ISMRM 2023 Workshop on Data Sampling & Image Reconstruction

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ISMRM Workshop on

Data Sampling & Image Reconstruction

08-11 January 2023

Enchantment Resort, Sedona, AZ, USA

Thank you for a great workshop!

Presentation recordings are available below.

Organizers

Chair:
James Pipe, Ph.D.

Registration & Travel

Registration is Closed

Travel Information

Sustainability

ISMRM Sustainability Initiatives

Supporters & Declarations

Magnetic Resonance in Medicine virtual issue on
Data Sampling & Image Reconstruction

For Attendees

Program Options:
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Abstracts for Posters

Guidelines for Presenters & Posters

Special Abstract Category:
Standards & Benchmarks

Overview & Program

Workshop Overview

The workshop will be the 6th in a series of Sedona workshops (previously held 2007, 2009, 2013, 2016, and 2020), and updated to reflect new trends in MRI, but keeping many of the successful elements of the previous workshops. This workshop will continue to explore the practical boundaries of new and unconventional methods for collecting data (pulse sequences) and for reconstructing images from that data. This will include constrained reconstruction such as compressed sensing, AI-assisted reconstruction, quantitative imaging, image evaluation and reproducibility, non-Cartesian methodologies, and parallel imaging. The workshop will explore the challenges to these methods, how to measure and characterize them, and methods (both available and necessary to develop) to overcome them. In addition to invited scientific presentations, the program will include proffered papers and poster presentations.

Target Audience

Technical researchers who are developing next-generation methods in data sampling and reconstruction.

Educational Objectives

Upon completion of this activity, participants should be able to:

Explain the rationale for collecting MRI data in different sampling patterns;
Describe at least three ways to reconstruct incomplete data;
Predict how upcoming changes in data sampling and reconstruction may alter the practice of radiology;
Explain the need for a better framework for evaluating new technology and give three examples of possible components of that framework; and
Identify four different types of quantitative MRI methods.

Program

Videos, abstracts & syllabi linked below are available to registered attendees only.

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Abstracts for Posters

Registration & Setup - Sunday, 08 January 2023

16:00

Registration & Speaker Upload Available

18:00

Opening Reception/Dinner

Day 1 - Monday, 09 January 2023

07:00

Registration & Speaker Upload Available
Breakfast

Session 1: The Past, Present & Future of MRI

Moderators: Peter Börnert, Ph.D. & Nicole E. Seiberlich, Ph.D.

08:00

Welcome

James Pipe, Ph.D.
Mayo Clinic
Rochester, MN, USA

08:10

Image Reconstruction After 16 Years of Sedona: Are We Moving the Needle?

Peter Börnert, Ph.D. &
Nicole E. Seiberlich, Ph.D.

08:40

What MRI Needs To Be in 20 Years: A Clinical Perspective on New Imaging Paradigms

Tim Leiner, M.D., Ph.D.
Mayo Clinic
Rochester, MN, USA

09:10

What MRI Can Be in 20 Years: A Technical Perspective on New Imaging Technology

Lawrence Wald, Ph.D.
Athinoula A. Martinos Center for Biomedical Imaging
Charlestown, MA, USA

09:40

Discussion

10:00

Coffee Break

Session 2: Mathematics of Machine Learning & Model-Based Reconstruction

Moderator: Martin Uecker, Ph.D.

10:30

Introduction to Inverse Problems

Andreas Hauptmann, Ph.D.
University of Oulu
Oulu, Finland

11:00

Learning Unrolled Algorithms

Burhaneddin Yaman, Ph.D.
University of Minnesota
Minneapolis, MN, USA

Proffered Papers - Oral Session

11:30

MRI Sampling Patterns Learned with Variational Information Maximization

Cagan Alkan, M.Sc.
Stanford University
Stanford, CA, USA

11:36

Motion Robust Reconstruction with Score-Based Generative Models

Brett Levac, B.Sc.
University of Texas at Austin
Austin, TX, USA

11:42

Enhancing GRASP with Locally Low-Rank Subspace Constraint: Towards Sub-Second DCE Resolution

