Xiaopan Xu
ABSTRACT
In this study, a convex global optimization-based continuous max-flow (CGO-CMF) algorithm was proposed for the segmentation of bladder inner and outer walls on T2-weighted MR images (T2WI). Experimental results using 12 datasets of 3.0 T bladder T2WI datasets acquired from both volunteers and the patients with bladder cancer demonstrate a favorable performance and efficiency of the proposed approach for bladder segmentation, with the Dice similarity coefficient (DSC) of 89.8%, and an average time consumption of 1.2s without parallelized computation, which obviously outperformed the other traditional optimization-based approaches for bladder segmentation.
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Index Terms
- Bladder MR Image Segmentation by Convex Global Optimization of Coupled Borders
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