Abstract #4033

Optimal b-Value for Superpixel based Automatic Prostate Gland Segmentation using Diffusion-Weighted Imaging

Dharmesh Singh¹, Sayantan Bhattacharya², Virendra Kumar³, Chandan J Das⁴, Anup Singh^1,5, and Amit Mehndiratta^1,5

¹Centre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India, ²Department of Electronics & Communication Engineering, Amity University, Noida, India, ³Department of NMR, All India Institute of Medical Sciences Delhi, New Delhi, India, ⁴Department of Radiology, All India Institute of Medical Sciences Delhi, New Delhi, India, ⁵Department of Biomedical Engineering, All India Institute of Medical Sciences Delhi, New Delhi, India

Accurate segmentation of the prostate gland is a challenging task due to the high variability of prostatic anatomic structures. The diagnostic accuracy of diffusion-weighted-imaging (DWI) to detect prostate cancer (PCa) is well established. Proper delineation using DWI of the prostate gland can take an essential part in the computer-aided-diagnosis of PCa. The purpose of this study is to automatic segmentation of prostate-gland using superpixel-based segmentation in DWI and select the optimal b-value of DWI for segmentation. Experimental results provide a close match to radiologist manual delineation and able to determine the optimal b-value of DWI for superpixel-based prostate-gland segmentation.

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