Eddy Solomon, Ph.D.
Weill Cornell Medicine
New York, NY, USA

11:48

Universal K-Space Interpolation Network for Non-Cartesian CINE Imaging

Wenqi Huang, M.Sc.
Technical University of Munich
Munich, Germany

11:54

Discussion

12:00

Motion Compensated Multi-Contrast MRI Using Deep Factor Model

Yan Chen, Ph.D. Student
University of Iowa
Iowa City, IA, USA

12:06

RT-NLINV-Net: Improved Temporal Resolution & Reconstruction Quality of Radial Cardiac Real-Time MRI via Self-Supervised Learning

Moritz Blumenthal, M.Sc.
Graz University of Technology
Graz, Austria

12:12

K-Band: Training Self-Supervised Reconstruction Networks Using Limited-Resolution Data

Frederic Wang, B.Sc.
University of California, Berkeley
Berkeley, CA, USA

12:18

SNR-Enhancing Spatiospectral Reconstruction Using Plug & Play Denoiser from Self-Supervised Training

Ruiyang Zhao, B.Sc.
University of Illinois Urbana-Champaign
Urbana, IL, USA

12:24

Discussion

12:30

Boxed lunch & afternoon break

Session 3: Post-Cartesian Imaging

Moderators: Adrienne E. Campbell-Washburn, Ph.D. & Julia V. Velikina, Ph.D.

16:00

Non-Cartesian Imaging: A Practical Guide to Implementation & Artifacts

Kevin M. Johnson, Ph.D.
University of Wisconsin - Madison
Madison, WI, USA

16:30

New Things We Can See with Non-Cartesian Imaging

Vivek Muthurangu, M.D.
University College London
London, England, UK

Proffered Papers - Oral Session

17:00

Optimizing Non-Cartesian Sampling Patterns via Gradient Methods

Guanhua Wang, M.Sc.
University of Michigan
Ann Arbor, MI, USA

17:06

Single Shot Spiral TSE

Juergen Hennig, Ph.D.
University Medical Center Freiburg
Freiburg, Germany

17:12

Patient-Centric Sequence Design: Reducing the Other Noise

Abdul Rahman Alfayad, B.Sc.
Mayo Clinic
Rochester, MN, USA

17:18

Efficient 3D Cone Trajectory for Improved Combined Angiographic & Perfusion Imaging Using Arterial Spin Labelling

Qijia Shen, Ph.D. Student
University of Oxford
Oxford, England, UK

17:24

Discussion

17:30

SSCUTE: 3D Spiral Staircase UTE Sequence for Thermometry of Frozen Tissue During MRI-Guided Cryoablation

Guruprasad Krishnamoorthy, Ph.D.
Philips Healthcare; Mayo Clinic
Rochester, MN, USA

17:36

Low-Latency Non-Cartesian Rt-MRI Reconstruction Using a Causal Variational Network

Prakash Kumar, B.Sc.
University of Southern California
Los Angeles, CA, USA

17:42

BladeNet: An Acquisition-Reconstruction Framework for Free-Breathing Dynamic MRI

Efrat Shimron, Ph.D.
University of California, Berkeley
Berkeley, CA, USA

17:48

Wave Encoded Neurovascular 4D Flow Using Learned Sampling

Chenwei Tang, B.Sc.
University of Wisconsin-Madison
Madison, WI, USA

17:54

Discussion

18:00

Dinner

Session 4: Getting on the Same Page

Moderators: James Pipe, Ph.D. & Martin Uecker, Ph.D.

