We present a system for Computer Aided Diagnosis in Virtual Colonography based on simple geometric model fitting. Our approach extends surface normal analysis and sphere fitting methods. We label locations in the volume data, which have a high probability of being colonic polyps, and present them in a user-friendly way. The method was tested on a study group of 30 patients. Using normal colonos...

We propose a general formulation, called Multi-X, for multi-class multi-instance model fitting – the problem of interpreting the input data as a mixture of noisy observations originating from multiple instances of multiple classes. We extend the commonly used α-expansion-based technique with a new move in the label space. The move replaces a set of labels with the corresponding density mode in ...