SCMR/ISMRM Co-Provided Workshop

SCMR 22nd Annual Scientific Sessions

SCMR/ISMRM Co-Provided Workshop: Session 6: Motion Estimation, Compensation, and Analysis with ML

Presenter(s)

• 

  Mohammad Abdishektaei, MSc

  Graduate Student
  University of Virginia

Speaker(s)

• 

  Joseph Cheng, PhD

  Instructor
  Stanford University

Presenter(s)

• EF

  Edward Ferdian, MSc

  PhD Candidate
  University of Auckland
• 

  John Heerfordt

  PhD Student
  Lausanne University Hospital and University of Lausanne
• 

  Behzad Sharif

  Assistant Professor of Bioengineering & Medicine
  Cedars-Sinai Medical Center & UCLA

Speaker(s)

• 

  Sotirios Tsaftaris, PhD

  Reader (Associate Professor)
  The University of Edinburgh
• DW

  Daniel Weller, PhD

  Assistant Professor
  University of Virginia

Author Only(s)

• LD

  Lorenzo Di Sopra, MSc

  PhD student
  CHUV / UNIL
• 

  Xue Feng, PhD

  Research Assistant Professor
  University of Virginia
• ZS

  Zulma Sandoval, PhD

  Postdoctoral Scientist
  Cedars-Sinai Medical Center
• 

  Avan Suinesiaputra, PhD

  Research Fellow
  University of Auckland, New Zealand
• 

  Xiaoying Cai, BSc

  Graduate Student
  University of Virginia
• RD

  Robin Demesmaeker, MSc

  PhD Student
  Ecole Polytechnique Fédérale de Lausanne
• KF

  Kenneth Fung, MD, BSc

  Clinical Research Fellow
  Queen Mary University of London
• JV

  John Van Dyke, BSc

  M.S. Student
  Cedars-Sinai Medical Center
• 

  Rohan Dharmakumar, PhD

  Professor
  Biomedical Imaging Research Institute, Cedars-Sinai Medical Center
• EL

  Elena Lukaschuk, BSc

  Image Analyst
  University of Oxford
• CM

  Craig Meyer, PhD

  Professor
  University of Virginia
• 

  Jerome Yerly, PhD

  Research scientist
  CIBM / CHUV / UNIL
• 

  Frederick Epstein, PhD

  Professor of Biomedical Engineering
  University of Virginia
• TK

  Tobias Kober, PhD

  Director MR Predevelopment Switzerland
  Siemens Healthineers Switzerland
• EM

  Edd Maclean, MD

  Specialist Registrar in Cardiology
  Queen Mary University of London
• JP

  Jose Miguel Paiva, MSc

  Research Assistant
  Queen Mary University of London
• 

  Juerg Schwitter, MD

  Director CMR Center of the CHUV
  University Hospital Lausanne, CHUV, Switzerland
• 

  Matthias Stuber, PhD

  Professor
  CHUV, University of Lausanne
• FZ

  Filip Zemrak, MD, PhD

  Cardiology Registrar
  Barts Heart Centre at St Bartholomew's Hospital
• 

  Davide Piccini, PhD

  Senior Scientist
  Siemens Healthcare
• 

  Stefan Piechnik, PhD

  Head of Advanced Cardiovascular Image Processing, Oxford Centre for Clinical Magnetic Resonance Research
  University of Oxford
• 

  Stefan Neubauer, MD

  Director, Oxford Centre for Clinical Magnetic Resonance Research
  University of Oxford
• 

  Steffen Petersen, MD, PhD, MSc, FSCMR

  Professor of Cardiovascular Medicine and Consultant Cardiologist
  Queen Mary University of London
• 

  Alistair Young, PhD

  Professor
  The University of Auckland, New Zealand

Presentations:

• 8:30 AM - 8:50 AM

  The role of machine learning in paediatric MRI motion compensation
  Joseph Y. Cheng, PhD – Stanford University
• 8:50 AM - 9:10 AM

  Reducing Motion Artifacts in Deep-Cascade Artificial Neural Network CMR Reconstruction
  Daniel S. Weller, PhD – University of Virginia
• 9:10 AM - 9:30 AM

  Joint motion compensation and myocardial segmentation with shallow and deep models
  Sotirios Tsaftaris, PhD – The University of Edinburgh
• 9:30 AM - 9:40 AM

  A Comparison of Respiratory Self-Gating Methods using Automated Image Quality Assessment: A Proof of Concept in Coronary MRA
  John Heerfordt – Lausanne University Hospital and University of Lausanne; Lorenzo Di Sopra, MSc – CHUV / UNIL; Robin Demesmaeker, MSc – Ecole Polytechnique Fédérale de Lausanne; Jerome Yerly, PhD – CIBM / CHUV / UNIL; Tobias Kober, PhD – Siemens Healthineers Switzerland; Juerg Schwitter, MD – University Hospital Lausanne, CHUV, Switzerland; Matthias Stuber, PhD – CHUV, University of Lausanne; Davide Piccini, PhD – Siemens Healthcare
• 9:40 AM - 9:50 AM

  Rapid Automatic Quantification of Myocardial Blood Flow in Free-breathing Perfusion CMR without Motion Correction: A Novel Spatio-temporal Deep Learning Approach
  Behzad Sharif, PhD – Cedars-Sinai Medical Center & UCLA; Zulma Sandoval, PhD – Cedars-Sinai Medical Center; John Van Dyke, BSc – Cedars-Sinai Medical Center; Rohan Dharmakumar, PhD – Biomedical Imaging Research Institute, Cedars-Sinai Medical Center
• 9:50 AM - 10:00 AM

  A Deep Convolutional Neural Net for Artifact Suppression in DENSE MRI
  Mohammad Abdishektaei, MSc – University of Virginia; Xue Feng, PhD – University of Virginia; Xiaoying Cai, BSc – University of Virginia; Craig H. Meyer, PhD – University of Virginia; Frederick H. Epstein, PhD – University of Virginia
• 10:00 AM - 10:10 AM

  Fully Automated Myocardial Strain Estimation from Short-Axis CMR Tagged Images using a Machine Learning Pipeline
  Edward Ferdian, MSc – University of Auckland; Avan Suinesiaputra, PhD – University of Auckland, New Zealand; Kenneth Fung, MD, BSc – Queen Mary University of London; Elena Lukaschuk, BSc – University of Oxford; Edd Maclean, MD – Queen Mary University of London; Jose Miguel Paiva, MSc – Queen Mary University of London; Filip Zemrak, MD, PhD – Barts Heart Centre at St Bartholomew's Hospital; Stefan K. Piechnik, PhD – University of Oxford; Stefan Neubauer, MD – University of Oxford; Steffen E. Petersen, MD, PhD, MSc, FSCMR – Queen Mary University of London; Alistair A. Young, PhD – The University of Auckland, New Zealand