The workshop will be held on Zoom, and it is open to everyone interested!
https://partners.zoom.us/j/87304439088
Please find a tentative program of the workshop which will be held on September 7 – 9 below:
Day1
| 1500 – 1715 UTC | Novel Reconstruction – I | Moderators: Jon Tamir, Tae Hyung Kim |
|---|---|---|
| 1500 UTC | Learning data consistency for dynamic MR imaging | Jing Cheng Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences |
| 1505 UTC | Bayesian Image Reconstruction with a Learned Prior | Guanxiong Luo Institute for Diagnostic and Interventional Radiology, University Medical Center Göttingen |
| 1510 UTC | Compressed sensing MRI with Variable Density Approximate Message Passing (VDAMP) | Charles Millard University of Oxford |
| 1515 UTC | Progressively Volumetrized Deep Generative Models for Contextual MRI | Mahmut Yurt Bilkent University |
| 1520 UTC | One-heartbeat cardiac CINE: exploiting non-rigid motion correction to improve motion-resolved imaging | Gastao Cruz Biomedical Engineering Department, King’s College London |
| 1525 UTC | Joint reconstruction of diffusion imaging acquired using time-division multiplexing sequence with complementary k-space sampling | Lipeng Ning Brigham and Women’s Hospital |
| 1530 UTC | Towards High-Resolution Sodium Imaging with Model-Assisted Deep Priors | Yibo Zhao UIUC |
| 1535 UTC | Low-Rank and Framelet Based Sparsity Decomposition for Interventional MRI Reconstruction | Zhao He Shanghai Jiao Tong University |
| 1540 UTC | 25 min brainstorm session | |
| 1605 UTC | Accelerated MRI reconstruction using LORAKS: Leveraging k-space linear predictability and structured low-rank modeling to predict missing samples | Rodrigo A. Lobos University of Southern California |
| 1610 UTC | Untrained neural networks for k-space based reconstruction | Arghya Pal Brigham and Women’s Hospital |
| 1615 UTC | Self-supervised and zero-shot deep learning without ground truth data for accelerating MRI | Burhaneddin Yaman University of Minnesota |
| 1620 UTC | Joint Magnitude and Phase Constrained Reconstruction for Self-Navigated Cartesian Echo-Planar Time Resolved (scEPTI) Diffusion MRI | Erpeng Dai Stanford University |
| 1625 UTC | The 2020 fastMRI Reconstruction Challenge: An overview | Bruno Riemenschneider NYU Department of Radiology and FAU Department of Artificial Intelligence in Biomedical Engineering |
| 1630 UTC | Robust Compressed Sensing MRI with Deep Generative Priors | Marius Arvinte The University of Texas at Austin |
| 1635 UTC | Subtle inverse crimes – Naïve usage of Big Data could give rise to biased machine-learning MRI reconstruction algorithms | Efrat Shimron UC Berkeley |
| 1640 UTC | Wave-Encoded Model-based Deep Learning for Highly Accelerated 3D Imaging | Jaejin Cho MGH |
| 1645 UTC | Joint Frequency and Image Space Learning for MRI Reconstruction and Artifact Correction | Nalini Singh MIT |
| 1650 UTC | 25 min brainstorm session | |
| 15 min break | ||
| 1730 – 1855 UTC | Artifact Mitigation – I | Moderators: Susie Huang, Erpeng Dai |
| 1730 UTC | Slab Boundary Artifact Correction in Multi-slab DWI Using CNN-enabled Inversion for Slab Profile Encoding (CPEN) | Jieying Zhang Tsinghua University |
| 1735 UTC | Simultaneous lumen and vessel wall imaging in clinical applications | Camila Munoz Biomedical Engineering Department, King’s College London |
| 1740 UTC | Improved temporal stability of 3D multi-shot EPI by structured low-rank reconstruction | Xi Chen University of Oxford |
| 1745 UTC | Dynamic Realtime z-Shimming for Ghosting Reduction in Spinal Cord MRI | Eva Alonso Ortiz Polytechnique Montreal |
| 1750 UTC | Deep learning field map estimation with model-based image reconstruction for off resonance correction of spiral fMRI data | Melissa Haskell University of Michigan |
| 1755 UTC | Radiofrequency scattering and respiratory monitoring | Daniel Papp Polytechnique Montreal |
| 1800 UTC | Volumetric and Multispectral Diffusion Weighted Imaging Near Metallic Implants using a Non-Linear Phase CPMG Diffusion Preparation | Philip Lee Stanford University |
| 1805 UTC | Distortion-Free Diffusion MRI Using Self-Navigated Cartesian Echo-Planar Time Resolved Acquisition (scEPTI) | Erpeng Dai Stanford University |
| 1810 UTC | Universal Sampling Denoising (USD) of non-Cartesian MRI | Hong-Hsi Lee MGH |
| 1815 UTC | Shimming-Toolbox: An open-source software package for realtime B0 shimming experiments | Alexandre D’Astous Polytechnique Montreal |
