prikaz prve stranice dokumenta Visual tracking and reconstruction of 3D curves in medical image analysis
No public access
doctoral thesis
Visual tracking and reconstruction of 3D curves in medical image analysis
Petković, Tomislav (2010)
University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Electronic Systems and Information Processing

Cite this document

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

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

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

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 14 July 2020, https://urn.nsk.hr/urn:nbn:hr:168:047114

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 2020 July 14] Available at: https://urn.nsk.hr/urn:nbn:hr:168:047114

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

Islandora Bookmark - Please login to use this feature
Metadata
TitleVisual tracking and reconstruction of 3D curves in medical image analysis
Title (croatian)Vizualno pracenje i rekonstrukcija 3D krivulja za analizu medicinskih slika
AuthorTomislav Petković
MentorSven Lončarić (mentor)
Committee memberZoran Kalafatić (predsjednik povjerenstva)
Committee memberSven Lončarić (član povjerenstva)
Committee memberSrećko Lončarić (član povjerenstva)
Committee memberDamir Seršić (član povjerenstva)
Committee memberDavor Petrinović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
(Department of Electronic Systems and Information Processing)
Zagreb
Defense date and country2010-09-24, 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)
Languageenglish
URN:NBNurn:nbn:hr:168:047114
ProjectNumber: 036-0362214-1989
Title: Inteligentne metode obrade i analize slika
Leader: Sven Lončarić
Jurisdiction: Croatia
Funder: MZOS
Funding stream: ZP
Study programmeTitle: Computer Science
Study programme type: university
Study level: postgraduate
Academic / professional title: Doktor znanosti (Doktor znanosti)
Catalog URLhttp://lib.fer.hr/cgi-bin/koha/opac-detail.pl?biblionumber=34322
Type of resourceText
Extent158 str.
File originBorn digital
Access conditionsClosed access
Terms of useLicence In copyright icon
RepositoryFER Repository
Created on2019-03-25 12:18:42

(©) Nacionalna i sveučilišna knjižnica u Zagrebu 2015. Sva prava pridržana. | Hrvatske bratske zajednice 4 p.p. 550, 10000 Zagreb, Hrvatska Tel. ++ 385 1 616-4040
OIB: 84838770814 | IBAN: HR66 2340 0091 1000 1008 1, Porezni broj (PDV identifikacijski broj) - VAT Number: HR84838770814
Prijava u repozitorij