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Proceedings Paper

Hepatic blood vessel recognition using anatomical knowledge
Author(s): Noriko Inaoka; Hideo Suzuki; Morimichi Fukuda
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Paper Abstract

This paper describes a method for segmentation and recognition of hepatic blood vessels from axial MR image sequences. We propose a method of accurate segmentation of blood vessel components, and recognition of the blood vessel structure by utilizing two dimensional (2-D) and three dimensional (3-D) anatomical information. The method consists of two parts: (1) extraction of blood vessel components and other anatomical structures, and (2) recognition of 3-D blood vessel structure using anatomical models. The system first extracts candidates of hepatic blood vessel segments from each 2-D image automatically using the directional contrast filter and other image processing techniques. The contour of the liver is extracted semi-automatically. By using the knowledge about segmental anatomy and characteristics of the way blood vessels extend, the system searches for points connecting the segments in different slices and recognizes hepatic vascular system (portal veins and hepatic veins). The knowledge is implemented in a 2-D shape model and a tree model.

Paper Details

Date Published: 1 June 1992
PDF: 5 pages
Proc. SPIE 1652, Medical Imaging VI: Image Processing, (1 June 1992); doi: 10.1117/12.59460
Show Author Affiliations
Noriko Inaoka, IBM Japan, Ltd. (Japan)
Hideo Suzuki, IBM Japan, Ltd. (Japan)
Morimichi Fukuda, Sapporo Medical College (Japan)

Published in SPIE Proceedings Vol. 1652:
Medical Imaging VI: Image Processing
Murray H. Loew, Editor(s)

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