging

Resolution Dependency Study of Cerebral Blood Volume and Vessel Size Index

Author:Yelim Gong  DongKyu Lee  HyungJoon Cho  

Session Type:Digital Poster  

Session Date:Tuesday, 06 June 2023  

Session Name:Perfusion, Blood Flow & Blood Volume I  

Program Number:2914  

Room Session:Exhibition Halls D/E  

Institution :UNIST  

3D Artificial Cerebral Blood Volume Generation from T1W Structural MRI

Author:Vishwanatha Rao  Scott Small  Jia Guo  

Session Type:Digital Poster  

Session Date:Tuesday, 06 June 2023  

Session Name:Perfusion, Blood Flow & Blood Volume I  

Program Number:2915  

Room Session:Exhibition Halls D/E  

Institution :Columbia University  Columbia University Medical Center  

Comparison of Blood Flow Measurement of Posterior Cerebral Circulation at Vertebral and Basilar Arteries Using Phase Contrast MRI

Author:Feng Xu  Qin Qin  

Session Type:Digital Poster  

Session Date:Tuesday, 06 June 2023  

Session Name:Perfusion, Blood Flow & Blood Volume I  

Program Number:2916  

Room Session:Exhibition Halls D/E  

Institution :Johns Hopkins University  Kennedy Krieger Institute  

Visualization of Collateral Vessels in 4D TRANCE MR Angiography Compaired with 3D TOF in Moyamoya Disease

Author:Zhihua Chen  Kaiyin Liang  Yongkun Lan  Wen Zhou  

Session Type:Digital Poster  

Session Date:Tuesday, 06 June 2023  

Session Name:Perfusion, Blood Flow & Blood Volume I  

Program Number:2917  

Room Session:Exhibition Halls D/E  

Institution :PEKING UNIVESITY SHENZHENG HOSPITAL  

DC-Swin: Deep Cascade of Swin Transformer with Sensitivity Map for Parallel MRI Reconstruction

Author:Naoto Fujita  Yasuhiko Terada  

Session Type:Digital Poster  

Session Date:Tuesday, 06 June 2023  

Session Name:Deep Learning Image Reconstruction I  

Program Number:2919  

Room Session:Exhibition Halls D/E  

Institution :University of Tsukuba  

2.5D Networks for Physics-Guided Deep Learning Reconstruction of 3D Non-Cartesian MRI from Limited Training Data

Greedy Learning for Memory-Efficient Self-Supervised MRI Reconstruction

High Resolution MR Reconstruction with Functionally Separate Neural Networks

Author:Hideaki Kutsuna  Shun Uematsu  Kensuke Shinoda  

Session Type:Digital Poster  

Session Date:Tuesday, 06 June 2023  

Session Name:Deep Learning Image Reconstruction I  

Program Number:2922  

Room Session:Exhibition Halls D/E  

Institution :Canon Medical Systems Corporation  

Improving variational network based 2D MRI reconstruction via feature-space data consistency

Accelerate Single-Channel 3D MRI through Undersampling and Deep Neural Network Reconstruction

Author:Christopher Man  Vick Lau  Jiahao Hu  Junhao Zhang  Linfang Xiao  Ed Wu  

Session Type:Digital Poster  

Session Date:Tuesday, 06 June 2023  

Session Name:Deep Learning Image Reconstruction I  

Program Number:2924  

Room Session:Exhibition Halls D/E  

Institution :the University of Hong Kong  

Deep Unfolding MR reconstruction - weighting the k-space sampling Density in training Loss (wkDeLo)

A Regularized Conditional GAN for Posterior Sampling in MR Image Reconstruction

Author:Matthew Bendel  Rizwan Ahmad  Philip Schniter  

Session Type:Digital Poster  

Session Date:Tuesday, 06 June 2023  

Session Name:Deep Learning Image Reconstruction I  

Program Number:2926  

Room Session:Exhibition Halls D/E  

Institution :The Ohio State University  

Acquisition Adaptive Unrolled Deep Learning Framework for Parallel MRI

Posterior Sampling for Accelerated Multicoil MRI Reconstruction using a Conditional Normalizing Flow