19:30

Reproducible Research

Florian Knoll, Ph.D.
Friedrich Alexander Universität Erlangen Nürnberg
Erlangen, Germany

Proffered Papers - Oral Session

20:00

Standardization of Containerized “MRD Apps” for Reproducible & Deployable Research

Kelvin Chow, Ph.D.
Siemens Medical Solutions USA, Inc.
Chicago, IL, USA

20:04

Quantifying 3D-MRF Reproducibility Across Subjects, Sessions, & Scanners Automatically Using MNI Atlases

Andrew Dupuis, B.Sc.
Case Western Reserve University
Cleveland, OH, USA

20:08

MRI Workflows for Measurement: Blackbox, Graybox, & Glassbox Benchmarks on Reproducibility

Agah M. Karakuzu, Ph.D.
Polytechnique Montreal
Montreal, QC, Canada

20:12

Fully Automated Online Reconstruction, Registration, & Analysis Pipeline for 3D Magnetic Resonance Fingerprinting

Andrew Dupuis, B.Sc.
Case Western Reserve University
Cleveland, OH, USA

20:16

Discussion

20:20

Ad Hoc ISMRM Committee for Standardized Measures & Benchmarks

Scott B. Reeder, M.D., Ph.D.
University of Wisconsin
Madison, WI, USA

Proffered Papers - Oral Session

20:40

Intrinsic Reproducibility Issues in Deep Learning-Based MR Reconstruction

Chungseok Oh, B.Sc.
Seoul National University
Seoul, South Korea

20:44

Task-Based Assessment of Image Quality for Magnetic Resonance Imaging

Angel Pineda, Ph.D.
Manhatten College
Riverdale, NY, USA

20:48

SSIM – Robustness of the Image Quality Metric

Sophie Schauman, D. Phil
Stanford University
Stanford, CA, USA

20:52

Discussion

20:56

Roundtable Discussion

21:30

Adjourn

Day 2 - Tuesday, 10 January 2023

07:00

Speaker Upload Available
Breakfast

Session 5: Quantitative Imaging

Moderators: Sebastian Kozerke, Ph.D. & Nicole E. Seiberlich, Ph.D.

08:00

Quantitative Imaging is the Future!

Jessica A.M. Bastiaansen, Ph.D.
University of Bern
Bern, Switzerland

08:30

Quantitative Imaging will not Completely Replace Weighted Imaging

Joseph V. Hajnal, Ph.D.
King's College London
London, England, UK

Proffered Papers - Oral Session

09:00

Nonlinear Inversion of the Bloch Equations for Quantitative MRI

Nick Scholand, M.Sc.
Graz University of Technology, Institute of Biomedical Imaging
Graz, Austria

09:06

A Fast High-Resolution Mt-Corrected T1 Mapping Technique Using a Radial Inversion Recovery Spgr Pulse Sequence

Zhitao Li, Ph.D.
Stanford University
Stanford, CA, USA

09:12

Free-Breathing 3D Stack-of-Spiral Cardiac Quantitative Susceptibility Mapping for Cardiac Chamber Oxygenation

Jiahao Li, M.Sc.
Cornell University
New York, NY, USA

09:18

Deep Subspace Reconstruction with Zero-Shot Learning for Multiparametric Quantitative MRI

Yohan Jun, Ph.D.
Athinoula A. Martinos Center for Biomedical Imaging
Charlestown, MA, USA

09:24

Discussion

09:30

Self-Calibrated Subspace Reconstruction Using Temporally Local Matrix Completion for Multidimensional MR Fingerprinting

Zhilang Qiu, Ph.D.
Case Western Reserve University
Cleveland, OH, USA

09:36

Selective Encoding Through Nutation & Fingerprinting (SENF) Using Quadratic RF Phase Modulation & the Bloch-Siegert Shift

Christopher Vaughn, M.Sc.
Vanderbilt University
Nashville, TN, USA

09:42

Improved T1/T2/PDFF Rosette Cardiac MRF Using Virtual-Coil + Low-Rank + Patch-Based Regularization

Gastao Cruz, Ph.D.
University of Michigan
Ann Arbor, MI, USA

09:48

Simultaneous T1 T2 T2* Quantification Using 2D Epi-Mrf by Shuffled Sampling & Compressed Time-Resolved Reconstruction with Self B0 B1+ Correction

Di Cui, Ph.D.
University of California, San Francisco
San Francisco, CA, USA

09:54

Discussion

10:00

Coffee Break

Session 6: Proffered Papers

Moderators: Peter Börnert Ph.D.& Julia V. Velikina, Ph.D.

