%0 Book Section %B Image Processing in Radiology %D 2008 %T Techniques of Virtual Dissection of the Colon Based on Spiral CT Data %A Erich Sorantin %A Emese Balogh %A Anna Vilanova Bartroli %A Kálmán Palágyi %A László Gábor Nyúl %A Franz Lindbichler %A Andrea Ruppert %E Emanuele Neri %E Davide Caramella %E Carlo Bartolozzi %X

Colorectal cancer represents the third most commonly diagnosedcancer and is the second leading cause of cancer deaths in the United States (Gazelle et al. 2000). In addition, colorectal cancer is responsible for about 11% of all new cancer cases per year (Gazelle et al. 2000). Five-year prognosis is about 90% for patients with localized disease compared to 60% if there is a regional spread and a drop to 10% in patients with distant metastasis (Gazelle et al. 2000). In the field of medicine there is a widely accepted opinion that most colorectal cancers arise from pre-existent adenomatous polyps (Johnson 2000). Therefore, different societies, such as the American Cancer Society, have proposed screening for colorectal cancer (Byers et al. 1997; Winawer et al. 1997). Today, different options exist for detection of colorectal cancer, including digital rectal examination, fecal occult blood testing, flexible and rigid sigmoidoscopy, barium enema and its variants, colonoscopy and recently computed tomography or magnetic resonance-based virtual colonography (Gazelle et al. 2000).

%B Image Processing in Radiology %I Springer-Verlag %C Berlin %P 257 - 268 %8 2008 %G eng %9 Book chapter %R 10.1007/978-3-540-49830-8_18 %0 Journal Article %J EUROPEAN RADIOLOGY %D 2002 %T Medical Image Processing, Surgical Planning, Image-Guided Therapy and Robotic Applications: Recent Developments for Radiology %B EUROPEAN RADIOLOGY %V 12 %P 504 %8 2002/// %@ 0938-7994 %G eng %N 1 Suppl %! EUR RADIOL %0 Journal Article %J EUROPEAN SURGERY - ACTA CHIRURGICA AUSTRIACA %D 2002 %T Virtual dissection and automated polyp detection of the colon based on spiral CT - Techniques and preliminary experience on a cadaveric phantom %X Background: CT colonography was found to be sensitive andspecific for detection of colonic polyps and colorectal cancer (CRC). Depending on the software used, CT colonography requires a certain amount of operator interaction, which limits it's widespread usage. The goal of this papers is to present two novel automated techniques for displaying CT colonography: virtual dissection and automated colonic polyp detection. Methods: Virtual dissection refers to a technique where the entire colon is virtually stretched and flattened thus simulating the view on the pathologist's table. Colonic folds show a 'global outward bulging of the contour', whereas colonic polyps exhibit the inverse ('local inward bulging'). This feature is used to map areas of 'local inward bulging' with colours on 3D reconstructions. A cadaveric phantom with 13 artificially inserted polyps was used for validation of both techniques. Results: On virtual dissection all 13 inserted polyps could be identified. They appeared either as bumps or as local broadening of colonic folds. In addition, the automated colonic polyp detection algorithm was able to tag all polyps. Only 10 min of operator interaction were necessary for both techniques. Conclusions: Virtual dissection overcomes the shortcomings of CT colonography, and automated colonic polyp detection establishes a roadmap of the polyps. %B EUROPEAN SURGERY - ACTA CHIRURGICA AUSTRIACA %V 34 %P 143 - 149 %8 2002/// %@ 1682-8631 %G eng %N 2 %! EUR SURG-ACA %0 Book Section %B 3D Image Processing %D 2002 %T Virtual Dissection of the Colon %B 3D Image Processing %I Springer-Verlag %C New York %P 197 - 209 %8 2002/// %G eng %0 Book Section %B Proceedings of the 2nd International Symposium on Image and Signal Processing and Analysis, ISPA 2001, Pula, Croatia %D 2001 %T Virtual Dissection of the Colon Based on Helical CT Data - Can It Be Done? %X Colorectal cancer is the third most commonly diagnosed cancer;and colonic polyps are known precursors of that particular cancer. Virtual dissection refers to a display technique for polyp detection based on helical CT data, where the colon is dissected and flattened as on the pathologist's table. The approach and image processing as well as the early experience are described in this paper. %B Proceedings of the 2nd International Symposium on Image and Signal Processing and Analysis, ISPA 2001, Pula, Croatia %I University of Zagreb %C Zagreb %P 224 - 229 %8 2001/// %G eng