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Proceedings Paper

Three-dimensional reconstruction of pulmonary blood vessels by using anatomical knowledge base
Author(s): Noriko Inaoka; Hideo Suzuki; Masaki Mori; Hirotsugu Takabatake; Akira Suzuki
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Paper Abstract

This paper presents a knowledge-based method for automatic reconstruction and recognition of pulmonary blood vessels from chest x-ray CT images with 10-mm thickness. The system has four main stages: (1) automatic extraction and segmentation of blood vessel components from each 2-D image, (2) analysis of these components, (3) a search for points connecting blood vessel segments in different CT slices, using a knowledge base for 3-D reconstruction, and (4) object manipulation and display. The authors also describe a method of representing 3-D anatomical knowledge of the pulmonary blood vessel structure. The edges of blood vessels in chest x-ray images are unclear, in contrast to those in angiograms. Each CT slice has thickness, and blood vessels are slender, so a simple graphical display, which can be used for bone tissues from CT images, is not sufficient for pulmonary blood vessels. It is therefore necessary to use anatomical knowledge to track the blood vessel lines in 3-D spaces. Experimental results using actual images of a normal adult male has shown that utilizing anatomical information enables one to improve processing efficiency and precision, such as blood vessel extraction and searching for connecting points.

Paper Details

Date Published: 1 July 1991
PDF: 11 pages
Proc. SPIE 1450, Biomedical Image Processing II, (1 July 1991); doi: 10.1117/12.44279
Show Author Affiliations
Noriko Inaoka, IBM Japan, Ltd. (Japan)
Hideo Suzuki, IBM Japan, Ltd. (Japan)
Masaki Mori, Sapporo Medical College (Japan)
Hirotsugu Takabatake, Sapporo Medical College (Japan)
Akira Suzuki, Sapporo Medical College (Japan)


Published in SPIE Proceedings Vol. 1450:
Biomedical Image Processing II
Alan Conrad Bovik; Vyvyan Howard, Editor(s)

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