Generating Short-Axis DENSE Images from 4D XCAT Phantoms: A Proof-of-Concept Study
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-35302-4_43
Reference27 articles.
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2. Lecture Notes in Computer Science;S Amirrajab,2020
3. Auger, D.A., et al.: Reproducibility of global and segmental myocardial strain using cine DENSE at 3 T: a multicenter cardiovascular magnetic resonance study in healthy subjects and patients with heart disease. J. Cardiovasc. Magn. Reson. 24(1), 23 (2022). https://doi.org/10.1186/S12968-022-00851-7
4. Barbaroux, H., et al.: Automated segmentation of long and short axis DENSE cardiovascular magnetic resonance for myocardial strain analysis using spatio-temporal convolutional neural networks. J. Cardiovasc. Magn. Reson. 25(1), 1–17 (2023). https://doi.org/10.1186/S12968-023-00927-Y
5. Barbaroux, H., Scott, A.D., Young, A.A.: Extending DENSEanalysis for automated and faster DENSE strain processing. In: Proceedings from the 26th Annual Society for Cardiovascular Magnetic Resonance (SCMR) Scientific Sessions, p. 1351770 (2023). https://doi.org/10.13140/RG.2.2.32980.07043
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