10:30

A Motion-Robust, Short-TR Alternative to Multi-Echo SPGR

Peter Lally, Ph.D.
Imperial College London
London, England, UK

10:36

Distortionless, Free-Breathing, & Respiratory Resolved 3D Diffusion Weighted Imaging of the Abdomen

Philip Lee, Ph.D., M.Sc., B.Sc.
Stanford University
Stanford, CA, USA

10:42

Water/Fat Separated Navigator-Free Multi-Shot Diffusion-Weighted EPI Using Structured Low-Rank Reconstruction

Yiming Dong, M.Sc.
Leiden University Medical Center
Leiden, The Netherlands

10:48

Discussion

10:54

Water/Fat Separation with Spatio-Temporal Epi-Based Acquisition & Reconstruction in Body Imaging

Xuetong Zhou, B.Sc.
Stanford University
Stanford, CA, USA

11:00

Rapid 3D Lung Imaging with bSSFP Stack-of-Spiral Out-In (SoSoi) Sampling at 0.55T

Ye Tian, Ph.D.
University of Southern California
Los Angeles, CA, USA

11:06

Temporally Efficient High-SNR, High-Contrast, Volumetric T1W FLAIR Enabled by LQ Encoding

Dahan Kim, Ph.D.
Mayo Clinic
Rochester, MN, USA

11:12

SNR-Driven Imaging Using Closed-Loop Feedback Between Image Reconstruction & Acquisition

Rajiv Ramasawmy, Ph.D.
National Institutes of Health
Bethesda, MD, USA

11:18

Discussion

11:26

Break

11:34

Towards Rapid & Accurate Navigators for Motion & B0 Tracking Using QUEEN (Quantitatively-Enhanced Parameter Estimation from Navigators)

Yannick Brackenier, M.Sc.
Stanford University
Stanford, CA, USA

11:40

Improved Structured Low-Rank Reconstruction for 3D Multi-Shot EPI with Joint Motion Modelling

Xi Chen, M.Sc.
University of Oxford
Oxford, England, UK

11:46

Accelerated Imaging of Airway Collapse in Obstructive Sleep Apnea with Variable Density Spirals & Variational Manifold Learning

Wahidul Alam, B.Sc.
University of Iowa
Iowa City, IA, USA

11:52

Discussion

12:00

Radial Stack-of-Stars Abdominal MRI at 7 Tesla

Ivo Maatman, M.Sc.
Radboud University Medical Center
Nijmegen, The Netherlands

12:06

Multi-Echo RF Spatial Phase Encoding for Gradient-Free Imaging in a Nonuniform B0-Field at Low-Field

Kartiga Selvaganesan, M.Sc.
Yale University
New Haven, CT, USA

12:12

A Multiplexed Auto-Focusing Framework for Spiral MRI with Parallel Imaging

Tzu Cheng Chao, Ph.D.
Mayo Clinic
Rochester, MN, USA

12:18

Metabolite-Specific 3D bSSFP Sequences for Hyperpolarized MRI

Xiaoxi Liu, Ph.D.
University of California, San Francisco
San Francisco, CA, USA

12:24

Discussion

12:30

GE Presentation

12:45

Subtle Medical Inc. Presentation

13:00

Boxed lunch & afternoon break

Session 7: Outdoor Poster Session

Moderator: Julia V. Velikina, Ph.D.

16:00

Outdoor Poster Session

18:00

Dinner

Session 8: Objective Goodness

Moderators: Jakob Assländer, Ph.D. & Sebastian Kozerke, Ph.D.

19:30

Oh My Contrast: Information in Contrast Dimensions

Daniel F. Gochberg, Ph.D.
Vanderbilt University Medical Center
Nashville, TN, USA

20:00

Encoding & Decoding: Information in Spatiotemporal Domains

Joshua D. Trzasko, Ph.D.
Mayo Clinic
Rochester, MN, USA

20:30

Guess My Case: Radiologists at Work

Vikas Gulani, M.D., Ph.D.
Chris Hess, M.D., Ph.D.
Tim Leiner, M.D., Ph.D.
Scott. B. Reeder, M.D., Ph.D.

