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Hepatic Hemangioma Segmentation from Abdominal CT Images

Hepatic Hemangioma is a benign tumor in the liver that is more likely to cause complications if the hemangioma is too large. In the thesis, the images of Hepatic Hemangioma are segmented via various image segmentation techniques. A total 72 HEM cases provided by West China Hospital, Sichuan University that had been manually segmented as the gold standard for segmentation. The main aim of this work is to compare the results of the segmentation of these hepatic hemangioma images through various image processing techniques with the gold standard by experts' experience to get a better segmentation method, which includes: 1. Regional Growth; 2. Regional Growth Combined with Watershed Algorithm; 3. Local Maximum Combined with Eight Connected Extraction.