Synthetic Cardiac MR Images

Healthy and Infarcted Image Sequences Generated from STACOM 2011 Challenge Data

AUTHORS

Nicolas Duchateau (nicolas.duchateau@creatis.insa-lyon.fr)

Maxime Sermesant, Hervé Delingette, Nicholas Ayache (Inria Epione team, Sophia-Antipolis, France)

The synthetic images can be found here: http://www-sop.inria.fr/asclepios/data/STRAUS/SyntheticMRI

CONTENTS

– a set of synthetic cases (meshes and images) generated from 15 real cases from the STACOM 2011 challenge. For each real case, 1 healthy + 30 diseased variants (regional tissue damage, of random size, location within the LAD territory, and random grade of damage) were generated.

The folder organization for each volunteer dataset is as follows:

– InputImages = original MR image sequences from the STACOM 2011 challenge, and cropped versions around the heart

– SyntheticData = generated synthetic mesh and image sequences (1 healthy and 30 infarct variants).

COPYRIGHT NOTICE

Published reports of research using this dataset (or a modified version) should cite the following article that describes the methodology developed to produce this data:

Duchateau N, Sermesant M, Delingette H, Ayache N. Model-based generation of large databases of cardiac images: synthesis of pathological cine MR sequences from real healthy cases. IEEE Transactions on Medical Imaging, 2018;37:755-66.

Additionally, it should cite the STACOM 2011 challenge paper describing the original data:

Tobon-Gomez C, De Craene M, McLeod K, Tautz L, Shi W, Hennemuth A, Prakosa A, Wang H, Carr-White G, Kapetanakis S, Lutz A, Rasche V, Schaeffter T, Butakoff C, Friman O, Mansi T, Sermesant M, Zhuang X, Ourselin S, Peitgen H, Pennec X, Razavi R, Rueckert D, Frangi A, Rhode K. Benchmarking framework for myocardial tracking and deformation algorithms: an open access database. Medical Image Analysis, 2013;17:632-48.