Share Email Print
cover

Proceedings Paper

Automated segmentation of hepatic vessel trees in non-contrast x-ray CT images
Author(s): Suguru Kawajiri; Xiangrong Zhou; Xuejin Zhang; Takeshi Hara; Hiroshi Fujita; Ryujiro Yokoyama; Hiroshi Kondo; Masayuki Kanematsu; Hiroaki Hoshi
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Hepatic vessel trees are the key structures in the liver. Knowledge of the hepatic vessel trees is important for liver surgery planning and hepatic disease diagnosis such as portal hypertension. However, hepatic vessels cannot be easily distinguished from other liver tissues in non-contrast CT images. Automated segmentation of hepatic vessels in non-contrast CT images is a challenging issue. In this paper, an approach for automated segmentation of hepatic vessels trees in non-contrast X-ray CT images is proposed. Enhancement of hepatic vessels is performed using two techniques: (1) histogram transformation based on a Gaussian window function; (2) multi-scale line filtering based on eigenvalues of Hessian matrix. After the enhancement of hepatic vessels, candidate of hepatic vessels are extracted by thresholding. Small connected regions of size less than 100 voxels are considered as false-positives and are removed from the process. This approach is applied to 20 cases of non-contrast CT images. Hepatic vessel trees segmented from the contrast-enhanced CT images of the same patient are used as the ground truth in evaluating the performance of the proposed segmentation method. Results show that the proposed method can enhance and segment the hepatic vessel regions in non-contrast CT images correctly.

Paper Details

Date Published: 8 March 2007
PDF: 8 pages
Proc. SPIE 6512, Medical Imaging 2007: Image Processing, 65123A (8 March 2007); doi: 10.1117/12.710343
Show Author Affiliations
Suguru Kawajiri, Gifu Univ. (Japan)
Xiangrong Zhou, Gifu Univ. (Japan)
Xuejin Zhang, Gifu Univ. (Japan)
Takeshi Hara, Gifu Univ. (Japan)
Hiroshi Fujita, Gifu Univ. (Japan)
Ryujiro Yokoyama, Gifu Univ. Hospital (Japan)
Hiroshi Kondo, Gifu Univ. Hospital (Japan)
Masayuki Kanematsu, Gifu Univ. Hospital (Japan)
Hiroaki Hoshi, Gifu Univ. Hospital (Japan)


Published in SPIE Proceedings Vol. 6512:
Medical Imaging 2007: Image Processing
Josien P. W. Pluim; Joseph M. Reinhardt, Editor(s)

© SPIE. Terms of Use
Back to Top