A new electronic colon cleansing method for virtual colonoscopy

Hong Li, Su Wang, Jing Wang, Daria Eremina, Xinzhou Wei, Zhengrong Liang

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

2 Scopus citations


Virtual colonoscopy has been developed as a non-invasive, safe, and low-cost method to evaluate colon polyps. Implementation and efficiency of virtual colonoscopy requires rigorous cleansing of colon prior to the examination. Electronic colon cleansing is a new technology that virtually clean stool residues tagged with contrast agents from the obtained computed tomography (CT) images. From our previous studies on electronic colon cleansing, we found that residual stool and fluid are often problematic for optimal viewing of colon. In this paper, we focus on developing a model-based approach to correct both non-uniformity and partial volume effects appearing in regions of bone and tagged stool residues. A statistical method for maximum a posterior probability (MAP) was developed to identify and virtually clean the tagged stool residuals. In calculating the solution, the well-known expectation maximization (EM) algorithm is employed. Experimental results of electronic colon cleansing are promising.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2007
Subtitle of host publicationPhysiology, Function, and Structure from Medical Images
EditionPART 2
StatePublished - 2007
EventMedical Imaging 2007: Physiology, Function, and Structure from Medical Images - San Diego, CA, United States
Duration: Feb 18 2007Feb 20 2007

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
NumberPART 2
ISSN (Print)1605-7422


OtherMedical Imaging 2007: Physiology, Function, and Structure from Medical Images
Country/TerritoryUnited States
CitySan Diego, CA


  • Electronic colon cleansing
  • Expectation maximization
  • Non-uniformity
  • Virtual colonoscopy

ASJC Scopus subject areas

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


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