Title
Automated segmentation of middle hepatic vein in non-contrast X-ray CT images based on an atlas-driven approach
Abstract
In order to support the diagnosis of hepatic diseases, understanding the anatomical structures of hepatic lobes and hepatic vessels is necessary. Although viewing and understanding the hepatic vessels in contrast media-enhanced CT images is easy, the observation of the hepatic vessels in non-contrast X-ray CT images that are widely used for the screening purpose is difficult. We are developing a computer-aided diagnosis (CAD) system to support the liver diagnosis based on non-contrast X-ray CT images. This paper proposes a new approach to segment the middle hepatic vein (NMV), a key structure (landmark) for separating the liver region into left and right lobes. Extraction and classification of hepatic vessels are difficult in non-contrast X-ray CT images because the contrast between hepatic vessels and other liver tissues is low. Our approach uses an atlas-driven method by the following three stages. (1) Construction of liver atlases of left and right hepatic lobes using a learning datasets. (2) Fully-automated enhancement and extraction of hepatic vessels in liver regions. (3) Extraction of NMV based on the results of (1) and (2). The proposed approach was applied to 22 normal liver cases of non-contrast X-ray CT images. The preliminary results show that the proposed approach achieves the success in 14 cases for NMV extraction.
Year
DOI
Venue
2008
10.1117/12.771612
PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE)
Keywords
Field
DocType
non-contrast X-ray CT images,liver atlas,atlas-driven segmentation method,middle hepatic vessel,computer aided diagnosis (CAD) system
Nuclear medicine,Hepatic lobes,Hepatic Diseases,Segmentation,Computer-aided diagnosis,Vein,Atlas (anatomy),Medical diagnostics,Anatomical structures,Radiology,Medicine
Conference
Volume
ISSN
Citations 
6914
0277-786X
0
PageRank 
References 
Authors
0.34
6
8
Name
Order
Citations
PageRank
teruhiko kitagawa1273.05
Xiangrong Zhou232545.53
Takeshi Hara363979.10
hiroshi fujita400.34
Ryujiro Yokoyama512318.40
hiroshi kondo651.26
Masayuki Kanematsu79017.09
Hiroaki Hoshi810618.21