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

Evianne Kruithof; Sina Amirrajab; Kevin D. Lau; Marcel Breeuwer

doi:10.1016/j.dib.2021.107691

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 journal › Article › Academic › peer-review

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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 language	English
Article number	107691
Journal	Data in Brief
Volume	40
DOIs	https://doi.org/10.1016/j.dib.2021.107691
Publication status	Published - 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).

Funders	Funder number
European Union's Horizon 2020 - Research and Innovation Framework Programme	764465
European Commission

Keywords

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

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

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.",

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

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