OCT image segmentation of the prostate nerves

Shahab Chitchian, Thomas P. Weldon, Nathaniel M. Fried

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


The cavernous nerves course along the surface of the prostate and are responsible for erectile function. Improvements in identification, imaging, and visualization of the cavernous nerves during prostate cancer surgery may improve nerve preservation and postoperative sexual potency. In this study, 2-D OCT images of the rat prostate were segmented to differentiate the cavernous nerves from the prostate gland. Three image features were employed: Gabor filter, Daubechies wavelet, and Laws filter. The features were segmented using a nearestneighbor classifier. N-ary morphological post-processing was used to remove small voids. The cavernous nerves were differentiated from the prostate gland with a segmentation error rate of only 0.058 ± 0.019.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 2009
EventApplications of Digital Image Processing XXXII - San Diego, CA, United States
Duration: Aug 3 2009Aug 5 2009


OtherApplications of Digital Image Processing XXXII
Country/TerritoryUnited States
CitySan Diego, CA

ASJC Scopus subject areas

  • Applied Mathematics
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics


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