Signal dropout correction-based ultrasound segmentation for diastolic mitral valve modeling

Three-dimensional ultrasound segmentation of mitral valve (MV) at diastole is helpful for duplicating geometry and pathology in a patient-specific dynamic phantom. The major challenge is the signal dropout at leaflet regions in transesophageal echocardiography image data. Conventional segmentation a...

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Bibliographic Details
Published in:J Med Imaging (Bellingham)
Main Authors: Xia, Wenyao, Moore, John, Chen, Elvis C. S., Xu, Yuanwei, Ginty, Olivia, Bainbridge, Daniel, Peters, Terry M.
Format: Artigo
Language:Inglês
Published: Society of Photo-Optical Instrumentation Engineers 2018
Subjects:
Special Section on Image-Guided Procedures, Robotic Interventions, and Modeling
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC5806032/
https://ncbi.nlm.nih.gov/pubmed/29487886
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.5.2.021214
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