21:30

Adjourn

Day 3 - Wednesday, 11 January 2023

07:00

Breakfast

Session 9: Bringing MRI to More People

Moderators: Jakob Assländer, Ph.D. & Adrienne E. Campbell-Washburn, Ph.D.

08:00

Managing Complexity & Challenging Perceptions

James Pipe, Ph.D.
Mayo Clinic
Rochester, MN, USA

08:30

Technical Requirements for Point-of-Care MRI

William A. Grissom, Ph.D.
Vanderbilt University
Nashville, TN, USA

09:00

Unmet Needs That MRI Can Address

Daniel K. Sodickson, M.D., Ph.D.
New York University Grossman School of Medicine
New York, NY, USA

09:30

Ideas To Take Home: Unmet Needs/Future Opportunities

Mark Griswold, Ph.D.
Vikas Gulani, M.D., Ph.D.
Jürgen Hennig, Ph.D.
Scott Reeder, M.D., Ph.D.
Klaus Scheffler, Ph.D.
Nicole Seiberlich, Ph.D.
Lawrence Wald, Ph.D.

10:00

Coffee Break, Checkout

Session 10: Wrap-Up

Moderators: James Pipe, Ph.D. & Nicole E. Seiberlich, Ph.D.

10:45

Poster Awards

Julia V. Velikina, Ph.D.

11:00

Discussion About Important Things

Everyone

12:00

Boxed lunch & adjourn

🡄 Return to Future Workshops Page | Questions? Contact us at info@ismrm.org.

The International Society for Magnetic Resonance in Medicine is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.

The ISMRM is committed to:

Ensuring balance, independence, objectivity and scientific rigor in all educational activities; and
Presenting activities that promote improvements or quality in healthcare and are independent of commercial interests.

Therefore, it is the policy of the Society that any person who has influence over the content of an educational activity must disclose any real or apparent financial interest or other relationship (i.e., grant, research support, consulting fee, royalty, honorarium for promotional speakers’ bureau, ownership interest) that the individual may have with the manufacturers, distributors or providers of any commercial products or services that may be discussed in the presentation.

The ISMRM does not imply that such financial interests or relationships are inherently improper or that such interests or relationships would prevent the speaker or organizer from making an objective contribution. However, it is imperative that such financial interests or relationships be identified so that potential conflicts can be resolved before the program, and participants at the activity may have these facts fully disclosed in advance. It then remains for the audience to determine whether an individual’s outside interests may reflect a possible bias in either the exposition or the conclusions presented.

Following are the names of all speakers, committee members and other organizers who had influence over the program content. If individuals have disclosed real or apparent financial interests or relationships with regard to the subject matter of this meeting, the interests or relationships are described. All potentially relevant relationships have been mitigated appropriately.

Invited Faculty
Jessica A.M. Bastiaansen, Ph.D.	No relationships to disclose
Daniel F. Gochberg, Ph.D.	No relationships to disclose
William A. Grissom, Ph.D.	Consulting Fee: Medtronic, Promaxo
Mark A. Griswold, Ph.D.	Disclosure not provided
Vikas Gulani, M.D., Ph.D.	Grants/Research Support: Siemens; Consulting Fee: Cook Medical
Joseph V. Hajnal, Ph.D.	Disclosure not provided
Andreas Hauptmann, Ph.D.	No relationships to disclose
Jürgen K. Hennig, Ph.D.	No relationships to disclose
Chris Hess, M.D., Ph.D.	No relevant relationships to disclose
Jana Hutter, Ph.D.	No relationships to disclose
Kevin M. Johnson, Ph.D.	Grants/Research: General Electric
Florian Knoll, Ph.D.	No relevant relationships to disclose
Tim Leiner, M.D., Ph.D.	No relationships to disclose
Vivek Muthurangu, M.D.	No relationships to disclose
James Pipe, Ph.D.	Grants/Research Support: Philips
Scott B. Reeder, M.D., Ph.D.	No relevant relationships to disclose
Klaus Scheffler, Ph.D.	No relationships to disclose
Nicole E. Seiberlich, Ph.D.	No relevant relationships to disclose
Daniel K. Sodickson, M.D., Ph.D.	Grants/Research Support: Siemens, Hyperfine, Facebook AI Research; Consulting Fee & Ownership Interest: Ezra; Royalty-bearing agreement: Siemens
Joshua D. Trzasko, Ph.D.	No relevant relationships to disclose
Lawrence Wald, Ph.D.	Grants/Research Support: Siemens; Ownership Interest: Neuro42 Inc.
Burhaneddin Yaman, Ph.D.	No relationships to disclose

