A Coupled Level Set Framework for Bladder Wall Segmentation with Application to MR Cystography

In this paper, we propose a coupled level set (LS) framework for segmentation of bladder wall using T(1)-weighted magnetic resonance (MR) images with clinical applications to virtual cystoscopy (i.e., MR cystography). The framework uses two collaborative LS functions and a regional adaptive clusteri...

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Bibliografiske detaljer
Main Authors: Duan, Chaijie, Liang, Zhengrong, Bao, Shangliang, Zhu, Hongbin, Wang, Su, Zhang, Guangxiang, Chen, John J., Lu, Hongbing
Format: Artigo
Sprog:Inglês
Udgivet: 2010
Fag:
Article
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC2894540/
https://ncbi.nlm.nih.gov/pubmed/20199924
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2009.2039756
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