| 1820 UTC | Designing and Implementing Optimized Gradient Waveforms with GrOpt and Pulseq | Michael Loecher Stanford University |
| 1825 UTC | Scan-specific Artifact Reduction in K-space improves wave-encoded reconstructions | Yamin Arefeen MIT |
| 1830 UTC | 30 min brainstorm session |
Day2
| 1500 – 1715 UTC | Novel Acquisition | Moderators: Lipeng Ning, Guanhua Wang |
| 1500 UTC | Whole-brain 3D diffusion MRI using simultaneous multi-slab (SMSlab) acquisition | Simin Liu Tsinghua University |
| 1505 UTC | High-fidelity fast volumetric brain MRI using a hybrid denoising generative adversarial network (HDnGAN) | Ziyu Li MGH |
| 1510 UTC | Investigating spiral perfusion imaging using Pulseq at 7T | Ruoyun Emily Ma Maastricht University, The Netherlands |
| 1515 UTC | Super-resolution with SSFP | Peter Lally Imperial College / University of Oxford |
| 1520 UTC | Nonlinear RF encoding at low-field using the Bloch-Siegert shift | Kartiga Selvaganesan Yale University |
| 1525 UTC | In Vivo Multiphoton Excitation MRI | Victor Han UC Berkeley |
| 1530 UTC | Low rank reconstructions for high-speed 3D isotropic speech MRI | Riwei Jin UIUC |
| 1535 UTC | Vendor-neutral acquisitions improve multicenter reproducibility | Agah Karakuzu École Polytechnique, University of Montreal |
| 1540 UTC | 30 min brainstorm session | |
| 1610 UTC | Self-calibrating spiral GRAPPA for real-time, multi-slice cardiac imaging | Dominique Franson University of Michigan |
| 1615 UTC | Reduction of reconstruction and calibration latency in Radial GRAPPA with Coil Compression and Multipoint Reconstruction | James Ahad University of Michigan |
| 1620 UTC | Accelerated 3D FRONSAC | Yanitza Rodriguez Yale University |
| 1625 UTC | Accelerated relaxation-diffusion imaging by integrating time-division multiplexing (TDM) | Yang Ji Brigham and Women’s Hospital |
| 1630 UTC | Displacement Spectrum as a New Approach to Flow and Perfusion Imaging | Ekin Karasan UC Berkeley |
| 1635 UTC | Differentiable MRI: Joint Optimization Of Non-Cartesian Sampling Trajectory, Physics-informed Reconstruction, and More | Guanhua Wang University of Michigan |
| 1640 UTC | On the Feasibility of Hybrid-State based Quantitative MRI at 0.55T | Sebastian Flassbeck NYU Department of Radiology and FAU Department of Artificial Intelligence in Biomedical Engineering |
| 1645 UTC | 30 min brainstorm session | |
| 15 min break | ||
| 1730 – 1900 UTC | Artifact mitigation – II, RF Pulse Design & Novel Hardware | Moderators: Emine Ulku Saritas, Jaejin Cho |
| 1730 UTC | Simultaneous super-resolution and motion artifact removal in MRI using unsupervised deep learning | Hyungjin Chung Korea Advanced Institute of Science and Technology |
| 1735 UTC | Reduced FOV Imaging with Unlimited Slice Coverage and Enhanced Off-resonance Robustness using Sheared 2D RF Excitation | Bahadir Alp Barlas Bilkent University |
| 1740 UTC | Multiphoton Excitation Pulse Design | Victor Han UC Berkeley |
| 1745 UTC | A Deep Learning Approach for the Correction of Susceptibility Artifacts in Diffusion Weighted MRI Images | Abdallah Zaid Alkinali Bilkent University |
| 1750 UTC | Acquisition and reconstruction challenges of layer-fMRI VASO in the auditory cortex: A user perspective | Lonike Faes Maastricht University, The Netherlands |
| 1755 UTC | Non-Linear Droop Compensation for Current Waveforms in MRI Gradient Systems | Reza Babaloo Bilkent University |
| 1800 UTC | Space Analysis of Class-E RF Amplifiers for a Transmit Array System | Ziba Arghiani Bilkent University |
| 1805 UTC | Diffusion imaging using a nonlinear gradient coil for prostate MRI | Nahla Elsaid Yale University |
| 1810 UTC | Design of RF systems for nonlinear encoding at low field | Yonghyun Ha Yale University |
| 1815 UTC | Reducing signal dropouts on 7 T Terra through pTx and dielectric pads | Aaron Anderson UIUC |
| 1820 UTC | Field Map Combination of Phase-Cycled Balanced SSFP | Anjali Datta Stanford University |
| 1825 UTC | 35 min brainstorm session |
Day3
1500 – 1715 UTC | Novel Reconstruction – II | Moderators: Akshay Chaudhari, Yamin Arefeen |
| 1500 UTC | SMS-EPI Reconstruction without SMS Reference: Demonstration Using 7T HCP-style Diffusion Acquisition | Ziyi Pan Tsinghua University |
| 1505 UTC | Deep Low-rank plus Sparse Network for Dynamic MR Imaging | Wenqi Huang Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences |
| 1510 UTC | Evaluating Wave-CAIPI reconstruction with LORAKS | Alejandro Monreal Maastricht University, The Netherlands |
