Abstract
We pioneered a visualization-based alternative to conventional optical colonoscopy, called virtual colonoscopy (VC), for screening patients for colonic polyps, the precursor of colon cancer. Unlike optical colonoscopy, VC is patient friendly since the patient undergoes a less rigorous bowel preparation. VC is also a fast, non-invasive, more accurate, and cost-effective procedure for mass screening of colon polyps. In VC, the patient’s abdomen is imaged by a helical or multi-slice computed tomography (CT) scanner during a 40-second singlebreath-hold. Supine and prone scans are acquired, each typically consists of 350 to 700 axial 512×512 images of sub-millimeter resolution. 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 and accurate reconstruction of the soft surface behind the removed material. This is accomplished using a novel segmentation rays algorithm. The visualization software, running on a PC, allows the physician to interactively navigate through the colon using a physically-based navigation system with fast volume rendering for visualization and the center line of the colon as a guide for the navigation. An intuitive user interface with customized tools supports measurements and virtual biopsy to inspect suspicious regions.
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References
C. F. Beaulieu, R. B. Jeffrey, and C. Karadi. Display Modes for CT Colonography Part II: Blinded Comparison of Axial CT and Virtual Endoscopic and Panoramic Endoscopic Volume-Rendered Studies. Radiology, 212:203–212, 1999.
I. Bitter, A. Kaufman, and M. Sato. Penalized-Distance Volumetric Skeleton Algorithm. IEEE Trans. on Visualization and Computer Graphics, 7(3):195–206, July–Sept. 2001.
D. Chen, Z. Liang, M. Wax, Lihong Li, B. Li, and A. Kaufman. A Novel Approach to Extract Colon Lumen from CT Images for Virtual Colonoscopy. IEEE Transactions on Medical Imaging, 19(12):1220–1226, Dec 2000.
H. M. Fenlon, D. P. Nunes, and P. C. Schroy. A Comparison of Virtual and Conventional Colonoscopy for the Detection of Colorectal Polyps. New England J. of Med., 341:1496–1503, 1999.
J. G. Fletcher, C. D. Johnson, T. J. Welch, and R. L. MacCarty. Optimization of CT Colography Technique: Prospective Trial in 180 Patients. Radiology, 216:704–711, 2000.
R. T. Greenlee, R. Murray, S. Bolden, and P. A. Wingo. Cancer Statistics 2000. Ca Cancer J Clin, 50:7–33, 2000.
L. Hong, A. Kaufman, Y. Wei, A. Viswambharn, M. Wax, and Z. Liang. 3D Virtual Colonoscopy. In Proc. Symposium on Biomedical Visualization, pp. 22–32, 1995.
L. Hong, S. Muraki, A. Kaufman, D. Bartz, and T. He. Virtual Voyage: Interactive Navigation in the Human Colon. In Proc. SIGGRAPH, pp. 27–34, 1997.
S. Lakare, D. Chen, L. Li, A. E. Kaufman, M. Wax, and Z. Liang. Electronic Colon Cleansing Using Segmentation Rays for Virtual Colonoscopyy. In Proc. SPIE Medical Imaging, Physiology and Function from Multidimensional Images, volume 4683, pp. 412–418, Feb. 2002.
S. Lakare, D. Chen, L. Li, A. E. Kaufman, M. Wax, and Z. Liang. Robust Colon Residue Detection Using Vector Quantization Based Classification for Virtual Colonoscopy. In Proc. SPIE Medical Imaging, Physiology and Function from Multidimensional Images, volume 5031, pp. 515–520, Feb. 2003.
S. Lakare and A. Kaufman. Anti-Aliased Volume Extraction. In Data Visualization 2003, Proc. of Eurographics/IEEE TCVG Visualization Symposium, pp. 113–122, May 2003.
S. Lakare, M. Wan, M. Sato, and A. Kaufman. 3D Digital Cleansing Using Segmentation Rays. In Proc. IEEE Visualization, pp. 37–44, Oct. 2000.
H. Pfister, J. Hardenbergh, J. Knittel, H. Lauer, and L. Seiler. The VolumePro Real-Time Ray-Casting System. In Proc. SIGGRAPH, pp. 251–260, Aug 1999.
H. Pfister and A. Kaufman. Cube-4-A Scalable Architecture for Real-Time Volume Rendering. In Proc. Symposium on Volume Visualization, pp. 47-ff., 1996.
P. J. Pickhardt, J. R. Choi, I. Hwang, J. A. Butler, M. L. Puckett, R. K. Wong H. A. Hildebrandt, P. A. Nugent, P. A. Mysliwiec, and W. R. Schindler. Computed Tomographic Virtual Colonoscopy to Screen for Colorectal Neoplasia in Asymptomatic Adults. New England Journal of Medicine, 349:2191–2200, Dec. 2003.
D. J. Vining, D. W. Gelfand, R. E. Bechtold, and et. al. Technical Feasibility of Colon Imaging with Helical CT and Virtual Reality (abst.). Am. J. Roentgenol, 1994.
M. Wan, F. Dachille, K. Kreeger, S. Lakare, A. Kaufman, M. Wax, and J. Liang. Interactive Electronic Biopsy for 3D Virtual Colonscopy. In Proc. SPIE Medical Imaging, Physiology and Function from Multidimensional Images, volume 4321, pp. 483–488, Feb. 2001.
M. Wan, A. Kaufman, and S. Bryson. High Performance Presence-Accelerated Ray Casting. In Proc. IEEE Visualization, pp. 379–386, 1999.
M. Wan, Q. Tang, A. Kaufman, Z. Liang, and M. Wax. Volume Rendering Based Interactive Navigation within the Human Colon. In Proc. IEEE Visualization, pp. 397–400, 1999.
M. Wax, K. Kreeger, and J. Anderson. Endoscopic View in Virtual Colonoscopy: Achieving Complete Surface Visualization (abst.). In RSNA, page 307, Nov 2001.
R. Yagel and Z. Shi. Accelerating Volume Animation by Space-Leaping. In Proc. IEEE Visualization, pp. 62–69, 1993.
J. Yee, G. A. Akerkar, and R. K. Hung. Colorectal Neoplasia: Performance Characteristics of CT Colonography for Detection in 300 Patients. Radiology, 219:685–692, 2001.
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Kaufman, A., Lakare, S. (2006). Fantastic Voyage of the Virtual Colon. In: Bonneau, GP., Ertl, T., Nielson, G.M. (eds) Scientific Visualization: The Visual Extraction of Knowledge from Data. Mathematics and Visualization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-30790-7_10
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DOI: https://doi.org/10.1007/3-540-30790-7_10
Publisher Name: Springer, Berlin, Heidelberg
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