Min-Cut/max-flow segmentation of hydrocephalus in children from CT datasets

This paper considers the problem of assessment of hydrocephalus in children using image processing and analysis algorithms. In particular, problem of lesion segmentation from CT brain scans is regarded. An approach for hydrocephalus segmentation based on min-cut/max-flow algorithm is pro-posed. Images after segmentation are next used to determine the volume of the lesion. Results of the proposed approach are presented, compared with the previous approaches proposed by the authors and discussed.