| 1515 UTC | Unsupervised MRI Reconstruction with Generative Vision Transformers | Salman UH Dar Bilkent University |
| 1520 UTC | Beyond MSE and SSIM: New Instruments for More Comprehensive Performance Evaluation of Advanced Image Reconstruction Methods | Chin-Cheng Chan University of Southern California |
| 1525 UTC | Learning Optimal K-Space Acquisition for Accelerated MRI | Wei Peng MGH |
| 1530 UTC | Noise2Recon: A Semi-Supervised Framework for Joint MRI Reconstruction and Denoising in Data Limited Settings | Arjun Desai Stanford University, Department of Radiology |
| 1535 UTC | 20 min brainstorm session | |
| 1555 UTC | Deep learning reconstruction enables highly accelerated biparametric MR imaging of the prostate | Patricia Johnson NYU Department of Radiology and FAU Department of Artificial Intelligence in Biomedical Engineering |
| 1600 UTC | Learn to Better Regularize Constrained Reconstruction | Yue Guan Shanghai Jiaotong University |
| 1605 UTC | High-Fidelity Deep Learning-based MRI Reconstruction with Instance-wise Discriminative Feature Matching Loss | Ke Wang UC Berkeley |
| 1610 UTC | Combining the ConvDecoder architecture with model-based regularization for dynamic MR image reconstruction in quantitative imaging | Kalina Slavkova Computational Sensing and Imaging Lab, The University of Texas at Austin |
| 1615 UTC | An MR-Multitasking driven integrated imaging framework for MR-guided online adaptive radiotherapy | Junzhou Chen University of Southern California |
| 1620 UTC | Constrained MRSI Reconstruction Using Physics-Driven Low-Dimensional Model Learning | Yahang Li UIUC |
| 1625 UTC | Improving Synthetic MRI from Estimated Quantitative Maps with Deep Learning | Sidharth Kumar Computational Sensing and Imaging Lab, The University of Texas at Austin |
| 1630 UTC | Multi-shot EPI ghost correction in high-spatial resolution, high-gradient-strength dMRI with advanced k-space reconstruction | Gabriel Ramos Llorden MGH |
| 1635 UTC | 15 min brainstorm session | |
| 15 min break | ||
| 1705 – 1900 UTC | Quantitative Imaging | Moderators: Audrey Fan, Fan Lam |
| 1705 UTC | Model-based reconstruction with automatic differentiation for single-shot myocardial T1 mapping using radial MOLLI with FLASH readout | Xiaoqing Wang Institute for Diagnostic and Interventional Radiology, University Medical Center Göttingen |
| 1710 UTC | Highly Accelerated Free-running 3D T1/T2 Myocardial Mapping using Non-rigid Cardiac Motion Correction | Andrew Phair Biomedical Engineering Department, King’s College London |
| 1715 UTC | Performance Analysis of Diffusion Metrics for Undersampled Multi-Shell Diffusion MRI | Elif Aygun Bilkent University |
| 1720 UTC | Free-breathing fat and R2* mapping using multi-echo radial FLASH and model-based reconstruction | Zhengguo Tan Institute for Diagnostic and Interventional Radiology, University Medical Center Göttingen |
| 1725 UTC | Diffusion-Relaxation Correlation Spectroscopic Imaging: From Experiment Design to Spatial Mapping of Microstructure | Daeun Kim University of Southern California |
| 1730 UTC | High-Resolution Quantitative Diffusion-Weighted MRSI Using Subspace Imaging | Zepeng Wang UIUC |
| 1735 UTC | Dynamic vascular magnetic resonance fingerprinting of cerebral physiology | Greg Wheeler UC Davis |
| 1740 UTC | Subvoxel Susceptibility Composition of QSM using DECOMPOSE | Jingjia Chen UC Berkeley |
| 1745 UTC | 20 min brainstorm session | |
| 1805 UTC | Quantitative BOLD modeling of brain oxygenation during vasodilation | Linh Le UC Davis |
| 1810 UTC | Prospective Evaluation of a Deep Learning-Based Reconstruction Framework for Highly Accelerated 2D Phase Contrast MRI | Matthew J. Middione Stanford |
| 1815 UTC | Reproducibility of multi-parametric R2’ measurements to assess cerebrovascular disease | Denise Zhong UC Davis |
| 1820 UTC | T1, T2, and R2* mapping with Rosette MRF | Evan Cummings University of Michigan |
| 1825 UTC | Quantitative parameter mapping from single contrast imaging using bilinearly constrained minimization | Nahla Elsaid Yale University |
| 1830 UTC | T1 mapping : promise and pitfalls | Mathieu Boudreau École Polytechnique, University of Montreal |
| 1835 UTC | Quantifying exchange using optimized small-tip fast recovery (STFR) sequences | Naveen Murthy University of Michigan |
| 1840 UTC | MR parameter mapping with unsupervised scan-specific neural networks | Tae Hyung Kim MGH |
| 1845 UTC | 15 min brainstorm session & closing |