6 June 2000 Automatic boundary extraction and rectification of bony tissue in CT images using artificial intelligence techniques
Author Affiliations +
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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Matthew F. Y. Kwan, Kie Chung Cheung, Ian R. Gibson, "Automatic boundary extraction and rectification of bony tissue in CT images using artificial intelligence techniques", Proc. SPIE 3979, Medical Imaging 2000: Image Processing, (6 June 2000); doi: 10.1117/12.387755; https://doi.org/10.1117/12.387755
PROCEEDINGS
10 PAGES


SHARE
RELATED CONTENT

A watermarking algorithm for map and chart images
Proceedings of SPIE (March 21 2005)
Segmentation of moving object in complex environment
Proceedings of SPIE (February 08 2005)
A multiresolutional algorithm for halftone detection
Proceedings of SPIE (March 14 2005)
Protocol-independent brain MRI segmentation method
Proceedings of SPIE (May 09 2002)

Back to Top