ArticleInternational journal of computer assisted radiology and surgery2020
Combining position-based dynamics and gradient vector flow for 4D mitral valve segmentation in TEE sequences.
Article in International journal of computer assisted radiology and surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Intraoperative transesophageal echocardiography following mitral valve repair: a systematic review.Brazilian journal of anesthesiology (Elsevier)Pooled it
- A Physiologic Left Ventricle Flow Phantom for 4D Flow MRI Applications and CFD Verification.Annals of biomedical engineering · 2026Article
- Unsupervised Mitral Valve Tracking for Disease Detection in Echocardiogram Videos.Journal of imaging · 2020Article
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Authors and funding
9 authors.
Funding
Abstract
purposeFor planning and guidance of minimally invasive mitral valve repair procedures, 3D+t transesophageal echocardiography (TEE) sequences are acquired before and after the intervention. The valve is then visually and quantitatively assessed in selected phases. To enable a quantitative assessment of valve geometry and pathological properties in all heart phases, as well as the changes achieved through surgery, we aim to provide a new 4D segmentation method.
methodsWe propose a tracking-based approach combining gradient vector flow (GVF) and position-based dynamics (PBD). An open-state surface model of the valve is propagated through time to the closed state, attracted by the GVF field of the leaflet area. The PBD method ensures topological consistency during deformation. For evaluation, one expert in cardiac surgery annotated the closed-state leaflets in 10 TEE sequences of patients with normal and abnormal mitral valves, and defined the corresponding open-state models.
resultsThe average point-to-surface distance between the manual annotations and the final tracked model was [Formula: see text]. Qualitatively, four cases were satisfactory, five passable and one unsatisfactory. Each sequence could be segmented in 2-6 min.
conclusionOur approach enables to segment the mitral valve in 4D TEE image data with normal and pathological valve closing behavior. With this method, in addition to the quantification of the remaining orifice area, shape and dimensions of the coaptation zone can be analyzed and considered for planning and surgical result assessment.
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