Snake-Aided Automatic Organ Delineation

Weibing Xu, Saad A. Amin, Olivier C.L. Haas, Keith J. Burnham, John A. Mills

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

Abstract

This paper presents a knowledge-based image segmentation tool for organ delineation in CT (Computed Tomography) images. The noise and low contrast make the detection difficult. Therefore in this method, radial search, noise reduction method and post-processing algorithm have been implemented to improve the quality of contour detection. Three edge detection algorithms have been used and after detection several optimization methods have been employed to get the accurate contour from three detected contours. Finally to achieve higher accuracy of detection, active contour model (ACM), snake, has been used after the contour detected by previous methods.
Original languageEnglish
Title of host publicationPattern Recognition: 26th DAGM Symposium, Tübingen, Germany, August 30 - September 1, 2004. Proceedings
EditorsCarl Edward Rasmussen, Heinrich H. Bülthoff, Bernhard Schölkopf, Martin A. Giese
PublisherSpringer Verlag
Pages504-511
Number of pages8
VolumeLecture Notes in Computer Science 3175
ISBN (Print)978-3-540-22945-2
DOIs
Publication statusPublished - 2004
EventDAGM Symposium 2004 - Tubingen, Germany
Duration: 30 Aug 20041 Sep 2004

Conference

ConferenceDAGM Symposium 2004
CountryGermany
CityTubingen
Period30/08/041/09/04

Bibliographical note

This article is not yet available on the repository. The paper was given at the 26th DAGM Symposium, Tübingen, Germany, August 30 - September 1, 2004.

Keywords

  • Pattern Recognition
  • Image Processing and Computer Vision
  • Artificial Intelligence (incl. Robotics)
  • Computer Graphics
  • Algorithm Analysis and Problem Complexity

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  • Cite this

    Xu, W., Amin, S. A., Haas, O. C. L., Burnham, K. J., & Mills, J. A. (2004). Snake-Aided Automatic Organ Delineation. In C. E. Rasmussen, H. H. Bülthoff, B. Schölkopf, & M. A. Giese (Eds.), Pattern Recognition: 26th DAGM Symposium, Tübingen, Germany, August 30 - September 1, 2004. Proceedings (Vol. Lecture Notes in Computer Science 3175, pp. 504-511). Springer Verlag. https://doi.org/10.1007/978-3-540-28649-3_62