Semi-automatic segmentation of prostate by directional search for edge boundaries

Juha M. Kortelainen, Kari Antila, Alain Schmitt, Charles Mougenot, Gösta Ehnholm, Rajiv Chopra

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

Abstract

Semi-automatic segmentation of the prostate boundary is presented for the pre-operational images of the MRIguided ultrasonic thermal therapy of the prostate cancer. The specific deformable surface method is based on firstly fitting an ellipsoid on the given manual landmark points, then modifying the shape of the initialization surface mesh by masking out the regions of the separately segmented bladder and rectum, and finally adapting the surface mesh by searching image for the edge boundaries in the direction of the surface normal. The suggested segmentation method combines information from two types of pre-operational MR-images showing different contrast for the tissue structure. Dice similarity coefficient (DSC) between the semi-automatic segmentation and the manual reference was on average 0.89 for a group of N=5 patients having the MRI guided ultrasound thermal treatment. The robustness of the surface fitting method was tested by simulating 30 randomized initialization sets of the landmark points for each patient, and the resulting standard deviation of DSC was 0.01.

Original languageEnglish (US)
Title of host publication22nd International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2014, Communication Papers Proceedings - in co-operation with EUROGRAPHICS Association
EditorsVaclav Skala
PublisherVaclav Skala - Union Agency
Pages285-292
Number of pages8
ISBN (Electronic)9788086943718
StatePublished - Jan 1 2015
Event22nd International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2014 - in co-operation with EUROGRAPHICS Association - Plzen, Czech Republic
Duration: Jun 2 2014Jun 5 2014

Publication series

Name22nd International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2014, Communication Papers Proceedings - in co-operation with EUROGRAPHICS Association

Other

Other22nd International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2014 - in co-operation with EUROGRAPHICS Association
CountryCzech Republic
CityPlzen
Period6/2/146/5/14

Keywords

  • Deformable Surface
  • MRI segmentation
  • Prostate

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

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  • Cite this

    Kortelainen, J. M., Antila, K., Schmitt, A., Mougenot, C., Ehnholm, G., & Chopra, R. (2015). Semi-automatic segmentation of prostate by directional search for edge boundaries. In V. Skala (Ed.), 22nd International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2014, Communication Papers Proceedings - in co-operation with EUROGRAPHICS Association (pp. 285-292). (22nd International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2014, Communication Papers Proceedings - in co-operation with EUROGRAPHICS Association). Vaclav Skala - Union Agency.