@inbook {930,
	title = {Liver segment approximation in CT data for surgical resection planning},
	booktitle = {Medical Imaging 2004: Image Processing},
	year = {2004},
	note = {ScopusID: 5644267870doi: 10.1117/12.535514},
	month = {2004///},
	pages = {1435 - 1446},
	publisher = {SPIE},
	organization = {SPIE},
	address = {Bellingham; WashingtonScheele, J., Anatomical and atypical liver resection (2001) Chirurg, 72 (2), pp. 113-124;Couinaud, C., (1957) Le Foie - Etudes Anatomiques et Chirurgicales, , Masson, Paris; 
Strunk, H., Stuckmann, G., Textor, J., Willinek, W., Limit},
	abstract = {Surgical planning of liver tumor resections requires detailed three-dimensional (3D) understanding of the complex arrangement of vasculature, liver segments and tumors. Knowledge about location and sizes of liver segments is important for choosing an optimal surgical resection approach and predicting postoperative residual liver capacity. The aim of this work is to facilitate such surgical planning process by developing a robust method for portal vein tree segmentation. The work also investigates the impact of vessel segmentation on the approximation of liver segment volumes. For segment approximation, smaller portal vein branches are of importance. Small branches, however, are difficult to segment due to noise and partial volume effects. Our vessel segmentation is based on the original gray-values and on the result of a vessel enhancement filter. Validation of the developed portal vein segmentation method in computer generated phantoms shows that, compared to a conventional approach, more vessel branches can be segmented. Experiments with in vivo acquired liver CT data sets confirmed this result. The outcome of a Nearest Neighbor liver segment approximation method applied to phantom data demonstrates, that the proposed vessel segmentation approach translates into a more accurate segment partitioning.},
	author = {Reinhardt Beichel and Thomas Pock and Christian Janko and Roman B Zotter and Bernhard Reitinger and Alexander Bornik and K{\'a}lm{\'a}n Pal{\'a}gyi and Erich Sorantin and Georg Werkgartner and Horst Bischof and Milan Sonka},
	editor = {J Michael Fitzpatrick and Milan Sonka}
}
@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},
	author = {Erich Sorantin and Georg Werkgartner 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 L{\'a}szl{\'o} Rusk{\'o}}
}
@inbook {897,
	title = {Virtual dissection of the colon: technique and first experiments with artificial and cadaveric phantoms},
	booktitle = {Medical Imaging 2002: Visualization, Image-Guided Procedures, and Display},
	year = {2002},
	note = {ScopusID: 0036061143doi: 10.1117/12.466982},
	month = {2002///},
	pages = {713 - 721},
	publisher = {SPIE},
	organization = {SPIE},
	address = {Bellingham; Washington},
	abstract = {Virtual dissection refers to a display technique for polypdetection, where the colon is digitally straightened and then 
flattened using multirow detector Computed Tomograph (CT) 
images. As compared to virtual colonoscopy where polyps may be 
hidden from view behind the folds, the unravelled colon is more 
suitable for polyp detection, because the entire inner surface 
of the colon is displayed in a single view. The method was 
tested both on artificial and cadaveric phantoms. All polyps 
could be recognized on both phantoms. This technique for virtual 
dissection requires only a minimum of operator interaction.
},
	author = {Emese Balogh and Erich Sorantin and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l and K{\'a}lm{\'a}n Pal{\'a}gyi and Attila Kuba and Georg Werkgartner and Ekke Spuller},
	editor = {Seong Ki Mun}
}
