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Ip, Candice Jia Xin

University of British Columbia

Luminal water imaging (LWI) is a novel quantitative MRI technique developed to aid with prostate cancer diagnosis. The results of LWI have shown significance in relating its derived parameters to the Gleason score, indicating its usefulness with prostate cancer grading. However, LWI parameters cannot show anatomical information on which radiologists rely for diagnosis. To address the lack of anatomic detail and to allow for LWI to become clinically feasible, a method for enhancing anatomical T2-Weighted (T2W) images with luminal water parametric maps is proposed. In addition to enhancing images, a U-Net model is implemented to automatically segment the prostate region and peripheral zone in T2W images. Results indicate that LWI-enhanced T2W images can provide better image contrast when compared to T2W images alone. Automatic segmentation shows a Dice coefficient score of 91.93% and 75.05% accuracy for the whole-prostate and peripheral zone segmentation, respectively. With automatic segmentation and an LWI enhancement routine, anatomical T2W images can be quickly processed to provide better cancer image diagnostics to radiologists in a clinical setting.

Text

2022-08-30

Attribution-NonCommercial-NoDerivatives 4.0 International

http://hdl.handle.net/2429/82608

Physics

University of British Columbia

UBCV

http://creativecommons.org/licenses/by-nc-nd/4.0/