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

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

94 Downloads (Pure)

Samenvatting

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.

Originele taal-2Engels
Artikelnummer107691
TijdschriftData in Brief
Volume40
DOI's
StatusGepubliceerd - feb. 2022

Bibliografische nota

Publisher Copyright:
© 2021 The Authors

Financiering

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).

FinanciersFinanciernummer
European Union’s Horizon Europe research and innovation programme764465
European Commission

    Vingerafdruk

    Duik in de onderzoeksthema's van 'Simulated late gadolinium enhanced cardiac magnetic resonance imaging dataset from mechanical XCAT phantom including a myocardial infarct'. Samen vormen ze een unieke vingerafdruk.

    Citeer dit