Medial Axis Registration of Supine and Prone CT Colonography Data

Abstract

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.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA411869

Entities

People

  • B. Acar
  • D. S. Paik
  • J. Yee
  • P. Li
  • S. Napel

Organizations

  • Stanford University

Tags

Communities of Interest

  • Air Platforms
  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Classification
  • Colon
  • Data Sets
  • Deflection
  • Detection
  • Detectors
  • Ileum
  • Iterations
  • Medical Personnel
  • Military Research
  • Radiology
  • X-Ray Computed Tomography

Fields of Study

  • Medicine
  • Physics

Readers

  • Cardiovascular Physiology
  • Computer Vision.
  • Oncology and Biomarker-Based Cancer Detection.