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Patient-specific mitral leaflet segmentation from 4D ultrasound. (English)
Fichtinger, Gabor (ed.) et al., Medical image computing and computer-assisted intervention ‒ MICCAI 2011. 14th international conference, Toronto, Canada, September 18‒22, 2011. Proceedings, Part III. Berlin: Springer (ISBN 978-3-642-23625-9/pbk). Lecture Notes in Computer Science 6893, 520-527 (2011).
Summary: Segmenting the mitral valve during closure and throughout a cardiac cycle from four dimensional ultrasound (4DUS) is important for creation and validation of mechanical models and for improved visualization and understanding of mitral valve behavior. Current methods of segmenting the valve from 4DUS either require extensive user interaction and initialization, do not maintain the valve geometry across a cardiac cycle, or are incapable of producing a detailed coaptation line and surface. We present a method of segmenting the mitral valve annulus and leaflets from 4DUS such that a detailed, patient-specific annulus and leaflets are tracked throughout mitral valve closure, resulting in a detailed coaptation region. The method requires only the selection of two frames from a sequence indicating the start and end of valve closure and a single point near a closed valve. The annulus and leaflets are first found through direct segmentation in the appropriate frames and then by tracking the known geometry to the remaining frames. We compared the automatically segmented meshes to expert manual tracings for both a normal and diseased mitral valve, and found an average difference of $0.59 \pm 0.49 \,\text{mm}$, which is on the order of the spatial resolution of the ultrasound volumes (0.5-1.0mm/voxel).