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A data-driven method for automatic regularization selection in a hybrid DL-SENSE reconstruction

Author:Zahra Hosseini  Thorsten Feiweier  John Conklin  Stephan Kannengießer  Marcel Nickel  Min Lang  Azadeh Tabari  Augusto Filho  Wei-Ching Lo  Maria Longo  Michael Lev  Pamela Schaefer  Otto Rapalino  Susie Huang  Stephen Cauley  B Clifford  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Deep/Machine Learning-Based Image Acquisition & Reconstruction I  

Program Number:1052  

Room Session:Exhibition Hall:S8 & S9  

Institution:Massachusetts General Hospital  Massachusetts General Hospital, Harvard Medical School  Siemens Healthcare GmbH  Siemens Medical Solutions USA  

Accelerating MR Elastography using Deep Learning-Reconstruction of Undersampled Data

Author:Robin Bugge  Jon Andre Ottesen  Elies Fuster  Atle Bjørnerud  Kyrre Emblem  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Deep/Machine Learning-Based Image Acquisition & Reconstruction I  

Program Number:1056  

Room Session:Exhibition Hall:S8 & S9  

Institution:Oslo University Hospital  Universitat Polite`cnica de Vale`ncia  

Brain MR image super resolution using simulated data to perform in real-world MRI

Author:Aymen Ayaz  Kirsten Lukassen  Cristian Lorenz  Juergen Weese  Marcel Breeuwer  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Deep/Machine Learning-Based Image Acquisition & Reconstruction I  

Program Number:1057  

Room Session:Exhibition Hall:S8 & S9  

Institution:Eindhoven University of Technology  Philips Research Laboratories  Philips Healthcare  

Complex graph convolutional neural networks compared to GRAPPA for reconstruction of undersampled non-Cartesian MRSI

Author:Paul Weiser  Stanislav Motyka  Wolfgang Bogner  Georg Langs  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Deep/Machine Learning-Based Image Acquisition & Reconstruction I  

Program Number:1058  

Room Session:Exhibition Hall:S8 & S9  

Institution:Computational Imaging Research Lab - Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna  High Field MR Center - Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna  

Concept of a symmetry-guided single-layer neural network for image reconstruction of undersampled radial-MRI k-space data.

Author:Sjoerd Ypma  Ivo Maatman  Matthan Caan  Dimitris Karkalousos  Marnix Maas  Tom Scheenen  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Deep/Machine Learning-Based Image Acquisition & Reconstruction I  

Program Number:1055  

Room Session:Exhibition Hall:S8 & S9  

Institution:Amsterdam UMC, Biomedical Engineering and Physics, University of Amsterdam  Radboud UMC, Radiology and Nuclear Medicine, University of Nijmegen  

Data scarcity mitigation approaches in deep learning reconstruction of undersampled low field MR images

Author:Tobias Senft  Reina Ayde  Najat Salameh  Mathieu Sarracanie  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Deep/Machine Learning-Based Image Acquisition & Reconstruction I  

Program Number:1054  

Room Session:Exhibition Hall:S8 & S9  

Institution:University of Basel  

Deep learning reconstruction enables accelerated acquisitions with consistent volumetric measurements

Author:R. Marc Lebel  Suryanarayanan Kaushik  Trevor Kolupar  Nate White  Weidong Luo  Suchandrima Banerjee  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Deep/Machine Learning-Based Image Acquisition & Reconstruction I  

Program Number:1060  

Room Session:Exhibition Hall:S8 & S9  

Institution:Cortechs  GE Healthcare  

Iterative RAKI with complex-valued convolution for improved image reconstruction with limited training samples

Author:Peter Dawood  Martin Blaimer  Felix Breuer  Paul Burd  István Homolya  Peter Jakob  Johannes Oberberger  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Deep/Machine Learning-Based Image Acquisition & Reconstruction I  

Program Number:1053  

Room Session:Exhibition Hall:S8 & S9  

Institution:Fraunhofer IIS, Fraunhofer Institute for Integrated Circuits IIS, Division Development Center X-Ray Technology  Research Centre for Natural Sciences  University Hospital Würzburg  University of Würzburg  Budapest University of Technology and Economics  

Machine Enhanced Reconstruction Learning and Interpretation Networks (MERLIN)

Author:Kerstin Hammernik  Thomas Küstner  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Deep/Machine Learning-Based Image Acquisition & Reconstruction I  

Program Number:1051  

Room Session:Exhibition Hall:S8 & S9  

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

Protocol harmonization using a generative adversarial network decreases morphometry variability

Author:Veronica Ravano  Jean-François Démonet  Daniel Damian  Reto Meuli  Gian Franco Piredda  Till Huelnhagen  Bénédicte Maréchal  Jean-Philippe Thiran  Tobias Kober  Jonas Richiardi  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Deep/Machine Learning-Based Image Acquisition & Reconstruction I  

Program Number:1050  

Room Session:Exhibition Hall:S8 & S9  

Institution:Ecole Polytechnique Fédérale de Lausanne (EPFL)  Lausanne University Hospital and University of Lausanne  Siemens Healthcare AG  

Signal prediction in echo dimension of multi-echo gradient echo using multi-layer seq2seq model

Author:Jisu Yun  Seul Lee  Muyul Park  Dong-Hyun Kim  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Deep/Machine Learning-Based Image Acquisition & Reconstruction I  

Program Number:1059  

Room Session:Exhibition Hall:S8 & S9  

Institution:Department of Electrical and Electronic Engineering, Yonsei University  

Single-Shot Adaptation using Score-Based Models for MRI Reconstruction

Author:Marius Arvinte  Ajil Jalal  Giannis Daras  Eric Price  Alex Dimakis  Jonathan Tamir  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Deep/Machine Learning-Based Image Acquisition & Reconstruction I  

Program Number:1061  

Room Session:Exhibition Hall:S8 & S9  

Institution:The University of Texas at Austin