Segmentation of multispectral bladder MR images with inhomogeneity correction for virtual cystoscopy

Lihong Li, Zhengrong Liang, Su Wang, Hongyu Lu, Xinzhou Wei, Mark Wagshul, Marlene Zawin, Erica J. Posniak, Christopher S. Lee

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

8 Scopus citations

Abstract

Virtual cystoscopy (VC) is a developing noninvasive, safe, and low-cost technique for bladder cancer screening. Multispectral (T1- and T 2-weighted) magnetic resonance (MR) images provide a better tissue contrast between bladder wall and bladder lumen comparing with computed tomography (CT) images. The intrinsic T1 and T2 contrast of the urine against the bladder wall eliminates the invasive air insufflation procedure which is often used in CT-based VC. We propose a new partial volume (PV) segmentation scheme with inhomogeneity correction to segment multispectral MR images for tumor screening by virtual cystoscopy. The proposed PV segmentation algorithm automatically estimates the bias field and segments tissue mixtures inside each voxel of MR images, thus preserving texture information. Experimental results indicate that the present scheme is promising towards mass screening by virtual cystoscopy means.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2008 - Physiology, Function, and Structure from Medical Images
DOIs
StatePublished - Jun 2 2008
Externally publishedYes
EventMedical Imaging 2008 - Physiology, Function, and Structure from Medical Images - San Diego, CA, United States
Duration: Feb 17 2008Feb 19 2008

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume6916
ISSN (Print)1605-7422

Other

OtherMedical Imaging 2008 - Physiology, Function, and Structure from Medical Images
CountryUnited States
CitySan Diego, CA
Period2/17/082/19/08

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Keywords

  • Inhomogeneity correction
  • Multispectral MR images
  • Non-invasive screening
  • Partial volume segmentation
  • 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

Li, L., Liang, Z., Wang, S., Lu, H., Wei, X., Wagshul, M., Zawin, M., Posniak, E. J., & Lee, C. S. (2008). Segmentation of multispectral bladder MR images with inhomogeneity correction for virtual cystoscopy. In Medical Imaging 2008 - Physiology, Function, and Structure from Medical Images [69160U] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 6916). https://doi.org/10.1117/12.769914