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scientific master's theses
Geometrijski deformabilni model za analizu medicinskih slika
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2003. urn:nbn:hr:168:114312
Subašić, Marko
University of Zagreb
Faculty of Electrical Engineering and Computing

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Subašić, M. (2003). Geometrijski deformabilni model za analizu medicinskih slika (Scientific master's theses). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:114312

Subašić, Marko. "Geometrijski deformabilni model za analizu medicinskih slika." Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, 2003. https://urn.nsk.hr/urn:nbn:hr:168:114312

Subašić, Marko. "Geometrijski deformabilni model za analizu medicinskih slika." Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, 2003. https://urn.nsk.hr/urn:nbn:hr:168:114312

Subašić, M. (2003). 'Geometrijski deformabilni model za analizu medicinskih slika', Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 19 April 2024, https://urn.nsk.hr/urn:nbn:hr:168:114312

Subašić M. Geometrijski deformabilni model za analizu medicinskih slika [Scientific master's theses]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2003 [cited 2024 April 19] Available at: https://urn.nsk.hr/urn:nbn:hr:168:114312

M. Subašić, "Geometrijski deformabilni model za analizu medicinskih slika", Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2003. Available at: https://urn.nsk.hr/urn:nbn:hr:168:114312

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Metadata
TitleGeometrijski deformabilni model za analizu medicinskih slika
AuthorMarko Subašić
MentorSven Lončarić (mentor)
Committee memberSven Lončarić (predsjednik povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2003, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Electronics
Universal decimal classification
(UDC)		621.3 - Electrical engineering
Abstract
Istraživacko podrucje rada je digitalna analiza medicinskih slika. Rad bavi se segmentacijom CT slika aneurizme abdominalne aorte. Motivacija za istraživanje je potreba za automatskom segmentacijom aneurizme abdominalne aorte, koja bi oslobodila lijecnike dugotrajne i zamorne rucne segmentacije. Segmentirati se može unutarnji i vanjski rub aorte. Pokazalo se da je segmentacija vanjskog ruba aorte puno veci problem od segmentacije unutarnjeg ruba, pa je glavno težište rada stavljeno na segmentaciju vanjskog ruba aorte. U prvom dijelu rada dan je kratak uvod u segmentaciju slika i deformabilne modele. Iznesena je osnovna teorija geometrijskih deformabilnih modela. U drugom dijelu rada opisana su cetiri pristupa segmentacije aneurizme abdominalne aorte, kojima je zajednicko korištenje geometrijskog deformabilnog modela. Svaki od pristupa na drugaciji nacin nastoji riješiti specificne probleme segmentacije vanjskog ruba aorte. Razvijene metode segmentacije isprobane su na nekoliko CT snimaka koje su se sastojale od nekoliko desetaka presjeka. Dva pristupa koja su pokazala najbolje rezultate testirana su na 11, odnosno 12 CT snimaka stvarnih pacijenata. Rezultati segmentiranja ta dva pristupa usporedeni su sa referentnim rezultatima koji su dobiveni rucnom segmentacijom.
Abstract (english)
The field of research of this thesis is in medical image analysis. The topic of the thesis is the segmentation of CT images of the abdominal aortic aneurysm. The research is motivated by the need for an automatic segmentation of the abdominal aortic aneurysm, that would relive physicians of tedious and time-consuming manual segmentation. Both the inner and the outer aortic border can be segmented. The segmentation of the outer aortic border presents a more difficult task than the inner aortic border segmentation. In first part of the thesis an introduction to image segmentation techniques and especially deformable model was presented. The theory of geometric deformable models is explained in more details. The second part of the thesis presents four approaches to the segmentation of abdominal aortic aneurysm. All approaches try to solve the problems of the outer aortic border segmentation in a different way, but they all use geometric deformable model as primary segmentation technique. Developed methods were tested on several CT scans. Two methods that gave best results were applied to 11 CT scans of real patients. The results were compared to reference segmentation results, obtained by manual segmentation.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:114312
Study programmeTitle: Postgraduate master programme in electrical engineering
Study programme type: university
Study level: postgraduate
Academic / professional title: Magistar znanosti elektrotehnike (Magistar znanosti elektrotehnike)
Catalog URLhttp://lib.fer.hr:8080/cgi-bin/koha/catalogue/detail.pl?biblionumber=29038
Type of resourceText
Extent131 str. ; 30 cm
File originBorn digital
Access conditionsClosed access
Terms of useLicence In copyright icon
RepositoryFER Repository
Created on2019-06-28 08:26:24

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