Regular Articles

Method for the automatic detection and segmentation of the spinal canal in computed tomographic images

[+] Author Affiliations
Rangaraj M. Rangayyan

University of Calgary, Department of Electrical and Computer Engineering, Schulich School of Engineering and Department of Radiology, 2500 University Drive Northwest, Calgary, Alberta T2N 1N4 Canada

Hanford J. Deglint

University of Calgary, Department of Electrical and Computer Engineering, Schulich School of Engineering, 2500 University Drive Northwest, Calgary, Alberta T2N 1N4 Canada

Graham S. Boag

University of Calgary, Department of Radiology, 2500 University Drive Northwest, Calgary, Alberta T2N 1N4 and Alberta Children’s Hospital, 1820 Richmond Road Southwest, Calgary, Alberta T2T 5C7 Canada

J. Electron. Imaging. 15(3), 033007 (September 08, 2006). doi:10.1117/1.2234770
History: Received May 09, 2005; Revised December 16, 2005; Accepted January 06, 2006; Published September 08, 2006
Text Size: A A A

A method for the automatic 3-D segmentation of the spinal canal in computed tomographic (CT) images is presented. The method uses a priori radiological and anatomical information, mathematical morphology, and region-growing methods. The skin and peripheral fat structures are determined by delineating the air and other materials external to the body. Using the fat layer as a reference, the bone structure is segmented. The Hough transform for the detection of circles is applied to a cropped bone edge map that includes the thoracic vertebral structure. The centers of the detected circles are used to derive the information required for the fuzzy connectivity algorithm that is employed to segment the spinal canal. In a preliminary study, the method successfully segmented the spinal canal in eight CT volumes of four patients, with Hausdorff distances with reference to contours drawn independently by a radiologist in the range 1.7±0.8mm.

Figures in this Article
© 2006 SPIE and IS&T

Citation

Rangaraj M. Rangayyan ; Hanford J. Deglint and Graham S. Boag
"Method for the automatic detection and segmentation of the spinal canal in computed tomographic images", J. Electron. Imaging. 15(3), 033007 (September 08, 2006). ; http://dx.doi.org/10.1117/1.2234770


Tables

Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

PubMed Articles
Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.