Simulated late gadolinium enhanced cardiac magnetic resonance imaging dataset from mechanical XCAT phantom including a myocardial infarct

Evianne Kruithof (Corresponding author), Sina Amirrajab, Kevin D. Lau, Marcel Breeuwer

Research output: Contribution to journalArticleAcademicpeer-review

70 Downloads (Pure)

Abstract

The late enhanced magnetic resonance image dataset in this article is simulated using a mechanistic cardiac phantom that includes an myocardial infarct. Settings of the image simulation pipeline are adjusted such that high- and low-resolution images, with and without slice alignment artifacts, are simulated. Our article on the influence of image artifacts on image-based models of the cardiac electrophysiology is based on this data (Kruithof et al., 2021). This dataset provides image-analysis researchers a reference to perform validation of their methods using the included high-resolution ground truth image, a resource that is often unavailable clinically.

Original languageEnglish
Article number107691
JournalData in Brief
Volume40
DOIs
Publication statusPublished - Feb 2022

Bibliographical note

Funding Information:
This research is a part of the openGTN project, supported by the European Union in the Marie Curie Innovative Training Networks (ITN) fellowship program under project No. 764465 (website: opengtn.eu).

Funding

This research is a part of the openGTN project, supported by the European Union in the Marie Curie Innovative Training Networks (ITN) fellowship program under project No. 764465 (website: opengtn.eu).

FundersFunder number
European Union's Horizon 2020 - Research and Innovation Framework Programme764465
European Commission

    Keywords

    • Ground truth magnetic resonance imaging data
    • Image artifacts
    • Image resolution
    • Slice misalignment
    • Ventricular tachycardia

    Fingerprint

    Dive into the research topics of 'Simulated late gadolinium enhanced cardiac magnetic resonance imaging dataset from mechanical XCAT phantom including a myocardial infarct'. Together they form a unique fingerprint.

    Cite this