Constraints on deformable models: recovering 3D shape and nongrid motion
Artificial Intelligence
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
Patient-specific modeling and analysis of the mitral valve using 3D-TEE
IPCAI'10 Proceedings of the First international conference on Information processing in computer-assisted interventions
Modeling mitral valve leaflets from three-dimensional ultrasound
FIMH'11 Proceedings of the 6th international conference on Functional imaging and modeling of the heart
Fast simulation of mitral annuloplasty for surgical planning
FIMH'13 Proceedings of the 7th international conference on Functional Imaging and Modeling of the Heart
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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 ± 0.49mm, which is on the order of the spatial resolution of the ultrasound volumes (0.5-1.0mm/voxel).