Abstract: The present development is a method for the visualization and automatic examination of the inner surface of tubular objects. The method uses a virtual camera rig arranged in a specific pattern within the tubular objects inner surface. The rig can be physical or virtual or hypothetical; graphics-based, providing the same functionality of a sequence of virtual cameras. This “Fly-In” method is a more general visualization technique than techniques of the prior art, it is more flexible and does not create distortion, it does not require alternation to the surface for viewing and it can handle multi-branches with variable diameter. It can also provide a clear assessment of the inner surface for immediate examination of the object.

Abstract: The present development is a method for generating a computer-aided accurate segmentation of an irregular structure, such as a colon The approach is based on a multi-tiered information propagation framework using statistical and variational methods. First, an initial segmentation using a method such as intensity based or shape-model registration for a volume of a typical CT is generated. The segmented image is subjected to a global/convex continuous minimization approach. After minimization, the data goes through post processing, and then the final segmented irregular structure output volume is generated.