Visual tracking and reconstruction of 3D curves in medical image analysis

Petković, Tomislav

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doctoral thesis

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Visual tracking and reconstruction of 3D curves in medical image analysis

Tomislav Petković (2010)

University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Electronic Systems and Information Processing

Cite this document...

APA 6th Edition

Petković, T. (2010). Visual tracking and reconstruction of 3D curves in medical image analysis (Doctoral thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:047114

MLA 8th Edition

Petković, Tomislav. "Visual tracking and reconstruction of 3D curves in medical image analysis." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2010. https://urn.nsk.hr/urn:nbn:hr:168:047114

Chicago 17th Edition

Harvard

Petković, T. (2010). 'Visual tracking and reconstruction of 3D curves in medical image analysis', Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 18 June 2019, https://urn.nsk.hr/urn:nbn:hr:168:047114

Vancouver

Petković T. Visual tracking and reconstruction of 3D curves in medical image analysis [Doctoral thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2010 [cited 2019 June 18] Available at: https://urn.nsk.hr/urn:nbn:hr:168:047114

IEEE

T. Petković, "Visual tracking and reconstruction of 3D curves in medical image analysis", Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2010. Available at: https://urn.nsk.hr/urn:nbn:hr:168:047114

Cite this item: https://urn.nsk.hr/urn:nbn:hr:168:047114

Metadata

Title	Visual tracking and reconstruction of 3D curves in medical image analysis
Title (croatian)	Vizualno pracenje i rekonstrukcija 3D krivulja za analizu medicinskih slika
Author	Tomislav Petković
Mentor	Sven Lončarić (mentor)
Committee member	Zoran Kalafatić (predsjednik povjerenstva)
Committee member	Sven Lončarić (član povjerenstva)
Committee member	Srećko Lončarić (član povjerenstva)
Committee member	Damir Seršić (član povjerenstva)
Committee member	Davor Petrinović (član povjerenstva)
Granter	University of Zagreb Faculty of Electrical Engineering and Computing (Department of Electronic Systems and Information Processing) Zagreb
Defense date and country	2010-09-24, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Computing Data Processing
Universal decimal classification (UDC)	004 GENERALLY Computer science and technology. Computing. Data processing
Abstract	Visual tracking of moving objects is one of important open problems in the field of computer vision. Due to complexity instead of general purpose only solutions for well-defined applications are usually considered. Furthermore, visual tracking in the field of bio-medicine is often based on transmissive and projective acquisition model making existing procedures not applicable as the acquisition model is not compatible. Better results can be achieved by utilizing methods adapted to the acquisition model. In this work a modular tracking algorithm to visually track moving objects that are represented by a 3D curve is presented. Described algorithm is adapted to the acquisition model. As the acquisition geometry is projective reconstruction of the position and orientation is also discussed with limitations to reconstruction uniqueness and accuracy given in regard to the number of views. Guide-wire tracking during minimally invasive intravascular interventions is used as an example.
Abstract (croatian)	Vizualno pracenje pokretnih objekata predstavlja jedan od vaznih otvorenih problema racunalnog vida. Zbog slozenosti problema se umjesto opceg konstruiraju algoritmi samo za usko denirane primjene. Nadalje, vizualno pracenje u bio-medicini se cesto temelj na transmisijskom projektivnom snimanju pa postoje ci postupci nisu prikladni jer ne odgovaraju takvom modelu snimanja. Bolji rezultati se mogu ocekivati upotrebom metoda prilagodenih takvom snimanju. U okviru disertacije predlozen je modularni postupak za vizualno pracenje pokretnih objekata koji se mogu priblizno opisati 3D krivuljom. Opisani postupak je dodatno prilagoden transmisijskom projektivnom snimanju. Kako se radi o projektivnom snimanju 3D objekta osim pracenja razmatra se i problem rekonstrukcije polozaja i orijentacije te se daju ogranicenja na jedinstvenost i tocnost rekonstrukcije ovisno o broju dostupnih pogleda. Kao primjer primjene daje se pracenje katetera tijekom minimalno invazivnih vaskularnih zahvata.
Keywords
Keywords (croatian)
Language	english
URN:NBN	urn:nbn:hr:168:047114
Project	Number: 036-0362214-1989 Title: Inteligentne metode obrade i analize slika Leader: Sven Lončarić Jurisdiction: Croatia Funder: MZOS Funding stream: ZP
Study programme	Title: Računarstvo Study programme type: sveučilišni Study level: poslijediplomski znanstveni (doktorski) Academic / professional title: Doktor znanosti (Doktor znanosti)
Type of resource	text
Extent	158 str.
File origin	Born digital
Access conditions	Closed access
Terms of use
Repository	FER Repository
Created on	2019-03-25 12:18:42