Segmentation of the bladder wall using coupled level set methods

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22 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publication2011 8th IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro, ISBI'11
PublisherIEEE Computer Society
Pages1653-1656
Number of pages4
ISBN (Print)9781424441280
DOIs
StatePublished - 2011
Externally publishedYes
Event8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2011 - Chicago, IL, United States
Duration: 30 Mar 20112 Apr 2011

Publication series

NameProceedings - International Symposium on Biomedical Imaging
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Conference

Conference8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2011
Country/TerritoryUnited States
CityChicago, IL
Period30/03/112/04/11

Keywords

  • Coupled level sets
  • bladder wall
  • feature asymmetry
  • local phase
  • monogenic signal

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