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Virtual colonoscopy

Published:01 February 2005Publication History
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Abstract

A computer-graphics-based alternative to conventional optical colonoscopy, known as virtual colonoscopy (VC) or computed tomography colonography (CTC), is rapidly gaining popularity. During this procedure, which was concurrently developed by our group at Stony Brook University [5] and by other researchers [10], the distended colon is imaged by a helical or multislice CT scanner. The acquired abdominal CT scan commonly consists of 350--750 axial images of 512x512 sub-millimeter resolution, providing excellent contrast between the colon wall and the lumen. A 3D model of the colon is then reconstructed from the CT scan by automatically segmenting the colon out of the rest of the abdomen and employing an electronic cleansing algorithm for computer-based removal of the residual material. The PC-based visualization software employs volume rendering and allows the user, typically a physician, to interactively navigate through the virtual 3D model of the colon. An intuitive user interface with customized tools supports measurements and virtual biopsy to inspect suspicious regions. Unlike optical colonoscopy (see the sidebar "Conventional Colorectal Cancer Screening"), VC is patient friendly since the patient undergoes less rigorous preparation prior to the procedure. VC is also a fast, noninvasive, highly accurate, cost-effective method for mass screening of colon polyps.

References

  1. Beaulieu, C., Jeffrey, R., Karadi, C., Paik, D., and Napel, S. Display modes for CT colonography part II: Blinded comparison of axial CT and virtual endoscopic and panoramic endoscopic volume-rendered studies. Radiology 212 (1999), 203--212.Google ScholarGoogle ScholarCross RefCross Ref
  2. Bitter, I., Kaufman, A., and Sato, M. Penalized-distance volumetric skeleton algorithm. IEEE Transactions on Visualization and Computer Graphics 7, 3 (July--Sept. 2001), 195--206. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Fenlon, H., Nunes, D., Schroy, P., Barish, M., Clarke, P. and Ferrucci, J. A comparison of virtual and conventional colonoscopy for the detection of colorectal polyps. New England Journal of Medicine 341 (Nov. 1999), 1496--1503.Google ScholarGoogle ScholarCross RefCross Ref
  4. Fletcher, J. et al. Optimization of CT colography technique: Prospective trial in 180 patients. Radiology 216 (2000), 704--711.Google ScholarGoogle ScholarCross RefCross Ref
  5. Hong, L., Muraki, S., Kaufman, A., Bartz, D., and He, T. Virtual voyage: Interactive navigation in the human colon. In Proceedings of ACM SIGGRAPH (Aug. 1997), 27--34. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Lakare, S., Wan, M., Sato, M., and Kaufman, A. 3D digital cleansing using segmentation rays. In Proceedings of the IEEE Visualization Conference (Oct. 2000), 37--44. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Pfister, H. and Kaufman, A. Cube-4: A scalable architecture for real-time volume visualization. In Proceedings of the Symposium on Volume Visualization (Oct. 1996), 47--54. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Pfister, H., Hardenbergh, J., Knittel, J., Lauer, H., and Seiler, L. The VolumePro real-time ray-casting system. In Proceedings of ACM SIGGRAPH (Aug. 1999), 251--260. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Pickhardt, P. et al. Computed tomographic virtual colonoscopy to screen for colorectal neoplasia in asymptomatic adults. New England Journal of Medicine 349, 23 (Dec. 2003), 2191--2200.Google ScholarGoogle ScholarCross RefCross Ref
  10. Vining, D. et al. Technical feasibility of colon imaging with helical CT and virtual reality. American Journal of Roentgenology 162 (1994), 104.Google ScholarGoogle Scholar
  11. Wax, M., Kreeger, K., and Anderson, J. Endoscopic view in virtual colonoscopy: Achieving complete surface visualization. RSNA. Chicago, (2001), 307.Google ScholarGoogle Scholar
  12. Yee, J., Akerkar, G., Hung, R., Steinauer-Gebauer, A., Wall, S., and McQuaid, K. Colorectal neoplasia: Performance characteristics of CT colonography for detection in 300 patients. Radiology 219 (2001), 685--692.Google ScholarGoogle ScholarCross RefCross Ref

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              cover image Communications of the ACM
              Communications of the ACM  Volume 48, Issue 2
              Medical image modeling
              February 2005
              93 pages
              ISSN:0001-0782
              EISSN:1557-7317
              DOI:10.1145/1042091
              Issue’s Table of Contents

              Copyright © 2005 ACM

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              Publication History

              • Published: 1 February 2005

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