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ISMRM Workshops: Learn, Share Research & Network |
Posters
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Posters are available to registered attendees only.
| Poster No. | Title | Author |
| 1 |
Stack-of-Stars Inversion-Recovery MRI for Free-Breathing T1 Mapping & IR-Prepared Fat/Water Separation | Li Feng, Ph.D. Icahn School of Medicine at Mount Sinai New York, NY, USA |
| 2 |
SNR Efficiency of Self-Calibrated 3D dMRI SE-EPI for Whole-Brain High Resolution | Steen Moeller, Ph.D. University of Minnesota Minneapolis, MN, USA |
| 3 |
Noise Removal for High-Quality Submillimeter Diffusion MRI Reconstruction | Gabriel Ramos-Llordén , Ph.D. Brigham and Women's Hospital, Harvard Medical School Boston, MA, USA |
| 4 |
Radial Plane Knee Imaging with a Spiral Dixon Technique | Dinghui Wang, Ph.D. Mayo Clinic Rochester, MN, USA |
| 5 |
SPRING TSE: 2D T2-Weighted Brain Imaging Using SPiral RING Turbo Spin-Echo | Zhixing Wang, M.Sc. University of Virginia Charlottesville, VA, USA |
| 6 |
Breath-Hold MRCP Using Accelerated 3D-Spiral Turbo Spin-Echo Imaging | John P. Mugler, III, Ph.D. University of Virginia Charlottesville, VA, USA |
| 7 |
A Dual-Bandwidth RARE Dixon Sequence | Henric Rydén, M.Sc. Karolinska Institutet Solna, Sweden |
| 8 |
PSST: Parameter-mapping Swift & SilenT | Florian Wiesinger, Ph.D. GE Healthcare Munich, Germany |
| 9 |
Reducing k-Space Gaps of Golden Angle-Rotated Spiral MRI Binned into Cardiac Frames Applied to Phase Contrast Flow Measurements of the Coronary Arteries | Dan Zhu, Ph.D. Candidate Johns Hopkins University Baltimore, MD, USA |
| 10 |
Optimizing Trajectory Ordering for Faster Small-Tip Center-Out Radial Gradient Echo (GRE) | Xucheng Zhu, B.S. University of California, San Francisco San Francisco, CA, USA |
| 11 |
Sliding-Slab Profile Encoding (SLIPEN) for Eliminating Slab Boundary Artifact in Three-Dimensional Multi-Slab Diffusion-Tensor Imaging | Xiaoxi Liu, Ph.D. Candidate The University of Hong Kong Hong Kong, China |
| 12 |
3D-Spiral MRI for Lung Structure & Function | Matthew Willmering, Ph.D. Cincinnati Children's Hospital Medical Center Cincinnati, OH, USA |
| 13 |
VIEWS: Volumetric Image Encoding Without k-Space | Joseba Alonso, Ph.D. MRILab, Institute for Molecular Imaging & Instrumentation Valencia, Spain |
| 14 |
An EPI Sampling Trajectory with ACS Lines in Each Shot | Yuxin Hu, M.Sc. Stanford University Stanford, CA, USA |
| 15 |
The SILVER Method: An Improvement upon Radial Golden Ratio Sampling Within a Specified Window Size | Sophie Schauman, B.Sc. University of Oxford Oxford, England, UK |
| 16 |
Data-Driven Design of the Sampling Pattern for Compressed Sensing & Low-Rank Reconstructions on Parallel MRI of Human Knee Joint | Marcelo V.W. Zibetti, Ph.D. New York University New York, NY, USA |
| 17 |
A Plug-and-Play Method with Learned Denoiser for Accelerated Cardiac MRI | Sizhuo Liu, M.Sc. Ohio State University Columbus, OH, USA |
| 18 |
Fast CSF-Corrected Macromolecular Proton Fraction Mapping for Accurate Assessment of Gray Matter Myelination | Alexey Samsonov, Ph.D. University of Wisconsin Madison, WI, USA |
| 19 |
Using Subject-Specific Previous MR Images to Improve Follow-Up Scan Reconstruction: Initial Results on a Cohort of Normative Subjects | Roberto Souza, Ph.D. University of Calgary Calgary, AB, Canada |
| 20 |
Advances in Nonlinear Model-Based Reconstruction Methods for Quantitative MRI | Nick Scholand, M.Sc. University of Göttingen Göttingen, Germany |
| 21 |
Tensor Signal Enhancement & Optimal Multi-Channel Receiver Combination Analyses for Human Hyperpolarized 13C MRI | Hsin-Yu Chen, Ph.D. University of California, San Francisco San Francisco, CA, USA |
| 22 |
Self-Calibrated Interpolation of Non-Cartesian Data (SING) for 3D Stack-of-Stars Acquisition | Seng-Wei Chieh, M.Sc. University of Minnesota Minneapolis, MN, USA |
| 23 |
