High-resolution multi-slice CT scans requires significantly increased manual time to processes the liver in assisting the surgical procedure. This exhibit explores and presents the use of user defined landmarks in the venous anatomy seen in segmented liver, and subsequently helps to automatically extract the eight lobes of the liver (Couinaud Segments). The lobes are defined from the anatomy of the vessel tree. Initially, the user is prompted to select a seed on the liver seen in an axial slice; this seed is used to extract the liver automatically using a level set image processing method and prevents the leaks into ribs and diaphragm using bone density and liver shape. The user is able to correct liver boundaries in any orthogonal view. Next the user is prompted to select landmarks using multi-planar views and subsequently let the application automatically determine all Couinaud segments. The portal venous tree is extracted automatically from venous phase, contrast enhanced liver scans and mapped onto the liver segments/boundaries to provide comprehensive 3D rendering. This allows the surgeon to efficiently plan the liver resection or tumor ablation procedures.
Present and evaluate a new computer method to map the vessels on to automatically extracted liver lobes for the purpose of liv
Present and evaluate a new computer method to map the vessels on to automatically extracted liver lobes for the purpose of liver surgery. Describe and assess the associated workflow in order to provide easy user interface.(J.D., Employee, Philips Medical Systems, Cleveland, OH.)
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