Keywords: Diagnosis/Prediction, Cardiovascular, Aortic valve calcifications
Motivation: Contrast-enhanced CT is the gold standard for TAVI planning but unsuitable for patients with kidney disease or contrast allergies. Contrast-free MRI is an alternative but lacks visualization of calcifications.
Goal(s):
Approach: We performed CTA-CMR registration with Elastix using aorta masks, then trained several SOTA Deeo Leaning models using CMR images and CTA-to-CMR registered calcification masks.
Results: Segmentation of aorta valve calcifications showed low DSC (0.309), while aorta wall calcifications could not be estimated. Valves' calcified area was underestimated by 25.96%.
Impact: Calcifications are not visible on contrast-free CMR to the human eye, so we tested AI segmentation using CTA-registered labels, achieving low results (DSC 0.309). While a larger dataset or improved registration may help, the task's physical feasibility remains uncertain.
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