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 |
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Article number | 107691 |
Journal | Data in Brief |
Volume | 40 |
DOIs | |
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 |
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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