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Chi, J.W.* ; Brady, M.* ; Moore, N.R.* ; Schnabel, J.A.*

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)
DOI
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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Publikationstyp Artikel: Konferenzbeitrag
Korrespondenzautor
Schlagwörter Bladder Wall ; Coupled Level Sets ; Feature Asymmetry ; Local Phase ; Monogenic Signal
ISSN (print) / ISBN 1945-7928
e-ISSN 1945-8452
Konferenztitel 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro
Konferzenzdatum 30 March 2011 - 02 April 2011
Konferenzort Chicago, IL, USA
Quellenangaben Band: , Heft: , Seiten: 1653-1656 Artikelnummer: , Supplement: ,
Nichtpatentliteratur Publikationen
Institut(e) Institute for Machine Learning in Biomed Imaging (IML)