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as soon as is submitted to ZB.
Segmentation of the bladder wall using coupled level set methods.
In: (2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 30 March 2011 - 02 April 2011, Chicago, IL, USA). 2011. 1653-1656 (Proceedings - International Symposium on Biomedical Imaging)
We describe a novel method to segment the bladder wall in magnetic resonance imaging (MRI) to support the detection of disease, such as endometriosis, and for surgical planning. We segment the inner and outer wall boundary using T2- and T1-weighted MRI images, respectively. A new coupling technique for level sets is formulated and tested on 54 T2- and T1-weighted image pairs. A local phase based dimensionless feature asymmetry measurement using the monogenic signal is used. The results are validated against manual segmentations using the Dice similarity coefficient. Our findings show that the coupling significantly improves the segmentation by preventing leakage due to weak image features and MR bias field. This method shows promising potential for other segmentation tasks involving thin, elongated structures. © 2011 IEEE.
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Publication type
Article: Conference contribution
Keywords
Bladder Wall ; Coupled Level Sets ; Feature Asymmetry ; Local Phase ; Monogenic Signal
ISSN (print) / ISBN
1945-7928
e-ISSN
1945-8452
Conference Title
2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro
Conference Date
30 March 2011 - 02 April 2011
Conference Location
Chicago, IL, USA
Quellenangaben
Pages: 1653-1656
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Institute(s)
Institute for Machine Learning in Biomed Imaging (IML)