2 September 2009 OCT image segmentation of the prostate nerves
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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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shahab Chitchian, Shahab Chitchian, Thomas P. Weldon, Thomas P. Weldon, Nathaniel M. Fried, Nathaniel M. Fried, "OCT image segmentation of the prostate nerves", Proc. SPIE 7443, Applications of Digital Image Processing XXXII, 74431D (2 September 2009); doi: 10.1117/12.825506; https://doi.org/10.1117/12.825506

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