Organizers
Jakob Assländer, Ph.D.	No relationships to disclose
Peter Börnert, Ph.D.	Disclosure not provided
Adrienne E. Campbell-Washburn, Ph.D.	No relationships to disclose
Kerstin Hammernik, Ph.D.	No relationships to disclose
Sebastian Kozerke, Ph.D.	No relationships to disclose
James Pipe, Ph.D.	Grants/Research Support: Philips
Nicole E. Seiberlich, Ph.D.	No relevant relationships to disclose
Martin Uecker, Ph.D.	No relationships to disclose
Julia V. Velikina, Ph.D.	No relationships to disclose

Moderators
Jakob Assländer, Ph.D.	No relationships to disclose
Peter Börnert, Ph.D.	Disclosure not provided
Adrienne E. Campbell-Washburn, Ph.D.	No relationships to disclose
Sebastian Kozerke, Ph.D.	No relationships to disclose
James Pipe, Ph.D.	Grants/Research Support: Philips
Nicole E. Seiberlich, Ph.D.	No relevant relationships to disclose
Martin Uecker, Ph.D.	No relationships to disclose
Julia V. Velikina, Ph.D.	No relationships to disclose

Staff
Rhiannon Pinson	No relationships to disclose
Melissa Simcox	No relationships to disclose

