01905nas a2200229   4500008004100000245007400041210006900115260003400184300001400218520110100232100002001333700001801353700002901371700002301400700002801423700002301451700002001474700001901494700002201513700002201535856011801557       2008                        eng d00aTechniques of Virtual Dissection of the Colon Based on Spiral CT Data0 aTechniques of Virtual Dissection of the Colon Based on Spiral CT  aBerlinbSpringer-Verlagc2008  a257 - 2683 a<p>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).</p>1 aSorantin, Erich1 aBalogh, Emese1 aBartroli, Anna, Vilanova1 aPalágyi, Kálmán1 aNyúl, László, Gábor1 aLindbichler, Franz1 aRuppert, Andrea1 aNeri, Emanuele1 aCaramella, Davide1 aBartolozzi, Carlo  uhttps://home.inf.u-szeged.hu/en/publication/techniques-of-virtual-dissection-of-the-colon-based-on-spiral-ct-data00448nas a2200121   4500008004100000020001400041245013000055210006900185260001200254300000800266490000700274856004500281       2002                        eng d  a0938-799400aMedical Image Processing, Surgical Planning, Image-Guided Therapy and Robotic Applications: Recent Developments for Radiology0 aMedical Image Processing Surgical Planning ImageGuided Therapy a  c2002///  a5040 v12  uhttps://home.inf.u-szeged.hu/en/node/93801905nas a2200133   4500008004100000020001400041245014800055210006900203260001200272300001400284490000700298520142100305856004501726       2002                        eng d  a1682-863100aVirtual dissection and automated polyp detection of the colon based on spiral CT - Techniques and preliminary experience on a cadaveric phantom0 aVirtual dissection and automated polyp detection of the colon ba  c2002///  a143 - 1490 v343 aBackground: 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.
  uhttps://home.inf.u-szeged.hu/en/node/90000309nas a2200097   4500008004100000245003600041210003600077260003900113300001400152856004500166       2002                        eng d00aVirtual Dissection of the Colon0 aVirtual Dissection of the Colon  aNew YorkbSpringer-Verlagc2002///  a197 - 209  uhttps://home.inf.u-szeged.hu/en/node/89900809nas a2200109   4500008004100000245007900041210006900120260004200189300001400231520040900245856004500654       2001                        eng d00aVirtual Dissection of the Colon Based on Helical CT Data - Can It Be Done?0 aVirtual Dissection of the Colon Based on Helical CT Data Can It   aZagrebbUniversity of Zagrebc2001///  a224 - 2293 aColorectal 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.
  uhttps://home.inf.u-szeged.hu/en/node/898