TY - CHAP T1 - Techniques of Virtual Dissection of the Colon Based on Spiral CT Data T2 - Image Processing in Radiology Y1 - 2008 A1 - Erich Sorantin A1 - Emese Balogh A1 - Anna Vilanova Bartroli A1 - Kálmán Palágyi A1 - László Gábor Nyúl A1 - Franz Lindbichler A1 - Andrea Ruppert ED - Emanuele Neri ED - Davide Caramella ED - Carlo Bartolozzi AB -

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).

JF - Image Processing in Radiology PB - Springer-Verlag CY - Berlin N1 - doi: 10.1007/978-3-540-49830-8_18 ER - TY - CONF T1 - Számítógépes képfeldolgozás oktatása a Szegedi Tudományegyetemen T2 - A Képfeldolgozók és Alakfelismerők Társaságának konferenciája - KÉPAF 2004 Y1 - 2004 A1 - Antal Nagy A1 - Emese Balogh A1 - Mariann Dudásné Nagy A1 - Attila Kuba A1 - Eörs Máté A1 - Kálmán Palágyi A1 - Endre Katona A1 - Zoltan Kato A1 - László Gábor Nyúl A1 - Attila Tanacs ED - Zoltán Gácsi ED - Péter Barkóczy ED - Gábor Sárközi AB -

Az SZTE Informatikai Tanszékcsoportja által gondozott szakoktanterveiben 1993 óta szerepel a képfeldolgozás és alkalmazásainak oktatása. A kreditrendszer bevezetésével a Képfeldolgozás I. tárgy kötelező az ötéves képzésben részt vevő informatikus hallgatóknak. Ezen felül a választható szakirányok között szintén szerepel a Képfeldolgozás szakirány. A szakirányon belül különböző képpfeldolgozási területeket tárgyaló kurzusok épülnek egymásra. Az elméleti megalapozás mellett a képfeldolgozás alkalmazásaira is nagy hangsúlyt fektetünk. A kutatások illetve az orvosi alkalmazások fejlesztése során szerzett eredményeket a kötelező jellegű tárgyak mellett speciálkollégiumok keretében építjül be az otkatási anyagba. Számos hallgatónk választ a képfeldolgzás területéről témát a diplomamunkájához, dolgozataikkal rendszeresen és sikerrel szerepelnek az OTDK-n. Hallgatóink évente több hónapot tölthetnek külföldi partneregyetemeinken, ahol a kutató- és fejlesztőmunka mellett nálunk is elfogadott kurzusokat teljesíthetnek. A képfeldolgozás témakörön belül "ipari" projekt munkákban is egyre több hallgató vesz részt. A doktori programon belül is meghirdetünk képfeldolgozáshoz kapcsolódó kutatási irányokat. Az évente megrendezésre kerülő, 11-éves múltra visszatekintő Képfeldolgozó Nyári Iskolának (SSIP) eddig hatszor adott otthont Szeged. A rendszvénysorozat kiemelkedő fontosságú nemzetközi fórum hallgatóink és oktatóink számára is.

JF - A Képfeldolgozók és Alakfelismerők Társaságának konferenciája - KÉPAF 2004 PB - Neumann János Számítógép-tudományi Társaság CY - Miskolc ER - TY - CONF T1 - Composition of Radiography Pictures of Whole Helicopter Rotor Blades in Hungary T2 - 7th World Conference on Neutron Radiography (WCNR) Y1 - 2002 A1 - Márton Balaskó A1 - Zoltán Balaskó A1 - Emese Balogh A1 - Attila Tanacs A1 - Endre Katona A1 - Attila Kuba JF - 7th World Conference on Neutron Radiography (WCNR) ER - TY - JOUR T1 - Medical Image Processing, Surgical Planning, Image-Guided Therapy and Robotic Applications: Recent Developments for Radiology JF - EUROPEAN RADIOLOGY Y1 - 2002 A1 - R J Bale A1 - W Birkfellner A1 - Erich Sorantin A1 - H Staedele A1 - J Kettenbach A1 - W Recheis A1 - M Voegele A1 - R Sweeney A1 - P Kovács A1 - R Wegenkittl A1 - G Bodner A1 - W Jaschke A1 - D zur Nedden A1 - E Eisner A1 - G Kronreig A1 - M Furst A1 - R Hanel A1 - M Figl A1 - H Bergmann A1 - D Hanson A1 - László Ruskó A1 - Lajos Rodek A1 - Kálmán Palágyi A1 - Anna Vilanova Bartroli A1 - László Gábor Nyúl A1 - A L Jacob A1 - B Baumann A1 - Emese Balogh A1 - P Messmer VL - 12 SN - 0938-7994 IS - 1 Suppl N1 - doi: 10.1007/s00330-002-0004-7 JO - EUR RADIOL ER - TY - JOUR T1 - Reconstruction of convex 2D discrete sets in polynomial time JF - Theoretical Computer Science Y1 - 2002 A1 - Attila Kuba A1 - Emese Balogh AB -

The reconstruction problem is considered in those classes of discrete sets where the reconstruction can be performed from two projections in polynomial time. The reconstruction algorithms and complexity results are summarized in the case of hv-convex sets, hv-convex 8-connected sets, hv-convex polyominoes, and directed h-convex sets. As new results some properties of the feet and spines of the hv-convex 8-connected sets are proven and it is shown that the spine of such a set can be determined from the projections in linear time. Two algorithms are given to reconstruct hv-convex 8-connected sets. Finally, it is shown that the directed h-convex sets are uniquely reconstructible with respect to their row and column sum vectors.