Abstract Presenters
Wahidul Alam, B.Sc.	I have no relationships to disclose
Abdul Rahman Alfayad, B.Sc.	I have no relationships to disclose
Cagan Alkan, M.Sc.	I have no relationships to disclose
Yamin Arefeen, M.Sc.,	I have no relationships to disclose
Mark Armstrong, B.Sc.	I have no relationships to disclose
Moritz Blumenthal, M.Sc.	I have no relationships to disclose
Jose Borreguero, M.Sc.	Employment: Tesoro Imaging
Yannick Brackenier, M.Sc.	I have no relationships to disclose
Jacinta Browne, Ph.D., M.Ed.	I have no relationships to disclose
Fatih Calakli, Ph.D.	I have no relationships to disclose
Tzu Cheng Chao, Ph.D.	Grants/Research Support: Philips
Yan Chen, Ph.D. Student	I have no relationships to disclose
Xi Chen, M.Sc.	I have no relationships to disclose
Jaejin Cho, Ph.D.	I have no relationships to disclose
Kelvin Chow, Ph.D.	Employment: Siemens
Gastao Cruz, Ph.D.	Grants/Research Support: Siemens
Di Cui, Ph.D.	I have no relationships to disclose
Erpeng Dai, Ph.D.	Grants/Research Support: General Electric
Muller De Matos Gomes, Ph.D.	Consulting: Promaxo; Employment: Promaxo; Grants/Research Support: Promaxo;
Hector Lise de Moura, Ph.D.	I have no relationships to disclose
Omer Demirel, M.Sc.	Grants/Research Support: NIH R01HL153146, NIH P41EB027061, NIH R21EB028369, NSF CCF-1651825
Nikhil Deveshwar, Ph.D.	I have no relationships to disclose
Yiming Dong, M.Sc.	I have no relationships to disclose
Andrew Dupuis, B.Sc.	Grants/Research Support: Siemens
Sébastien Emery, M.Sc.	Grants/Research Support: SNF
Jesus Fajardo, Ph.D.	Grants/Research Support: Siemens
Li Feng, Ph.D.	I have no relationships to disclose
Sarah Garrow, B.Sc.	I have no relationships to disclose
Illias Giannakopoulos, Ph.D.	I have no relationships to disclose
Christina Grund, Ph.D.	Employment: Siemens
Jesse Hamilton, Ph.D.	Grants/Research Support: Siemens
Juergen Hennig, Ph.D.	I have no relationships to disclose
Siyuan Hu, B.Sc.	Grants/Research Support: Siemens; NIH grants EB026764-01, EB029658-02, and NS109439-02
Wenqi Huang, M.Sc.	I have no relationships to disclose
Tae Hyung Kim, Ph.D.	I have no relationships to disclose
Mathews Jacob, Ph.D.	Grants/Research Support: Canon Medical Systems
Ahsan Javed, Ph.D.	I have no relationships to disclose
Hwihun Jeong, M.Sc.	I have no relationships to disclose
Riwei Jin, Ph.D.	I have no relationships to disclose
Brandon Jones, B.Sc.	I have no relationships to disclose
Yohan Jun, Ph.D.	I have no relationships to disclose
Sydney Kaplan, B.Sc.	Grants/Research Support: Siemens
Agah M. Karakuzu, Ph.D.	I have no relationships to disclose
Lars Kasper, Ph.D.	I have no relationships to disclose
Dahan Kim, Ph.D.	Grants/Research Support: Philips
Rabea Klaar, M.Sc.	Grants/Research Support: Siemens
Guruprasad Krishnamoorthy, Ph.D.	Employment: Philips
Prakash Kumar, B.Sc.	Grants/Research Support: Siemens
Sidharth Kumar, M.Sc.	I have no relationships to disclose
Pete Lally, Ph.D.	I have no relationships to disclose
Patricia Lan, Ph.D.	Employment: General Electric
Philip Lee, Ph.D.,	Grants/Research Support: General Electric
Nam Lee, M.Sc.	Grants/Research Support: Siemens, The National Science Foundation #1828736
Brett Levac, B.Sc.	Grants/Research Support: Aspect Imaging
Zhitao Li, Ph.D.	Employment: Stanford University; Grants/Research Support: General Electric, NIH R01 EB009690, U01EB029427;
Jiahao Li, M.Sc.	I have no relationships to disclose
Congyu Liao, Ph.D.	I have no relationships to disclose
Xiaoxi Liu, Ph.D.	I have no relationships to disclose
Michael Loecher, Ph.D.	I have no relationships to disclose
Ivo Maatman, M.Sc.	I have no relationships to disclose
Alejandro Monreal Madrigal, M.Sc.	I have no relationships to disclose
Merry Mani, Ph.D.	I have no relationships to disclose
Anthony Mekhanik, M.Sc.	I have no relationships to disclose
Nolan Meyer, B.Sc.	I have no relationships to disclose
