Automatic Segmentation of Liver Region through Blood Vessels on Multi-Phase CT
نویسندگان
چکیده
Recently four phases CT has been widely used for diagnosing liver diseases, especially cancer. This paper describes an automatic method for segmenting the liver region from third phase abdominal CT. First, blood vessels in the liver are extracted with a threshold. Then morphological dilation enables us to define an approximate liver region, which is found to be very useful for removing abutting organs. The final liver region is extracted with a threshold. Experiments were conducted for eight CT data. The extracted regions agree well with those detected manually.
منابع مشابه
Automatic segmentation of liver region based on extracted blood vessels
With the rapid progress of CT (Computed Tomography) scanners, four-phase CT images with resolutions as high as 1 mm have started to be used for diagnosing liver diseases. The first-, second-, third-, and fourth-phase CT images correspond to before dye injection, the early stage, the full stage, and the wash-out stage of the injected dye. Such CT data offer useful information for diagnosing hepa...
متن کامل300. RudzkiM
The paper presents an automatic method for liver vasculature segmentation in volumetric images obtained during Computed Tomography (CT) patient examination. The method, apart from the CT image, also requires an additional image containing binary liver mask. A modified multiscale vesselness filter (VF) performs vasculature detection. VF response is used to determine the starting voxels for the s...
متن کاملNew Technique for Automatic Segmentation of Blood Vessels in CT Scan Images of Liver Based on Optimized Fuzzy C-Means Method
Automatic segmentation of medical CT scan images is one of the most challenging fields in digital image processing. The goal of this paper is to discuss the automatic segmentation of CT scan images to detect and separate vessels in the liver. The segmentation of liver vessels is very important in the liver surgery planning and identifying the structure of vessels and their relationship to tumor...
متن کاملA Hybrid Method for Segmentation and Visualization of Teeth in Multi-Slice CT scan Images
Introduction: Various computer assisted medical procedures such as dental implant, orthodontic planning, face, jaw and cosmetic surgeries require automatic quantification and volumetric visualization of teeth. In this regard, segmentation is a major step. Material and Methods: In this paper, inspired by our previous experiences and considering the anatomical knowledge of teeth and jaws, we prop...
متن کاملInteractive segmentation of vascular structures in CT images for liver surgery planning
Vasculature analysis based on CT images is indispensable in liver surgical planning and diagnosis of liver disease. We propose a novel framework and efficient workflow with minimal user interactions to analyze liver vasculature in multiphase CT images. To ensure segmentation quality and efficiency, a set of semi-automatic algorithms are applied to initially segment different vascular structures...
متن کامل