Liver Segmentation in CT Images

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Babagholami Mohammadabadi, Behnam | 2012

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 43562 (19)
University: Sharif University of Technology
Department: Computer Engineering
Advisor(s): Manzouri, Mohammad Taghi
Abstract:
Image segmentation has a huge amount of applications in machine vision, target detection, medical image processing, etc. In many medical researches such as Organ and Gland Volume Specification, Analysis of Anatomical Structures and Multimodal Image Registration, Organ
Segmentation is the first step of preprocessing.Since detection of diseases out of medical images depends on organ segmentation results,the segmentation process is done by experts which has a lot of disadvantages such as high time computation, high cost, etc. Hence, designing algorithms that can segment images with high accuracy and need minimum user interaction are desirable. So, in this thesis, a new
knowledge based fully automatic liver segmentation has been proposed which is capable of segmenting liver in CT images with high accuracy
Keywords:
Preprocessing ; Texture Analysis ; Graph Cut ; Deformable Model ; Liver Segmentation ; Live Wire