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Assessment of Instabilities of Conventional and Deep Learning Multi-Coil MRI Reconstruction at Multiple Acceleration Factors

Author:Ruoxun Zi  Patricia Johnson  Florian Knoll  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Deep Learning Image Reconstruction II  

Program Number:0951  

Room Session:Exhibition Hall:S8 & S9  

Institution:Center for Biomedical Imaging, Department of Radiology, NYU School of Medicine  Department Artificial Intelligence in Biomedical Engineering, FAU Erlangen-Nuremberg  Center for Advanced Imaging Innovation and Research (CAI2R), NYU School of Medicine  

A Cartilage-Specific Loss Function Improves Image Reconstruction Performance in Multiple Tissues of Clinical Interest

Author:Aniket Tolpadi  Francesco Calivà  Misung Han  Emma Bahroos  Peder Larson  Sharmila Majumdar  Valentina Pedoia  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Deep Learning Image Reconstruction II  

Program Number:0948  

Room Session:Exhibition Hall:S8 & S9  

Institution:UCSF  University of California, Berkeley  

Coil-sketched unrolled networks for computationally-efficient deep MRI reconstruction

Author:Julio Oscanoa  Batu Ozturkler  Siddharth Iyer  Zhitao Li  Christopher Sandino  Mert Pilanci  Daniel Ennis  Shreyas Vasanawala  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Deep Learning Image Reconstruction II  

Program Number:0947  

Room Session:Exhibition Hall:S8 & S9  

Institution:Massachusetts Institute of Technology  Stanford University  

Deep Learning based MR reconstruction for accelerated 3D-PREFUL ventilation assessment of post-COVID-19 patients from undersampled MR-images

Author:Maximilian Zubke  Filip Klimeš  Andreas Voskrebenzev  Marcel Gutberlet  Agilo Kern  Robin Müller  Arnd Obert  Frank Wacker  Jens Vogel-Claussen  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Deep Learning Image Reconstruction II  

Program Number:0946  

Room Session:Exhibition Hall:S8 & S9  

Institution:Hannover Medical School  Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research (DZL)  

Gradual RAKI reconstruction merged with intermittent GRAPPA blurring moderation with limited scan-specific training samples

Author:István Homolya  Péter Kemenczky  Peter Dawood  Zoltán Vidnyánszky  Martin Blaimer  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Deep Learning Image Reconstruction II  

Program Number:0944  

Room Session:Exhibition Hall:S8 & S9  

Institution:Fraunhofer Institute for Integrated Circuits IIS  Research Centre for Natural Sciences  University of Würzburg  

Hybrid image and k-space deep learning reconstruction exploiting spatio-temporal redundancies for 2D cardiac CINE

Author:Siying Xu  Patrick Krumm  Andreas Lingg  Haikun Qi  Kerstin Hammernik  Thomas Küstner  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Deep Learning Image Reconstruction II  

Program Number:0953  

Room Session:Exhibition Hall:S8 & S9  

Institution:ShanghaiTech University  Technical University of Munich  University Hospital of Tuebingen  Imperial College London  

Improved Neural Network-Based Coil Compression

Author:Elizabeth Cole  Qingxi Meng  Anishka Raina  John Pauly  Shreyas Vasanawala  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Deep Learning Image Reconstruction II  

Program Number:0952  

Room Session:Exhibition Hall:S8 & S9  

Institution:Equal Contribution  Stanford University  The Harker School  

Improvements of Image Quality of 1H and 129Xe MRI by Using an Advanced Acquisition and Reconstruction Method Coupled with Deep Learning

Author:Samuel Perron  Matthew Fox  Alexei Ouriadov  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Deep Learning Image Reconstruction II  

Program Number:0954  

Room Session:Exhibition Hall:S8 & S9  

Institution:The University of Western Ontario  Lawson Health Research Institute  

IMPULSED model-based brain tumor microstructural parameter estimation with deep neural network

Author:Jian Wu  Taishan Kang  Xinran Chen  Lina Xu  Jianzhong Lin  Zhigang Wu  Tianhe Yang  Congbo Cai  Shuhui Cai  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Deep Learning Image Reconstruction II  

Program Number:0949  

Room Session:Exhibition Hall:S8 & S9  

Institution:MSC Clinical & Technical Solutions, Philips Healthcare  Xiamen University  Zhongshan Hospital Afflicated to Xiamen University  

MRI Regularization for Low-Count PET Image Recovery using Unsupervised Learning Without the Need of Training Set - A Multi-Tracer PET/MRI Study

Author:Mario Serrano-Sosa  Chuan Huang  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Deep Learning Image Reconstruction II  

Program Number:0945  

Room Session:Exhibition Hall:S8 & S9  

Institution:Stony Brook Medicine  Stony Brook University  

New Denoising Neural Network for Diffusion Tensor Imaging Signal-to-Noise Ratio Enhancement

Author:Po-Ting Chen  Tzu-Yi Wang  Jyh-Horng Chen  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Deep Learning Image Reconstruction II  

Program Number:0950  

Room Session:Exhibition Hall:S8 & S9  

Institution:National Taiwan University