@inbook {914,
	title = {Techniques of Virtual Dissection of the Colon Based on Spiral CT Data},
	booktitle = {Image Processing in Radiology},
	year = {2008},
	note = {doi: 10.1007/978-3-540-49830-8_18},
	month = {2008},
	pages = {257 - 268},
	publisher = {Springer-Verlag},
	organization = {Springer-Verlag},
	type = {Book chapter},
	address = {Berlin},
	abstract = {<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>},
	doi = {10.1007/978-3-540-49830-8_18},
	author = {Erich Sorantin and Emese Balogh and Anna Vilanova Bartroli and K{\'a}lm{\'a}n Pal{\'a}gyi and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l and Franz Lindbichler and Andrea Ruppert},
	editor = {Emanuele Neri and Davide Caramella and Carlo Bartolozzi}
}
@article {938,
	title = {Medical Image Processing, Surgical Planning, Image-Guided Therapy and Robotic Applications: Recent Developments for Radiology},
	journal = {EUROPEAN RADIOLOGY},
	volume = {12},
	year = {2002},
	note = {doi: 10.1007/s00330-002-0004-7},
	month = {2002///},
	pages = {504},
	isbn = {0938-7994}
}
@article {900,
	title = {Virtual dissection and automated polyp detection of the colon based on spiral CT - Techniques and preliminary experience on a cadaveric phantom},
	journal = {EUROPEAN SURGERY - ACTA CHIRURGICA AUSTRIACA},
	volume = {34},
	year = {2002},
	note = {ScopusID: 0037000327doi: 10.1046/j.1563-2563.2002.02018.x},
	month = {2002///},
	pages = {143 - 149},
	abstract = {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{\textquoteright}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{\textquoteright}s table. Colonic folds 
show a {\textquoteright}global outward bulging of the contour{\textquoteright}, whereas colonic 
polyps exhibit the inverse ({\textquoteright}local inward bulging{\textquoteright}). This 
feature is used to map areas of {\textquoteright}local inward bulging{\textquoteright} 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.
},
	isbn = {1682-8631}
}
@inbook {899,
	title = {Virtual Dissection of the Colon},
	booktitle = {3D Image Processing},
	year = {2002},
	note = {doi: 10.1007/978-3-642-59438-0_18},
	month = {2002///},
	pages = {197 - 209},
	publisher = {Springer-Verlag},
	organization = {Springer-Verlag},
	address = {New York}
}
@inbook {898,
	title = {Virtual Dissection of the Colon Based on Helical CT Data - Can It Be Done?},
	booktitle = {Proceedings of the 2nd International Symposium on Image and Signal Processing and Analysis, ISPA 2001, Pula, Croatia},
	year = {2001},
	note = {doi: 10.1109/ISPA.2001.938632},
	month = {2001///},
	pages = {224 - 229},
	publisher = {University of Zagreb},
	organization = {University of Zagreb},
	address = {Zagreb},
	abstract = {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{\textquoteright}s table. The 
approach and image processing as well as the early experience 
are described in this paper.
}
}
