Multi-Centre Evaluation of Cardiac DTI Sequences

Contents

Overview Database Publications Research Team

Links of Interest

The Cardiac Diffusion Working Group The Human Heart Project Cardiac MRI Software

Research Centres

Leeds Institute of Cardiovascular and Metabolic Medicine Massachusetts General Hospital Harvard Medical School Department of Radiology, Stanford University Royal Brompton Hospital and Imperial College Wexner Medical Center Institute for Biomedical Engineering - University and ETH Zurich Institute for Biomedical Engineering - University and ETH Zurich Comprehensive Heart Failure Center Institute of Biomedical Engineering - Université de Montréal University of Oxford CREATIS

Cardiac diffusion tensor imaging (DTI) continues to develop as a non-invasive contrast-free method for in vivo characterization of cardiac microstructure. Currently, data from healthy subjects report a wide range for both mean diffusivity (MD) and fractional anisotropy (FA). Consequently, there is a need to better understand the variation in DTI results reported in the literature that may arise from differences in scanners, field strengths, pulse sequences and post-processing.

Objectives

The objective of this multi-centre study was to investigate the inter-site variation in DTI parameters in an isotropic phantom, as a first step towards harmonisation of cardiac DTI methods.

Isotropic Phantom
Isotropic Phantom, ROI and DAI maps. Photograph of phantom before filling with ice and water (top left); layout of tubes and Regions of Interest (green circles, bottom left); MD and FA maps (top right and bottom right respectively).

Open Access Database

Please go to the Multi-Centre Evaluation of Cardiac DTI Sequences DB to access the public data of this project.

Publications

  • Teh, Irvin et al., Multi-centre evaluation of diffusion tensor imaging (DTI) in an isotropic phantom: Towards validation of cardiac DTI sequences, SCMR 23rd Annual Scientific Sessions.
  • Teh, Irvin et al., Reproducibility of diffusion tensor imaging (DTI) on 12 clinical scanners: Towards validation of cardiac DTI sequences, ISMRM 2020.
  • Romero R., William A. et al., Exploring DTI Benchmark Databases Through Visual Analytics, Conference proceedings MICCAI 2020.

Research Team

  • Irvin Teh
  • Jordan Boyle
  • Erica Dall’Armellina
  • Jürgen E. Schneider
 Leeds Institute of Cardiovascular and
Metabolic Medicine,
University of Leeds,
Leeds, UK.
  • Jaume Coll-Font
  • Christopher Nguyen
  • David Sosnovik
 Massachusetts General Hospital and
Harvard Medical School,
Boston, USA.
  • Daniel B. Ennis
  • Kévin Moulin
 Department of Radiology, Stanford University,
Stanford, CA, USA.
  • Pedro F. Ferreira
  • Sonia Nielles-Vallespin
  • Andrew Scott
 Royal Brompton Hospital and Imperial College,
London, UK.
  • Prateek Kalra
  • Arunark Kolipaka
  • Brian Raterman
 Department of Radiology,
The Ohio State University,
Wexner Medical Center,
Columbus, USA.
  • Sebastian Kozerke
  • Christian T. Stoeck
 Institute for Biomedical Engineering,
University and ETH Zurich,
Zurich, Switzerland.
  • David Lohr
 Department of Cardiovascular Imaging,
Comprehensive Heart Failure Center,
Würzburg, Germany.
  • François-Pierre Mongeon
 Montreal Heart Institute,
Montreal, Canada.
  • Cyril Tous
 Department of Radiology,
Radiation-Oncology and Nuclear Medicine and
Institute of Biomedical Engineering,
Université de Montréal,
Montréal, Canada.
  • Elizabeth Tunnicliffe
 University of Oxford,
Oxford, UK.
  • Andreas M. Weng
 Department of Diagnostic and
Interventional Radiology,
University Hospital Würzburg,
Würzburg, Germany.
  • Beau Pontre
 Department of Anatomy and Medical Imaging,
The University of Auckland,
Auckland, New Zealand.
  • Alistair Young
 Department of Biomedical Engineering,
King's College London,
London, UK.
  • William A. Romero R.
  • Pierre Croisille
  • Magalie Viallon
 CREATIS
Université de Lyon, UJM-Saint-Etienne, INSA,
CNRS UMR 5520, INSERM U1206, F-42023,
Saint Etienne, France.