Determining candidate polyp morphology from CT colonography using a level-set method
Lynch, Michael, Chowdhury, Tarik A., Ghita, Ovidiu and Whelan, Paul F.ORCID: 0000-0001-9230-7656
(2005)
Determining candidate polyp morphology from CT colonography using a level-set method.
In: EMBEC 2005 - European Medical and Biological Engineering Conference, 20-25 November 2005, Prague, Czech Republic.
In this paper we propose a level-set segmentation for
polyp candidates in Computer Tomography Colongraphy
(CTC). Correct classification of the candidate
polyps into polyp and non-polyp is, in most cases,
evaluated using shape features. Therefore, accurate
recovery of the polyp candidate surface is important
for correct classification. The method presented in
this paper, evolves a curvature and gradient dependent
boundary to recover the surface of the polyp candidate
in a level-set framework. The curvature term
is computed using a combination of the Mean curvature
and the Gaussian curvature. The results of
the algorithm were run through a classifier for two
complete data-sets and returned 100% sensitivity for
polyps greater than 5mm.