VL - 283 ER - TY - JOUR T1 - Virtual dissection and automated polyp detection of the colon based on spiral CT - Techniques and preliminary experience on a cadaveric phantom JF - EUROPEAN SURGERY - ACTA CHIRURGICA AUSTRIACA Y1 - 2002 A1 - Erich Sorantin A1 - Georg Werkgartner A1 - Emese Balogh A1 - Anna Vilanova Bartroli A1 - Kálmán Palágyi A1 - László Gábor Nyúl A1 - László Ruskó AB - 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. VL - 34 SN - 1682-8631 IS - 2 N1 - ScopusID: 0037000327doi: 10.1046/j.1563-2563.2002.02018.x JO - EUR SURG-ACA ER - TY - CHAP T1 - Virtual Dissection of the Colon T2 - Képfeldolgozók és Alakfelismerők III. Konfereciája Y1 - 2002 A1 - Emese Balogh A1 - Erich Sorantin A1 - László Gábor Nyúl A1 - Kálmán Palágyi A1 - Attila Kuba ED - Attila Kuba ED - Eörs Máté ED - Kálmán Palágyi JF - Képfeldolgozók és Alakfelismerők III. Konfereciája PB - NJSZT-KÉPAF CY - Szeged ER - TY - CHAP T1 - Virtual Dissection of the Colon T2 - 3D Image Processing Y1 - 2002 A1 - Erich Sorantin A1 - Emese Balogh A1 - Anna Vilanova Bartroli A1 - Kálmán Palágyi A1 - László Gábor Nyúl A1 - Sven Lončarić A1 - Marco Subasic A1 - Domagoj Kovacevic ED - Davide Caramella ED - Carlo Bartolozzi JF - 3D Image Processing PB - Springer-Verlag CY - New York N1 - doi: 10.1007/978-3-642-59438-0_18 ER - TY - CHAP T1 - Virtual dissection of the colon: technique and first experiments with artificial and cadaveric phantoms T2 - Medical Imaging 2002: Visualization, Image-Guided Procedures, and Display Y1 - 2002 A1 - Emese Balogh A1 - Erich Sorantin A1 - László Gábor Nyúl A1 - Kálmán Palágyi A1 - Attila Kuba A1 - Georg Werkgartner A1 - Ekke Spuller ED - Seong Ki Mun AB - 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. JF - Medical Imaging 2002: Visualization, Image-Guided Procedures, and Display PB - SPIE CY - Bellingham; Washington N1 - ScopusID: 0036061143doi: 10.1117/12.466982 ER - TY - JOUR T1 - Comparison of algorithms for reconstructing hv-convex discrete sets JF - Linear Algebra and its Applications Y1 - 2001 A1 - Emese Balogh A1 - Attila Kuba A1 - Csaba Devenyi A1 - Alberto Del Lungo VL - 339 ER - TY - JOUR T1 - A sequential 3D thinning algorithm and its medical applications JF - LECTURE NOTES IN COMPUTER SCIENCE Y1 - 2001 A1 - Kálmán Palágyi A1 - Erich Sorantin A1 - Emese Balogh A1 - Attila Kuba A1 - Csongor Halmai A1 - Balázs Erdőhelyi A1 - Klaus Hausegger VL - 2082 SN - 0302-9743 UR - http://www.springerlink.com/content/py49qu0e434n0n16 N1 - doi: 10.1007/3-540-45729-1_42 JO - LECT NOTES COMPUT SCI ER - TY - CHAP T1 - Virtual Dissection of the Colon Based on Helical CT Data - Can It Be Done? T2 - Proceedings of the 2nd International Symposium on Image and Signal Processing and Analysis, ISPA 2001, Pula, Croatia Y1 - 2001 A1 - Erich Sorantin A1 - Emese Balogh A1 - Anna Vilanova Bartroli A1 - Kálmán Palágyi A1 - László Gábor Nyúl ED - Sven Lončarić ED - Hrvoje Babic AB - 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. JF - Proceedings of the 2nd International Symposium on Image and Signal Processing and Analysis, ISPA 2001, Pula, Croatia PB - University of Zagreb CY - Zagreb N1 - doi: 10.1109/ISPA.2001.938632 ER -