期刊
MEDICAL IMAGE ANALYSIS
卷 10, 期 4, 页码 548-559出版社
ELSEVIER
DOI: 10.1016/j.media.2006.05.002
关键词
persistence; minimum spanning tree; vessel tree reconstruction
We propose a simple method for reconstructing vascular trees from 3D images. Our algorithm extracts persistent maxima of the intensity on all axis-aligned 2D slices of the input image. The maxima concentrate along ID intensity ridges, in particular along blood vessels. We build a forest connecting the persistent maxima with short edges. The forest tends to approximate the blood vessels present in the image, but also contains numerous spurious features and often fails to connect segments belonging to one vessel in low contrast areas. We improve the forest by applying simple geometric filters that trim short branches, fill gaps in blood vessels and remove spurious branches from the vascular tree to be extracted. Experiments show that our technique can be applied to extract coronary trees from heart CT scans. (C) 2006 Elsevier B.V. All rights reserved.
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