Utilizing the Structure of the Wavelet Transform when Choosing the Fully Sampled Region for Compressed Sensing | Nicholas Dwork, Ph.D. University of California, San Francisco San Francisco, CA, USA |
| 24 |
Weighted-Nuclear-Norm Minimization for Multi-Shot Diffusion-Weighted MRI Reconstruction | Yuxin Hu, M.Sc. Stanford University Stanford, CA, USA |
| 25 |
Versatile Parameter-Free Compressed Sensing MRI with Approximate Message Passing | Charles Millard, M.Sc. University of Oxford Oxford, England, UK |
| 26 |
Model-Consistent, Self-Correcting Reconstruction for Accelerated Parameter Mapping | Julia Velikina, Ph.D. University of Wisconsin - Madison Madison, WI, USA |
| 27 |
Stable Iterative Calculation of Sampling Density Compensation | Holger Eggers, Ph.D. Philips GmbH Innovative Technologies Hamburg, Germany |
| 28 |
Trajectory Correction in High-Resolution Ultrashort Echo-Time (UTE) Imaging Based on the Gradient Impulse Response Function (GIRF) Improves MSK Image Quality | Sophia Kronthaler, M.Sc. Technical University of Munich Munich, Germany |
| 29 |
3D MRSI Accelerated with Random Sampling & Reconstructed with Low-Rank TGV Model at 7T Ultra-High Field | Antoine Klauser, Ph.D. A.A. Martinos Center for Biomedical Imaging Charlestown, MA, USA |
| 30 |
Reconstruction of Asynchronously Acquired Cardiac-Tagged Images | Michael Loecher, Ph.D. Stanford University Stanford, CA, USA |
| 31 |
Segmented Diffusion Imaging with Iterative Motion Corrected Reconstruction (SEDIMENT) for Self-Navigated Brain Echo-Planar Imaging at 7T | Malte Steinhoff, M.Sc. University of Lübeck Lübeck, Germany |
| 32 |
Multiband First-Pass Perfusion MRI Using k-t Slice-SPARSE SENSE | Changyu Sun, Ph.D. University of Virginia Charlottesville, VA, USA |
| 33 |
Learning-based Optimization of the Under-sampling PattErn with Straight-Through Estimator (LOUPE-ST) for Fast MRI | Jinwei Zhang, B.Sc. Cornell University New York, NY, USA |
| 34 |
Improved Off-Resonance Estimation to Deblur Spiral Images Using a Two-Echo Acquisition | Tzu-Cheng Chao, Ph.D. Mayo Clinic Rochester, MN, USA |
| 35 |
Segmented Acquisition of 2D T2-Weighted FSE Multislice to Reduce Motion Artifact in Reformatted Images: Application to Prostate MRI | Soudabeh Kargar, Ph.D. Mayo Graduate School Madison, WI, USA |
| 36 |
MR SIGnature MAtching (MRSIGMA) with Motion Baseline Drift Adaptation for Real-Time Volumetric Motion Tracking | Nathanael Kim, B.A. Memorial Sloan Kettering Cancer Center New York, NY, USA |
| 37 |
Target-Driven Acquisition & Super-Resolved Parallel Imaging Reconstruction Directly from Undersampled k-Space Measurements | Nikolai Mickevicius, Ph.D. Medical College of Wisconsin Milwaukee, WI, USA |
| 38 |
Exploiting Multi-Scale Image Features for Accelerating Magnetic Resonance Imaging | Ukash Nakarmi, Ph.D. Stanford University Stanford, CA, USA |
| 39 |
Gridding-Based Blur Correction for View-Angle Tilting in Multispectral Imaging | Alexander Toews, B.Sc. Stanford University Stanford, CA, USA |
| 40 |
Theoretical Performance of Model-Based Echo Planar Image Reconstruction | Uten Yarach, Ph.D. Mayo Clinic Rochester, MN, USA |
| 41 |
Fast Convolutional Framework for Accelerated Magnetic Resonance Imaging | Shen Zhao, M.Sc. The Ohio State University Columbus, OH, USA |
| 42 |
Local & Global Concatenation Network for MR Image Reconstruction | Zechen Zhou, Ph.D. Philips Research North America Seattle, WA, USA |
| 43 |
Deep Learning Field Map Estimation with Model-Based Image Reconstruction for Off-Resonance Correction of Brain Images Using a Spiral Acquisition | Melissa Haskell, Ph.D. University of Michigan Ann Arbor, MI, USA |
| 44 |
Deep Model-Based Network for Fast MR Parameter Map Reconstruction | Yohan Jun, B.Sc. Yonsei University Seoul, South Korea |
| 45 |
Free-Breathing Abdominal Fat Spectroscopy with Multi-Echo Rosette k-Space Sampling | Suma Anand, M.Eng. University of California, Berkeley Berkeley, CA, USA |
| 46 |
Physics Considerations for Deep Learning-Based Slab Combination of 3D Multi-Slab Fast Spin Echo | Sampada Bhave, Ph.D. Medical College Wisconsin Milwaukee, WI, USA |
