Platformski neovisna udaljena vizualizacija volumnih medicinskih podataka

Jozić, Krešimir

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doctoral thesis

Platformski neovisna udaljena vizualizacija volumnih medicinskih podataka

Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:296996

Jozić, Krešimir

University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Electronics, Microelectronics, Computer and Intelligent Systems

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APA 6th Edition

Jozić, K. (2022). Platformski neovisna udaljena vizualizacija volumnih medicinskih podataka (Doctoral thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:296996

MLA 8th Edition

Jozić, Krešimir. "Platformski neovisna udaljena vizualizacija volumnih medicinskih podataka." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:296996

Chicago 17th Edition

Harvard

Jozić, K. (2022). 'Platformski neovisna udaljena vizualizacija volumnih medicinskih podataka', Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 21 September 2023, https://urn.nsk.hr/urn:nbn:hr:168:296996

Vancouver

Jozić K. Platformski neovisna udaljena vizualizacija volumnih medicinskih podataka [Doctoral thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2023 September 21] Available at: https://urn.nsk.hr/urn:nbn:hr:168:296996

IEEE

K. Jozić, "Platformski neovisna udaljena vizualizacija volumnih medicinskih podataka", Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:296996

Cite this item: https://urn.nsk.hr/urn:nbn:hr:168:296996

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Metadata

Title	Platformski neovisna udaljena vizualizacija volumnih medicinskih podataka
Title (english)	Cross-platform remote visualization and volume rendering of medical data
Author	Krešimir Jozić MBZ: 41674
Mentor	Željka Mihajlović (mentor)
Committee member	Alan Jović (predsjednik povjerenstva)
Committee member	Tomislav Hrkać (član povjerenstva)
Committee member	Goran Krstačić (član povjerenstva)
Granter	University of Zagreb Faculty of Electrical Engineering and Computing (Department of Electronics, Microelectronics, Computer and Intelligent Systems) Zagreb
Defense date and country	2022-07-14, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Computing
Universal decimal classification (UDC)	004 - Computer science and technology. Computing. Data processing
Abstract	Radiološke snimke pohranjene u DICOM obliku zbog svoje veličine mogu predstavljati problem korisnicima jer su računala na kojima se pregledavaju pod-optimalna. Učitavanje takvih snimki, kao i generiranih volumnih podataka, traje dugo što demotivira korisnike. U slučaju da se snimke ne pregledavaju u ustanovi u kojoj su nastale, prenose se na optičkim ili USB medijima. Kako se snimke obično pregledavaju samo jednom, optički mediji se odbacuju, a to kao posljedicu ima onečišćenje okoliša. Ako se snimke prenose preko Interneta i dalje ostaje problem pod-optimalnih računala ali i cijene usluge korištenja Interneta. Situacija je dodatno pogoršana COVID-19 pandemijom što otežava prijenos medija. Osim toga, rad od kuće je uzrokovao povećanu potražnju za poluvodičima, što je dovelo do nestašice i porasta cijene poluvodiča na tržištu. Disertacija je usmjerena na rješavanje problema tako da predstavi rješenje za daljinsko iscrtavanje radioloških snimki. Rješenje je predstavljeno kroz tri dijela: izradu modela programske potpore, arhitekturu i tehničku analizu ostvarenog sustava. Provedeno istraživanje pokazuje da je moguće ostvariti prikazivanje pojedinačnih slojeva radiološke snimke gotovo trenutno što korisnicima olakšava rad te ubrzava postavljanje dijagnoze.
Abstract (english)	Radiological images stored in DICOM format, due to their size, can be a problem for users because the computers on which they are viewed are sub-optimal. Loading such recordings, as well as generating volume data, takes a long time, which demotivates users. In case the recordings are not reviewed in the institution where they were created, they are transferred on optical or USB media. As recordings are usually viewed only once, the optical media is discarded, resulting in environmental pollution. If the recordings are transferred via the Internet, the problem of sub-optimal computers and the price of the Internet usage service remains. The situation is further aggravated by the COVID-19 pandemic, which makes media transmission difficult. In addition, working from home has caused an increased demand for semiconductors, leading to a shortage and an increase in the price of semiconductors in the market. The dissertation is aimed at solving the problem by presenting a solution for the remote rendering of radiological images. The solution is presented in three parts: the creation of a program support model, architecture, and technical analysis of the realized system. The conducted research shows that it is possible to display the individual layers of the radiological image almost instantly, which makes it easier for users to work and speeds up the diagnosis.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:168:296996
Promotion	2022
Study programme	Title: Computer Science Study programme type: university Study level: postgraduate Academic / professional title: Doktor znanosti (Doktor znanosti)
Type of resource	Text
Extent	viii, ii, 78 str : graf. prikazi
File origin	Born digital
Access conditions	Open access
Terms of use
Repository	FER Repository
Created on	2022-09-05 08:12:17