Liver Segmentation from 3D Abdominal CT Images

被引：0

作者：

Pham The Bao ^{[1
]}

Tran Hong Tai ^{[1
]}

Duong, Viet-Hang ^{[2
]}

Wang, Jia-Ching ^{[2
]}

机构：

[1] Univ Sci, Fac Math & Comp Sci, Ho Chi Minh City, Vietnam

[2] Natl Cent Univ, Dept Comp Sci & Informat Engn, Jhongli, Taiwan

来源：

2015 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - TAIWAN (ICCE-TW) | 2015年

关键词：

Medical image processing; 3D abdominal CT image; liver segmentation; Otsu method;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Segmentation of the whole liver region from computed tomography (CT) image is the first step in the computer-aided diagnosis for liver disease. In this paper, we propose a new method for segmenting liver region from 3D CT images of abdomen using enhanced Otsu method. Our algorithm uses Otsu method with some improvements to construct intensity model and shape model for liver. First, the 3D CT image of abdomen is cropped, preserving only the part that contains liver. Second, the liver region in each slice of preserved part is segmented using intensity model. Finally, the segmented liver regions from all slices are post-processed to increase performance and merged into a single liver region.

引用

页码：342 / 343

页数：2

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