SCMR/ISMRM Co-Provided Workshop: Session 3: Machine Learning Based Reconstruction

2/6/2019

1:00 PM - 2:40 PM

Location: Regency ABCD

Speaker(s)

Mariya Doneva, PhD

Senior Scientist
Philips Research

Presenter(s)

Niccolo Fuin, PhD

RESEARCH ASSOCIATE
King's College London
Seyed Amir Hossein Hosseini, MSc, BSc

Student
University of Minnesota
Christopher Sandino, MSc

Ph.D. Student
Stanford University
Nicole Seiberlich, PhD

Associate Professor
Case Western Reserve University

Speaker(s)

Daniel Sodickson, MD, PhD

Vice Chair for Research
NYU School of Medicine
MU

Martin Uecker, PhD

Professor
University Medical Center Göttingen and German Centre for Cardiovascular Research (DZHK)

Author Only(s)

AB

Aurelien Bustin, PhD

Research Associate
King's College London
JH

Jesse Hamilton, PhD

Research Associate
Case Western Reserve University
PL

Peng Lai, PhD

Scientist
GE Healthcare
SM

Steen Moeller, PhD

Assistant Professor
University of Minnesota
René Botnar, PhD, FSCMR

Chair of Cardiovascular Imaging
King's College London
DC

Danielle Currey

Undergraduate Research Assistant
The Johns Hopkins University
MJ

Martin Janich, PhD

Manager
GE Healthcare
Sebastian Weingärtner, PhD

Post-Doctoral Associate
University of Minnesota
AB

Anja Brau, PhD

General Manager
GE Healthcare
MG

Mark Griswold, PhD

Professor
Case Western Reserve University; University Hospitals
CP

Claudia Prieto, PhD

Reader
School of Biomedical Engineering and Imaging Sciences, King's College London
KU

Kâmil Uğurbil, PhD

Director / Professor
Center for Magnetic Resonance Research, University of Minnesota
MA

Mehmet Akçakaya, PhD

Assistant Professor
Electrical and Computer Engineering, University of Minnesota; Center for Magnetic Resonance Research, University of Minnesota
SV

Shreyas Vasanawala, MD

Professor
Stanford University
Joseph Cheng, PhD

Instructor
Stanford University

Presentations:

1:00 PM - 1:20 PM
Model-based learning for CMR reconstruction: Dictionaries, kernels and manifolds
Mariya Doneva, PhD – Philips Research
1:20 PM - 1:40 PM
Data-driven learning with neural networks for CMR reconstruction
Daniel K. Sodickson, MD, PhD – NYU School of Medicine
1:40 PM - 2:00 PM
Learning to reconstruct: Comparison to existing methods, new paradigms and challenges
Martin Uecker, PhD – University Medical Center Göttingen and German Centre for Cardiovascular Research (DZHK)
2:00 PM - 2:10 PM
ESPIRiT with deep priors: Accelerating 2D cardiac CINE MRI beyond compressed sensing
Christopher M. Sandino, MSc – Stanford University; Peng Lai, PhD – GE Healthcare; Martin A. Janich, PhD – GE Healthcare; Anja C.S. Brau, PhD – GE Healthcare; Shreyas S. Vasanawala, MD – Stanford University; Joseph Y. Cheng, PhD – Stanford University
2:10 PM - 2:20 PM
Using a Shallow Neural Network to Rapidly Generate Cardiac MR Fingerprinting Dictionaries for Arbitrary Heart Rhythms
Nicole Seiberlich, PhD – Case Western Reserve University; Jesse I. Hamilton, PhD – Case Western Reserve University; Danielle Currey – The Johns Hopkins University; Mark Griswold, PhD – Case Western Reserve University; University Hospitals
2:20 PM - 2:30 PM
Accelerated coronary MRI using SPIRiT-RAKI with gradient descent-based self-consistency
Seyed Amir Hossein Hosseini, MSc, BSc – University of Minnesota; Steen Moeller, PhD – University of Minnesota; Sebastian Weingärtner, PhD – University of Minnesota; Kâmil Uğurbil, PhD – Center for Magnetic Resonance Research, University of Minnesota; Mehmet Akçakaya, PhD – Electrical and Computer Engineering, University of Minnesota; Center for Magnetic Resonance Research, University of Minnesota
2:30 PM - 2:40 PM
A Variational Neural Network for Whole-Heart Coronary MRA Reconstruction.
Niccolo Fuin, PhD – King's College London; Aurelien Bustin, PhD – King's College London; René Michael Botnar, PhD, FSCMR – King's College London; Claudia Prieto, PhD – School of Biomedical Engineering and Imaging Sciences, King's College London