Toward replacing late gadolinium enhancement with artificial intelligence virtual native enhancement for gadolinium-free cardiovascular magnetic resonance tissue characterization in hypertrophic cardiomyopathy
<br><strong>Background:<br></strong> Late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) imaging is the gold standard for noninvasive myocardial tissue characterization but requires intravenous contrast agent administration. It is highly desired to devel...
Main Authors: | Zhang, Q, Burrage, MK, Lukaschuk, E, Shanmuganathan, M, Popescu, IA, Nikolaidou, C, Mills, R, Werys, K, Hann, E, Barutcu, A, Polat, SD, Salerno, M, Jerosch-Herold, M, Kwong, RY, Watkins, HC, Kramer, CM, Neubauer, S, Ferreira, VM, Piechnik, SK |
---|---|
Other Authors: | Hypertrophic Cardiomyopathy Registry (HCMR) Investigators |
Format: | Journal article |
Language: | English |
Published: |
American Heart Association
2021
|
Similar Items
-
Development of deep learning virtual native enhancement for gadolinium-free myocardial infarction and viability assessment
by: Zhang, Q, et al.
Published: (2022) -
Further refining risk in hypertrophic cardiomyopathy with late gadolinium enhancement by CMR
by: Kramer, C, et al.
Published: (2018) -
Deep learning for automated insertion point annotation of CMR late gadolinium enhancement and virtual native enhancement images
by: Gonzales, RA, et al.
Published: (2023) -
Non-contrast T1 mapping characterizes the myocardium beyond that achieved by late gadolinium enhancement in both hypertrophic and dilated cardiomyopathy.
by: Dass, S, et al.
Published: (2012) -
Reproducibility of Gadolinium Enhancement Patterns and Wall Thickness in Hypertrophic Cardiomyopathy
by: Gaston A. Rodriguez-Granillo, et al.
Published: (2016-01-01)