| 47 |
Deep Learning Motion Compensation for Cartesian & Spiral Trajectories | Quan Dou, B.Eng. University of Virginia Charlottesville, VA, USA |
| 48 |
k-t SANTIS: Subspace-Augmented Neural neTwork with Incoherent Sampling for Dynamic Image Reconstruction | Fang Liu, Ph.D. Harvard Medical School Boston, MA, USA |
| 49 |
Calibrationless Parallel MRI Reconstruction Using Model-Based Deep Learning | Aniket Pramanik, Ph.D. The University of Iowa Iowa City, IA, USA |
| 50 |
Self-Supervised Dynamic MR Image Reconstruction with a Sequence-to-Sequence NUFFT-CNN | Tullie Murrell, B.Sc. Facebook AI Research Menlo Park, CA, USA |
| 51 |
Multi-Shot Diffusion-Weighted MRI Reconstruction Using Deep Learning | Yuxin Hu, M.Sc. Stanford University Stanford, CA, USA |
| 52 |
Learning a Variational Network for Noise Removal & Sparse Sampling Reconstruction in 0.55T Brain MRI | Patricia Johnson, Ph.D. New York University New York, NY, USA |
| 53 |
Just Another CNN in K-space to De-Alias N Individual Excited Locations Simultaneously (JACKDANIELS) | Sampada Bhave, Ph.D. Medical College Wisconsin Milwaukee, WI, USA |
| 54 |
MRI Banding Removal via Adversarial Machine Learning | Aaron Defazio, Ph.D. Facebook AI Research New York, NY, USA |
| 55 |
Deep Learning-Based Reconstruction for Radial MRI Using Magnitude & Phase Dense U-Nets | Shu-Fu Shih, M.Sc. University of California, Los Angeles Los Angeles, CA, USA |
| 56 |
Self-Supervised Model-Based Deep Learning Reconstruction for Undersampled Free-Breathing Stack-of-Stars Acquisitions | Nikolai Mickevicius, Ph.D. Medical College of Wisconsin Milwaukee, WI, USA |
| 57 |
MAgnitude-regularized Phase Estimation (MAPE) with U-Net Support for Self-Avigated Multi-Shot Echo-Planar DWI in the Brain | Malte Steinhoff, M.Sc. University of Lübeck Lübeck, Germany |
| 58 |
Magnetic Resonance Phase Synthesis from Magnitude Images Using Deep Learning with a Generative Adversarial Network (GAN) | James Goldfarb, Ph.D. St. Francis Hospital Roslyn, NY, USA |
| 59 |
Application of Supervised, Unsupervised & Semi-Supervised Deep Learning for Image Reconstruction in Water/Fat Separation Problem | Ramin Jafari, M.Sc. Cornell University New York, NY, USA |
| 60 |
Paired to Unpaired Wasserstein GANs for MRI Reconstruction | Ke Lei, B.Sc. Stanford University Stanford, CA, USA |
| 61 |
Learning How to Clean Fingerprints: Deep Learning-Based Separated Artefact Reduction & Regression for MR Fingerprinting | Yiling Xu, B.Eng. Friedrich-Alexander-Universität Erlangen-Nürnberg Erlangen, Germany |
| 62 |
Combined PRF & T1-Based 3D Thermometry with High Spatiotemporal Resolution Using a Stack-of-Radial Technique | Le Zhang, Ph.D. University of California, Los Angeles Los Angeles, CA, USA |
| 63 |
Signal Processing & Singular Value Decomposition (SVD) for Improved Quantification of Hyperpolarized [2-13C]Pyruvate to [5-13C]Glutamate Conversion | Brian T. Chung, M.Sc. University of California, San Francisco San Francisco, CA, USA |
| 64 |
USPIO-Enhanced Imaging of Mediastinal Lymph Nodes in Esophageal Cancer with Sparse Radial MRI | Ivo Maatman, M.Sc. Radboud University Medical Center Nijmegen, The Netherlands |
| 65 |
Improving Breast DCE-MRI Image Quality with GRASP-Pro | Jonghyun Bae, M.Sc. New York University New York, NY, USA |
| 66 |
Pseudo-Test-Retest Evaluation of Sparse DCE-MRI of Brain Tumor | Yannick Bliesener, M.Sc. University of Southern California Los Angeles, CA, USA |
| 67 |
Perceptual Quality Assessment with Radiologist-Labeled Optimum | Ke Lei, B.Sc. Stanford University Stanford, CA, USA |
| 68 | Withdrawn | |
| 69 |
A Fast & Memory-Efficient Visualization Framework for Large-Scale Volumetric Dynamic MRI Reconstructed with Low-Rank Methods | Nien Sin (Cedric) Yue Sik Kin, M.Eng. Stanford University Stanford, CA, USA |
| 70 |
Quantitative T2 Mapping Using Accelerated 3D Stack-of-Spiral GRE Acquisition | Ruoxun Zi, B.Sc. Johns Hopkins University Baltimore, MD, USA |