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Proceedings Paper

Automatic boundary extraction and rectification of bony tissue in CT images using artificial intelligence techniques
Author(s): Matthew F. Y. Kwan; Kie Chung Cheung; Ian R. Gibson
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Paper Abstract

A novel approach is presented for fully automated boundary extraction and rectification of bony tissue from planar CT data. The approach extracts and rectifies feature boundary in a hierarchical fashion. It consists of a fuzzy multilevel thresholding operation, followed by a small void cleanup procedure. Then a binary morphological boundary detector is applied to extract the boundary. However, defective boundaries and undesirable artifacts may still be present. Thus two innovative anatomical knowledge based algorithms are used to remove the undesired structures and refine the erroneous boundary. Results of applying the approach on lumbar CT images are presented, with a discussion of the potential for clinical application of the approach.

Paper Details

Date Published: 6 June 2000
PDF: 10 pages
Proc. SPIE 3979, Medical Imaging 2000: Image Processing, (6 June 2000); doi: 10.1117/12.387755
Show Author Affiliations
Matthew F. Y. Kwan, Univ. of Hong Kong (Hong Kong)
Kie Chung Cheung, Univ. of Hong Kong (Hong Kong)
Ian R. Gibson, Univ. of Hong Kong (Hong Kong)

Published in SPIE Proceedings Vol. 3979:
Medical Imaging 2000: Image Processing
Kenneth M. Hanson, Editor(s)

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