Tissue mixture-based inner bladder wall segmentation with applications in MRI-based virtual cystoscopy

Su Wang, Mark Wagshul, Zhengrong Liang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

As a non-invasive bladder tumor screening approach, magnetic resonance imaging (MRI)-based virtual cystoscopy (VCys) has received increasing attention for a better soft tissue contrast compared to computer tomography (CT)-based VCys. In this paper, some preliminary work on segmenting the inner boundary of bladder wall from both T1- and T2-weighted MR bladder images were presented. Via an iterative maximum a posteriori expectation-maximization (MAPEM) approach, the tissue mixture fractions inside each voxel were estimated. Considering the partial volume effect (PVE) that MR images suffer from, the advantages of such mixture-based segmentation approach are (1) statistics-based tissue mixture model that shapes each tissue type as a normal-distributed random variable, (2) closed-form mathematical MAP-EM iterative solution, and (3) capability and efficiency of the estimated tissue mixture fractions in reflecting PVE. Given the extracted inner bladder wall, manipulations could be further taken, for each individual voxel located on the inner bladder wall, to identify the outer bladder wall prior to the measurement of wall thickness. Not limited to geometrical analysis, the consideration of PVE in the study of early stage abnormality on the mucosa in the scope of VCys is believed to provide more textural information in distinguishing from neighboring artifacts about the surface deformations that is due to bladder tumors.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2009
Subtitle of host publicationBiomedical Applications in Molecular, Structural, and Functional Imaging
DOIs
Publication statusPublished - Jun 22 2009
Externally publishedYes
EventMedical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging - Lake Buena Vista, FL, United States
Duration: Feb 8 2009Feb 10 2009

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume7262
ISSN (Print)1605-7422

Other

OtherMedical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging
CountryUnited States
CityLake Buena Vista, FL
Period2/8/092/10/09

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Keywords

  • MAP-EM mixture segmentation
  • Non-invasive screening
  • Partial volume effect
  • Virtual cystoscopy

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

Cite this

Wang, S., Wagshul, M., & Liang, Z. (2009). Tissue mixture-based inner bladder wall segmentation with applications in MRI-based virtual cystoscopy. In Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging [72620Q] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 7262). https://doi.org/10.1117/12.811167