OCT image segmentation of the prostate nerves

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

doi:10.1117/12.825506

2 September 2009 OCT image segmentation of the prostate nerves

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

Proceedings Volume 7443, Applications of Digital Image Processing XXXII; 74431D (2009) https://doi.org/10.1117/12.825506
Event: SPIE Optical Engineering + Applications, 2009, San Diego, California, United States

Abstract

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.

Citation Download Citation

Shahab Chitchian, Thomas P. Weldon, and Nathaniel M. Fried "OCT image segmentation of the prostate nerves", Proc. SPIE 7443, Applications of Digital Image Processing XXXII, 74431D (2 September 2009); https://doi.org/10.1117/12.825506

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