Segmentation of the Liver from Abdominal CT Using Markov Random Field model and GVF Snakes

Liver segmentation from scans of the abdominal area is an important step in several diagnostic processes. CT scans of the abdominal area contain several organs in close proximity exhibiting similar image character-istics. In this paper, we present preliminary results on an algorithm that uses Markov Random Fields to ob-tain an initial contour of the liver. Gradient vector fields (GVF) and active contours are used to refine the initial estimate and segment the liver. Tests are re-ported on 13 clinical cases using a similarity metric that combines area and space.