期刊名称：Signal & Image Processing : An International Journal (SIPIJ)
印刷版ISSN：2229-3922
电子版ISSN：0976-710X
出版年度：2015
卷号：6
期号：1
页码：1
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Segmentation of organs from medical images is an active and interesting area of research. Liversegmentation incurs more challenges and difficulties compared with segmentation of other organs. In thispaper we demonstrate a liver segmentation method for computer tomography images. We revisit thedistance regularization level set (DRLS) model by deploying new balloon forces. These forces control thedirection of the evolution and slow down the evolution process in regions that are associated with weak orwithout edges. The newly added balloon forces discourage the evolving contour from exceeding the liverboundary or leaking at a region that is associated with a weak edge, or does not have an edge. Ourexperimental results confirm that the method yields a satisfactory overall segmentation outcome.Comparing with the original DRLS model, our model is proven to be more effective in handling oversegmentationproblems.
关键词：Liver segmentation; level set method; Distance Regularized Level Set (DRLS) model; and balloon forces