Author:Jeffrey Wen  Rizwan Ahmad  Philip Schniter  

Session Type:Digital Poster  

Session Date:Tuesday, 06 June 2023  

Session Name:Deep Learning Image Reconstruction I  

Program Number:2928  

Room Session:Exhibition Halls D/E  

Institution :The Ohio State University  

MixRecon: A neural network mixing CNN and Transformer utilizes hybrid representations of image features for Accelerated MRI Reconstruction

Author:Hongjian Kang  Liping Zhang  Weitian Chen  

Session Type:Digital Poster  

Session Date:Tuesday, 06 June 2023  

Session Name:Deep Learning Image Reconstruction I  

Program Number:2929  

Room Session:Exhibition Halls D/E  

Institution :The Chinese University of Hong Kong  

Model-based neural ODE network for parallel MRI reconstruction

Author:Jun-Hyeok Lee  Gawon Lee  Se-Hong Oh  

Session Type:Digital Poster  

Session Date:Tuesday, 06 June 2023  

Session Name:Deep Learning Image Reconstruction I  

Program Number:2930  

Room Session:Exhibition Halls D/E  

Institution :Hankuk University of Foreign Studies  

Multicoil Deep Equilibrium MRI Reconstruction

Author:Muntasir Shamim  Chenwei Tang  Leonardo Rivera  Kevin Johnson  

Session Type:Digital Poster  

Session Date:Tuesday, 06 June 2023  

Session Name:Deep Learning Image Reconstruction I  

Program Number:2931  

Room Session:Exhibition Halls D/E  

Institution :University of Wisconsin Madison  

Recovery with self-calibrated denoisers from multiple undersampled images (ReSiDe-M)

Author:Sizhuo Liu  Philip Schniter  Rizwan Ahmad  

Session Type:Digital Poster  

Session Date:Tuesday, 06 June 2023  

Session Name:Deep Learning Image Reconstruction I  

Program Number:2932  

Room Session:Exhibition Halls D/E  

Institution :The Ohio State University  

Accelerating MRI Using Vision Transformer with Unpaired Unsupervised Training

On Training Model Bias of Deep Learning based Super-resolution Frameworks for Magnetic Resonance Imaging

Deep Learning-based MRI Reconstruction with Artificial Fourier Transform(AFT)-Net

Author:Yanting Yang  Andrew F. Laine  Jia Guo  

Session Type:Digital Poster  

Session Date:Tuesday, 06 June 2023  

Session Name:Deep Learning Image Reconstruction I  

Program Number:2935  

Room Session:Exhibition Halls D/E  

Institution :Columbia University  

When System Model meets Image Prior: An Unsupervised Deep Learning Architecture for Accelerated Magnetic Resonance Imaging

Author:Ibsa Jalata  Ukash Nakarmi  

Session Type:Digital Poster  

Session Date:Tuesday, 06 June 2023  

Session Name:Deep Learning Image Reconstruction I  

Program Number:2936  

Room Session:Exhibition Halls D/E  

Institution :University of Arkansas  

Accelerated MRI Reconstruction Using a Lightweight Recurrent Transformer: ReconFormer

Author:Pengfei Guo  Yiqun Mei  Jinyuan Zhou  Shanshan Jiang  Vishal Patel  

Session Type:Digital Poster  

Session Date:Tuesday, 06 June 2023  

Session Name:Deep Learning Image Reconstruction I  

Program Number:2938  

Room Session:Exhibition Halls D/E  

Institution :Johns Hopkins University  

Through-plane Super-resolution of Prostate MRI Using Diffusion Models

Author:Kai Zhao  Jiahao Lin  Kyung Hyun Sung  

Session Type:Digital Poster  

Session Date:Tuesday, 06 June 2023  

Session Name:Data Analysis & Processing I  

Program Number:2939  

Room Session:Exhibition Halls D/E  

Institution :University of California, Los Angeles  

Deep learning of 3D T2-weighted MRI provides support for arachnoid granulation hypertrophy in patients with Parkinsons disease

Deep learning improves the estimation of fiber orientation distribution for tractography in the human

Automated hybrid approach to diagnose Parkinson's disease via deep learning and radiomics

Author:Hongyi Chen  Xueling Liu  Yuxin Li  Puyeh Wu  Daoying Geng  

Session Type:Digital Poster  

Session Date:Tuesday, 06 June 2023  

Session Name:Data Analysis & Processing I  

Program Number:2942  

Room Session:Exhibition Halls D/E  

Institution :Fudan University  GE Healthcare  

Biophysical model estimation of white matter using machine learning combined dictionary-based non-negative linear least square optimization

