prikaz prve stranice dokumenta Vizualizacija slika računarne tomografije u proširenoj stvarnosti na iOS platformi
  Download
PDF 10.53 MB
master's thesis
Vizualizacija slika računarne tomografije u proširenoj stvarnosti na iOS platformi
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2024. urn:nbn:hr:200:013114
Župarić, Adrian
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Visual Computing

Cite this document

Župarić, A. (2024). Vizualizacija slika računarne tomografije u proširenoj stvarnosti na iOS platformi (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:013114

Župarić, Adrian. "Vizualizacija slika računarne tomografije u proširenoj stvarnosti na iOS platformi." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2024. https://urn.nsk.hr/urn:nbn:hr:200:013114

Župarić, Adrian. "Vizualizacija slika računarne tomografije u proširenoj stvarnosti na iOS platformi." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2024. https://urn.nsk.hr/urn:nbn:hr:200:013114

Župarić, A. (2024). 'Vizualizacija slika računarne tomografije u proširenoj stvarnosti na iOS platformi', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 20 March 2025, https://urn.nsk.hr/urn:nbn:hr:200:013114

Župarić A. Vizualizacija slika računarne tomografije u proširenoj stvarnosti na iOS platformi [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2024 [cited 2025 March 20] Available at: https://urn.nsk.hr/urn:nbn:hr:200:013114

A. Župarić, "Vizualizacija slika računarne tomografije u proširenoj stvarnosti na iOS platformi", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:200:013114

Please login to the repository to save this object to your list.
Metadata
TitleVizualizacija slika računarne tomografije u proširenoj stvarnosti na iOS platformi
Title (english)Visualization of computerized tomography images in augmented reality on the iOS platform
AuthorAdrian Župarić
MentorIrena Galić (mentor)
MentorMarin Benčević (sumentor)
Committee memberIrena Galić (predsjednik povjerenstva)
Committee memberKrešimir Romić (član povjerenstva)
Committee memberHrvoje Leventić (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Software Engineering)
(Chair of Visual Computing)
Osijek
Defense date and country2024-10-10, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Program Engineering
Abstract
Ovaj diplomski rad bavi se razvojem i implementacijom iOS aplikacije za vizualizaciju medicinskih podataka, konkretno CT snimaka, u proširenoj stvarnosti (AR). Kroz primjenu tehnologija kao što su Metal API, ARKit, i Swift programski jezik, razvijena je aplikacija koja korisnicima pruža da u stvarnom vremenu pregledavaju i interaktivno manipuliraju trodimenzionalnim modelima dobivenim iz DICOM datoteka. Proces obrade medicinskih podataka obuhvaća konverziju DICOM datoteka u RAW format,... More čime se omogućava brža i efikasniju obradu volumetrijskih podataka unutar aplikacije. Aplikacija nudi intuitivnu interakciju korisnika s modelima, uključujući rotaciju, skaliranje i pregled unutarnjih struktura modela, čime se poboljšava korisničko iskustvo u edukativnom i kliničkom okruženju. Rad također pruža pregled ključnih tehnologija i algoritama korištenih u procesu razvoja, kao što je Ray Marching za renderiranje volumetrijskih podataka. Osim tehničkih aspekata razvoja, rad se fokusira na primjenu proširene stvarnosti u medicini, naglašavajući njenu korisnost u obrazovanju i dijagnostici, te daje uvid u izazove i potencijalne smjerove daljnjeg razvoja aplikacije. Aplikacija predstavlja značajan doprinos na polju medicinske vizualizacije, omogućavajući liječnicima i studentima medicine da na inovativan način pristupe analiziranju medicinskih podataka. Less
Abstract (english)
This thesis focuses on the development and implementation of an iOS application for visualizing medical data, specifically CT scans, in augmented reality (AR). Through the application of technologies such as Metal API, ARKit, and the Swift programming language, an application has been developed that allows users to view and interactively manipulate three-dimensional models derived from DICOM files in real time. The process of handling medical data includes the conversion of DICOM ... More files to RAW format, enabling faster and more efficient processing of volumetric data within the application. The application offers an intuitive user interaction with models, including rotation, scaling, and the examination of internal structures, thereby enhancing the user experience in educational and clinical environments. The thesis also provides an overview of key technologies and algorithms used in the development process, such as Ray Marching for volumetric data rendering. In addition to the technical aspects of development, the work focuses on the application of augmented reality in medicine, highlighting its usefulness in education and diagnostics, and offers insights into the challenges and potential directions for further development of the application. The application represents a significant contribution to the field of medical visualization, allowing doctors and medical students to analyze medical data in an innovative way. Less
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:013114
Study programmeTitle: Graduate University Study Programme in Computer Engineering
Study programme type: university
Study level: graduate
Academic / professional title: sveučilišni/a magistar/magistra inženjer/inženjerka računarstva (sveučilišni/a magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
RepositoryFaculty of Electrical Engineering, Computer Science and Information Technology Osijek
Created on2024-10-22 06:56:53
accessibility

closeAccessibilityrefresh

If you wish to permanently save changes, click on Save, if not - your settings will be reset when you restart the browser.