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.
|Title of host publication||22nd International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2014|
|Subtitle of host publication||Communication Papers Proceedings|
|Publisher||Vaclav Skala Union Agency|
|Number of pages||8|
|Publication status||Published - 1 Jan 2015|
|MoE publication type||Not Eligible|
|Event||22nd International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2014 - Plzen, Czech Republic|
Duration: 2 Jun 2014 → 5 Jun 2014
|Conference||22nd International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2014|
|Abbreviated title||WSCG 2014|
|Period||2/06/14 → 5/06/14|
- Deformable Surface
- MRI segmentation
Kortelainen, J. M., Antila, K. J., Schmitt, A., Mougenot, C., Ehnholm, G. J., & 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 (pp. 285-292). Vaclav Skala Union Agency.