Author:Hesam Abdolmotalleby  Merry Mani  

Session Type:Digital Poster  

Session Date:Tuesday, 06 June 2023  

Session Name:Data Analysis & Processing I  

Program Number:2943  

Room Session:Exhibition Halls D/E  

Institution :University of Iowa  

Association of neuroanatomical changes with neuropsychological changes in Treated Adult HIV-Positive Patients

The effects of brain diffusion MRI preprocessing pipelines in a clinical study of neurodegenerative disease

Generative diffusion model for DSC MRI artifact correction

Image distortion correction for diffusion MRI using U-Net and Transformer

MP-PCA image denoising technique for high resolution quantitative susceptibility mapping (QSM) of the human brain in vivo

Manifold Learning and Dimensionality Estimation for the Human Functional Connectome

Author:Javier Gonzalez-Castillo  Isabel Fernandez  Daniel Handwerker  Ka-Chun Lam  Francisco Pereira  Peter Bandettini  

Session Type:Digital Poster  

Session Date:Tuesday, 06 June 2023  

Session Name:Data Analysis & Processing I  

Program Number:2949  

Room Session:Exhibition Halls D/E  

Institution :NIMH  

Realizing a robust multi-task training strategy with deep learning: application in Spine MR image quality assessment

Author:Deepa Anand  Dattesh Shanbhag  Chitresh Bhushan  Uday Patil  

Session Type:Digital Poster  

Session Date:Tuesday, 06 June 2023  

Session Name:Data Analysis & Processing I  

Program Number:2950  

Room Session:Exhibition Halls D/E  

Institution :GE Healthcaer  GE Healthcare  

Respiratory Motion Artifact Simulation for DL application in Cardiac MR Image Quality Assessment

Deep Learning based prediction of the planes for automated planning of MRI imaging of cervical neural foramina and lumbar pars interarticularis

Author:Chitresh Bhushan  Dattesh Shanbhag  Uday Patil  Trevor Kolupar  Maggie Fung  

Session Type:Digital Poster  

Session Date:Tuesday, 06 June 2023  

Session Name:Data Analysis & Processing I  

Program Number:2952  

Room Session:Exhibition Halls D/E  

Institution :GE Healthcare  GE Research  

Deep learning-based saturation band placement in spine localizer images

Author:Ashish Saxena  Chitresh Bhushan  Soumya Ghose  Patil Uday  Kameswari Padmanabhan  Sanjay NT  Dattesh Shanbhag  

Session Type:Digital Poster  

Session Date:Tuesday, 06 June 2023  

Session Name:Data Analysis & Processing I  

Program Number:2953  

Room Session:Exhibition Halls D/E  

Institution :GE Healthcare  GE Research  

Within Patient Contrast Adjustment Through a Self-Consistent Deep Learning Model when Imaging Near Metal: An Example in Angiography

Author:Kevin Koch  Andrew Nencka  

Session Type:Digital Poster  

Session Date:Tuesday, 06 June 2023  

Session Name:Data Analysis & Processing I  

Program Number:2954  

Room Session:Exhibition Halls D/E  

Institution :Medical College of Wisconsin  

Real-time style transfer for quantitative susceptibility mapping using unsupervised learning

Author:Zhuang Xiong  Yang Gao  Hongfu Sun  

Session Type:Digital Poster  

Session Date:Tuesday, 06 June 2023  

Session Name:Data Analysis & Processing I  

Program Number:2955  

Room Session:Exhibition Halls D/E  

Institution :Central South University  The University of Queensland  

Self-contained comprehensive quantification of dynamic contrast-enhanced MRI using physics+kinetics-based network learning (PKNet)

Author:Soudabeh Kargar  Ouri Cohen  Sungmin Woo  Hebert Vargas  Ricardo Otazo  

Session Type:Digital Poster  

Session Date:Tuesday, 06 June 2023  

Session Name:Data Analysis & Processing I  

Program Number:2957  

Room Session:Exhibition Halls D/E  

Institution :MSKCC  

Predicting the Risk of Non-Saccular Aneurysms Based on the Dynamic Contrast-Enhanced Magnetic Resonance Imaging