Automatic Abdominal Organ Segmentation from CT images

ELCVIA Electronic Letters on Computer Vision and Image Analysis

Paola Campadelli¹  Gabriele Lombardi¹  Stella Pratissoli¹  Elena Casiraghi¹ 

[1] Università degli Studi di milano

关键词: Abdominal CT images;    3D organs segmentation;    histogram analysis;    graph cut;    α-expansion;    Features and Image Descriptors;    Classification and Clustering;    Colour and Texture;    Medical Diagnosis;   

DOI  :  

学科分类：计算机科学（综合）

来源: ELCVIA

【 摘 要 】

In the recent years a great deal of research work has been devoted to the development of semi-automatic and automatic techniques for the analysis of abdominal CT images. Some of the current interests are the automatic diagnosis of liver, spleen, and kidney pathologies and the 3D volume rendering of the abdominal organs. The first and fundamental step in all these studies is the automatic organs segmentation, that is still an open problem. In this paper we propose our fully automatic system that employs a hierarchical gray level based framework to segment heart, bones (i.e. ribs and spine), liver and its blood vessels, kidneys, and spleen. The overall system has been evaluated on the data of 100 patients, obtaining a good assessment both by visual inspection by three experts, and by comparing the computed results to the boundaries manually traced by experts.

【 授权许可】

Unknown