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

Data Brief. 2021 Dec 8:40:107691. doi: 10.1016/j.dib.2021.107691. eCollection 2022 Feb.

Authors

Evianne Kruithof¹, Sina Amirrajab¹, Kevin D Lau², Marcel Breeuwer^{1

3}

Affiliations

¹ Eindhoven University of Technology, the Netherland.
² Philips Research Eindhoven, the Netherland.
³ Philips Healthcare Best, the Netherland.

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.

Keywords: Ground truth magnetic resonance imaging data; Image artifacts; Image resolution; Slice misalignment; Ventricular tachycardia.