Nikolai Mickevicius, Ph.D.	Grants/Research Support: Siemens
Elizabeth Huaroc Moquillaza, M.Sc.	I have no relationships to disclose
Manuel Morales, Ph.D.	I have no relationships to disclose
Mahmoud Mostapha, Ph.D.	Employment: Siemens
Victor Murray, Ph.D.	I have no relationships to disclose
Chungseok Oh, B.Sc.	I have no relationships to disclose
Julio Oscanoa, M.Sc.	I have no relationships to disclose
Juhyung Park, M.Sc.	Grants/Research Support: Advanced MRI; Employment: Advanced MRI
Xi Peng, Ph.D.	I have no relationships to disclose
Angel Pineda, Ph.D.	I have no relationships to disclose
James Pipe, Ph.D.	Grants/Research Support: Philips
Carolin Pirkl, Ph.D.	Employment: General Electric
Joseph Plummer, M.Sc.	I have no relationships to disclose
Aniket Pramanik, B.Sc.	I have no relationships to disclose
Zhilang Qiu, Ph.D.	I have no relationships to disclose
Rajiv Ramasawmy, Ph.D.	I have no relationships to disclose
Christoph Rettenmeier, Ph.D.	I have no relationships to disclose
Malte Riedel, Ph.D.	I have no relationships to disclose
Meredith E. Sadinski, Ph.D.	Employment: Promaxo
Sophie Schauman, D. Phil.	Grants/Research Support: General Electric
Nick Scholand, M.Sc.	I have no relationships to disclose
Kartiga Selvaganesan, M.Sc.	Consulting: Promaxo
Qijia Shen, Ph.D. Student	I have no relationships to disclose
Shu-Fu Shih, M.Sc.	Grants/Research Support: Siemens
Efrat Shimron, Ph.D.	Grants/Research Support: General Electric
Syed Saad Siddiq, M.Sc.	I have no relationships to disclose
Kalina Slavkova, Ph.D.	I have no relationships to disclose
Eddy Solomon, Ph.D.	I have no relationships to disclose
Janis Stiegeler, Dr. rer. nat.	I have no relationships to disclose
Changyu Sun, Ph.D.	I have no relationships to disclose
Fei Tan, Ph.D.	I have no relationships to disclose
Zhengguo Tan, Ph.D.	Employment: Siemens
Chenwei Tang, B.Sc.	Grants/Research Support: General Electric; NIH R21NS125094, R01HL136965, & R01AG075788
Bilal Tasdelen, M.Sc.	I have no relationships to disclose
Ye Tian, Ph.D.	Grants/Research Support: Siemens
Dallas Turley, Ph.D.	Grants/Research Support: Philips; Employment: Philips
Gabriel Varela-Mattatall, Ph.D.	I have no relationships to disclose
Christopher Vaughn, M.Sc.	I have no relationships to disclose
Claudio Mayrink Verdun, M.Sc.	Employment: Technical University of Munich
Marc Vornehm, M.Sc.	Grants/Research: Siemens
Brian-Tinh Vu, B.Sc.	I have no relationships to disclose
Guanhua Wang, M.Sc.	I have no relationships to disclose
Frederic Wang, B.Sc.	Grants/Research: General Electric, General Electric Healthcare
Zhixing Wang, M.Sc.	I have no relationships to disclose
Dinghui Wang, Ph.D.	Grants/Research: Philips
Nan Wang, Ph.D.	I have no relationships to disclose
Xiaoqing Wang, Ph.D.	I have no relationships to disclose
Zhixing Wang, M.Sc.	I have no relationships to disclose
Xiaoqing Wang, Ph.D.	Grants/Research Support: NIH R01 EB032378, R01 EB028797, R03 EB031175, U01 EB025162, P41 EB030006, U01 EB026996
Xinzeng Wang, Ph.D.	Employment: General Electric
Matthew Willmering, Ph.D.	I have no relationships to disclose
Mark Wright, M.Sc.	I have no relationships to disclose
Zhe Wu, Ph.D.	I have no relationships to disclose
Jiaxin Xiao, B.Sc.	I have no relationships to disclose
Jiayao Yang, B.Sc.	I have no relationships to disclose
Yitong Yang, B.Sc.	I have no relationships to disclose
Mahmut Yurt, M.Sc.	I have no relationships to disclose
Rushdi Zahid Rusho, M.Sc.	I have no relationships to disclose
Chi Zhang, B.Sc.	I have no relationships to disclose
Jinwei Zhang, M.Sc.	I have no relationships to disclose
Ruiyang Zhao, B.Sc.	I have no relationships to disclose
Tianrui Zhao, M.Sc.	Grants/Research Support: NIH R01NS118019, RF1AG072490, and BrightFocus Foundation A20201411S
Xuetong Zhou, B.Sc.	I have no relationships to disclose
Zeyu Zhou, Ph.D.	Grants/Research Support: Philips
Marcelo Zibetti, Dr. Eng.	I have no relationships to disclose