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master's thesis
Segmentacija srca iz CT snimaka pomoću ITK
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2015. urn:nbn:hr:200:473515
Habijan, Marija
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Visual Computing

Institutional repository: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

Cite this document

Habijan, M. (2015). Segmentacija srca iz CT snimaka pomoću ITK (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:473515

Habijan, Marija. "Segmentacija srca iz CT snimaka pomoću ITK." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2015. https://urn.nsk.hr/urn:nbn:hr:200:473515

Habijan, Marija. "Segmentacija srca iz CT snimaka pomoću ITK." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2015. https://urn.nsk.hr/urn:nbn:hr:200:473515

Habijan, M. (2015). 'Segmentacija srca iz CT snimaka pomoću ITK', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 23 July 2024, https://urn.nsk.hr/urn:nbn:hr:200:473515

Habijan M. Segmentacija srca iz CT snimaka pomoću ITK [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2015 [cited 2024 July 23] Available at: https://urn.nsk.hr/urn:nbn:hr:200:473515

M. Habijan, "Segmentacija srca iz CT snimaka pomoću ITK", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:200:473515

Metadata
TitleSegmentacija srca iz CT snimaka pomoću ITK
Title (english)Cardiac CT heart segmentation with ITK
AuthorMarija Habijan
MentorIrena Galić (mentor)
MentorHrvoje Leventić (mentor)
Committee memberIrena Galić (predsjednik povjerenstva)
Committee memberJosip Job (član povjerenstva)
Committee memberHrvoje Leventić (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Software Engineering)
(Chair of Visual Computing)
Osijek
Defense date and country2015-10-12, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Process Computing
Abstract
Osnovni cilj rada je predstaviti sustav za segmentaciju srca iz CT slika kardiovaskularnog sustava. Predstavljena je implementacija triju metoda za segmentaciju medicinskih slika. Implementirani sustav sastoji se od dva osnovna dijela. Prvi dio je predobrada kojim se slike pripremaju za drugi dio: korak segmentacije. Opisane su teorijske osnove geometrijski deformabilnih modela, sa naglaskom na fast marching metodu, metodu detekcije oblika te metodu geodetskih aktivnih kontura. Implementacija navedenih metoda provedena je u programskom jeziku C++ uz pomoć biblioteka iz alata Insight Toolkit. Prikazani su dobiveni rezultati predobrade i segmentacije za svaku od navedenih metoda. Na kraju je prikazana usporedba dobivenih rezultata segmentacije.
Abstract (english)
The main goal of this paper is segmentation of the heart from cardiac CT images. The implementation of three methods for medical images segmentation is introduced in the paper. The action of implemented system is based on two main stages. First stage is preprocessing of the input images in which images are prepared for second stage: segmentation. Theoretical fundamentals of geometrical deformable models, with the emphasis on fast marching, shape detection and geodesic active contours are given. The system is implemented in programming language C++ with the help of libraries from Insight Toolkit. The results of efficiency are processed and displayed on actual images. Finally, comparison of obtained results is shown.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:473515
Study programmeTitle: Graduate University Study Programme in Computer Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2016-06-09 11:56:47