Prostate Contours Delineation using Interactive Directional Active Contours Model and Parametric Shape Prior Model

Research output: Contribution to journalArticle

Authors

  • Foued Derraz
  • Gerard Forzy
  • Arnaud Delebarre
  • A Abdelmalik
  • Taleb Ahmed
  • Laurent Peyrodie
  • Sebastien Verclytte

Colleges, School and Institutes

Abstract

Prostate contours delineation on Magnetic Resonance (MR) images is a challenging and important task in medical imaging with applications of guiding biopsy, surgery and therapy. While a fully automated method is highly desired for this application, it can be a very difficult task due to the structure and surrounding tissues of the prostate gland. Traditional active contours based delineation algorithms are typically quite successful for piecewise constant images. Nevertheless, when MR images have diffuse edges or multiple
similar objects (e.g., bladder close to prostate) within close proximity, such approaches have proven to be unsuccessful. In order to mitigate these problems, we proposed a new framework for bi-stage contours delineation algorithm based on Directional Active Contours (DAC) incorporating prior knowledge of the
prostate shape. We first explicitly addressed the prostate contour delineation problem based on fast globally DAC that incorporates both statistical and parametric shape prior model. In doing so, we were able to exploit the global aspects of contour delineation problem by incorporating a user feedback in contours delineation process where it is shown that only a small amount of user input can sometimes resolve ambiguous scenarios raised by DAC. In addition, once the prostate contours have been delineated, a cost functional is designed to incorporate both user feedback interaction and the parametric shape prior model. Using data from publicly available prostate MR datasets, which includes several challenging clinical data sets, we highlighted the effectiveness and the capability of the proposed algorithm. Besides, the algorithm has been compared to several state-of-the-art methods.

Details

Original languageEnglish
Article numbere02726
Number of pages37
JournalInternational Journal for Numerical Methods in Biomedical Engineering
Volume31
Issue number11
Early online date24 Jun 2015
Publication statusPublished - Nov 2015