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Proceedings Paper

Toward reliable multigenerational analysis of anatomical trees in 3D high-resolution CT images
Author(s): Kun-Chang Yu; Erik Leo Ritman; Atilla Peter Kiraly; Shu-Yen Wan; Mair Zamir; William E. Higgins
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Paper Abstract

Modern micro-CT and multidetector helical CT scanners can produce high-resolution 3D digital images of various anatomical tree structures, such as the coronary or hepatic vasculature and the airway tree. The sheer size and complexity of these trees make it essentially impossible to define them interactively. Automatic approaches, using techniques such as image segmentation, thinning, and centerline definition, have been proposed for a few specific problems. None of these approaches, however, can guarantee extracting geometrically accurate multigenerational tree structures. This limits their utility for detailed quantitative analysis of a tree. This paper proposes an approach for accurately defining 3D trees depicted in large 3D CT images. Our approach utilizes a three-stage analysis paradigm: (1) Apply an automated technique to make a "first cut" at defining the tree. (2) Analyze the automatically defined tree to identify possible errors. (3) Use a series of interactive tools to examine and correct each of the identified errors. At the end of this analysis, in principle, a more useful tree will be defined. Our paper will present a preliminary description of this paradigm and give some early results with 3D micro-CT images.

Paper Details

Date Published: 2 May 2003
PDF: 9 pages
Proc. SPIE 5031, Medical Imaging 2003: Physiology and Function: Methods, Systems, and Applications, (2 May 2003); doi: 10.1117/12.480299
Show Author Affiliations
Kun-Chang Yu, The Pennsylvania State Univ. (United States)
Erik Leo Ritman, Mayo Clinic and Foundation for Medical Education and Research (United States)
Atilla Peter Kiraly, The Pennsylvania State Univ. (United States)
Shu-Yen Wan, Chang Gung Univ. (Taiwan)
Mair Zamir, Univ. of Western Ontario (Canada)
William E. Higgins, The Pennsylvania State Univ. (United States)

Published in SPIE Proceedings Vol. 5031:
Medical Imaging 2003: Physiology and Function: Methods, Systems, and Applications
Anne V. Clough; Amir A. Amini, Editor(s)

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