Emidec: A Database Usable for the Automatic Evaluation of Myocardial Infarction from Delayed-Enhancement Cardiac MRI

One crucial parameter to evaluate the state of the heart after myocardial infarction (MI) is the viability of the myocardial segment, i.e., if the segment recovers its functionality upon revascularization. MRI performed several minutes after the injection of a contrast agent (delayed enhancement-MRI...

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Bibliographic Details
Published in:Data (Basel) Vol. 5; no. 4; pp. 89 - 97
Main Authors: Lalande, Alain, Chen, Zhihao, Decourselle, Thomas, Qayyum, Abdul, Pommier, Thibaut, Lorgis, Luc, de la Rosa, Ezequiel, Cochet, Alexandre, Cottin, Yves, Ginhac, Dominique, Salomon, Michel, Couturier, Raphaël, Meriaudeau, Fabrice
Format: Journal Article
Language:English
Published: MDPI 01.12.2020
MDPI AG
Subjects:
Computer Science
Cryptography and Security
delayed-enhancement
Distributed, Parallel, and Cluster Computing
Emerging Technologies
heart
Modeling and Simulation
MRI
Multiagent Systems
myocardial infarction
normal case
segmentation
Software Engineering
Ubiquitous Computing
delayed-enhancement
MRI
normal case
myocardial infarction
segmentation
classification
heart
ISSN:2306-5729, 2306-5729
Online Access:Get full text
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Summary:One crucial parameter to evaluate the state of the heart after myocardial infarction (MI) is the viability of the myocardial segment, i.e., if the segment recovers its functionality upon revascularization. MRI performed several minutes after the injection of a contrast agent (delayed enhancement-MRI or DE-MRI) is a method of choice to evaluate the extent of MI, and by extension, to assess viable tissues after an injury. The Emidec dataset is composed of a series of exams with DE-MR images in short axis orientation covering the left ventricle from normal cases or patients with myocardial infarction, with the contouring of the myocardium and diseased areas (if present) from experts in the domains. Moreover, classical available clinical parameters when the patient is managed by an emergency department are provided for each case. To the best of our knowledge, the Emidec dataset is the first one where annotated DE-MRI are combined with clinical characteristics of the patient, allowing the development of methodologies for exam classification as for exam quantification.
ISSN:2306-5729
2306-5729
DOI:10.3390/data5040089