Medial axis registration of supine and prone CT colonography data

B. Acar, S. Napel, D. S. Paik, P. Li, J. Yee, R. B. Jeffrey, C. F. Beaulieu

Research output: Contribution to journalConference articlepeer-review

15 Scopus citations


Computed Tomographic Colonography (CTC) is a minimally invasive method that allows the examination of the colon wall from the source CT sections or in a virtual environment. The primary goal of CTC is the detection of colonic polyps. There are typically two data sets recorded in supine and prone positions. An important step in polyp detection is the anatomical registration of these datasets. We developed and experimentally validated a method to register complementary supine and prone CTC datasets anatomically, using linear stretching/shrinking operations on the medial axis colonic path based on the relative path geometries. To compare improvement in spatial registration of supine and prone datasets, a radiologist determined 5 unique reference points (RP) in the registered and unregistered datasets from each of 5 patients by viewing supine and prone data simultaneously. Initial results suggest that our algorithm is capable of registering supine and prone CTC data anatomically within an approximate range of ±13.2mm, which corresponds to 0.8% error with respect to the average colon length.

Original languageEnglish (US)
Pages (from-to)2433-2436
Number of pages4
JournalAnnual Reports of the Research Reactor Institute, Kyoto University
StatePublished - Dec 1 2001
Externally publishedYes
Event23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Istanbul, Turkey
Duration: Oct 25 2001Oct 28 2001


  • Anatomical data registration
  • CTC
  • Data fusion
  • Registering prone and supine data for CTC
  • Virtual colonography

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Mechanical Engineering


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