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master's thesis
Rekonstrukcija iz projekcija hibridnim pristupom
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:394758
Vujica, Marija
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Vujica, M. (2021). Rekonstrukcija iz projekcija hibridnim pristupom (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:394758

Vujica, Marija. "Rekonstrukcija iz projekcija hibridnim pristupom." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:394758

Vujica, Marija. "Rekonstrukcija iz projekcija hibridnim pristupom." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:394758

Vujica, M. (2021). 'Rekonstrukcija iz projekcija hibridnim pristupom', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:394758

Vujica M. Rekonstrukcija iz projekcija hibridnim pristupom [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 July 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:394758

M. Vujica, "Rekonstrukcija iz projekcija hibridnim pristupom", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:394758

Metadata
TitleRekonstrukcija iz projekcija hibridnim pristupom
Title (english)Reconstruction from Projections Using Hybrid Approach
AuthorMarija Vujica
MentorDamir Seršić (mentor)
Committee memberDamir Seršić (predsjednik povjerenstva)
Committee memberAna Sović Kržić (član povjerenstva)
Committee memberMarko Subašić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-09-16, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
PET je uobičajena medicinska tehnika snimanja koja detektira aktivnosti tijela na molekularnoj razini. Zadatak programskih potpora, kao i glavni cilj ovog rada jest rekonstrukcija niza slika snimanog tijela koristeći prikupljene projekcije i znanje o prirodi cjelokupnog sustava snimanja. U radu je najprije opisan postupak prikupljanja projekcija objekta snimanog PET uređajem. Zatim su navedene konvencionalne metode rekonstukcije poput projekcije unatrag, iterativnih metoda i drugih. Zbog potrebe za poboljšanjima postojećih sustava medicinskih snimanja, u kontekstu rekonstrukcije PET snimaka nastoje se koristiti prednosti i kvalitete metoda strojnog učenja. Stoga su nadalje navedeni standardni pristupi strojnog učenja u konkretnoj problematici. U konačnici je predložena i isprobana metoda dubokog učenja koja nudi razna poboljšanja rekonstrukcija, nakon čega slijedi demonstracija rezultata dobivenih na temelju realnih snimaka.
Abstract (english)
PET is a common medical acquisition technique that detects body activity on a molecular level. Role of computer software in this area is being main task of this academic research, which is to reconstruct series of images of captured object using acquired projection data and overall scanning system knowledge. Foremost, in this assignment there is a description of projection acquisition process given by PET scanning machine. Afterwards, some conventional reconstruction methods are listed, such as backprojection, iterative methods and so on. Due to need of having existent medical scanning systems consecutively improved, there is an idea of embedding qualities and advantage of machine learning principles in PET reconstruction problems. Hence, there were further listed some standard machine learning approaches in this specific issue. At last, a deep learning method that in some ways improves reconstructions was proposed, tested and the results were demonstrated on a set of practical real-world dataset.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:394758
Study programmeTitle: Computing
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
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Created on2023-01-13 16:30:28