AI-generated high spatial- and temporal-resolution 4D-CT of Mitral Valve Dynamics

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ID: 313508
2026
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Ranked #89 of 248 articles by views in European Heart Journal - Case Reports

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Abstract
Abstract While CT is valuable for mitral valve imaging, its low temporal resolution limits utility for transcatheter edge-to-edge repair (TEER). We developed a computational method (CVpilot®) using diffusion-based interpolation to reconstruct high-resolution mitral valve dynamics (30 frames/cardiac cycle) from just two CT phases (mid-systole, mid-diastole) in a severe regurgitation case. This approach overcomes CT’s temporal limitations, enhancing its potential for TEER screening and planning.
Reference Key
openalex_W7161139182 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Qifeng Zhu, J T Li, Yì Wáng, X Y Liu
Journal European Heart Journal - Case Reports
Year 2026
DOI
10.1093/ehjcr/ytag358
URL
https://doi.org/10.1093/ehjcr/ytag358
Keywords Keywords not found

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