The aim of this paper is to introduce a variational image segmentation
method for assessing the aberrant crypt foci (ACF) in the human colon captured
in vivo by endoscopy. ACF are thought to be precursors for colorectal cancer, and
therefore their early detection may play an important clinical role. We enhance the
active contours without edges model of Chan and Vese to account for the ACF’s
particular structure. We employ level sets to represent the segmentation boundaries,
and discretize in space by finite elements and in (artificial) time by finite differences.
The approach is able to identify the ACF, their boundaries, and some of the internal
crypts’ orifices.UT Austin | Portugal Progra
