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master's thesis
Detekcija deformacije kralježnice iz rendgenskih snimaka
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2020. urn:nbn:hr:200:000303
Grbec, Lara
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Visual Computing

Institutional repository: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

Cite this document

Grbec, L. (2020). Detekcija deformacije kralježnice iz rendgenskih snimaka (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:200:000303

Grbec, Lara. "Detekcija deformacije kralježnice iz rendgenskih snimaka." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2020. https://urn.nsk.hr/urn:nbn:hr:200:000303

Grbec, Lara. "Detekcija deformacije kralježnice iz rendgenskih snimaka." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2020. https://urn.nsk.hr/urn:nbn:hr:200:000303

Grbec, L. (2020). 'Detekcija deformacije kralježnice iz rendgenskih snimaka', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 03 May 2024, https://urn.nsk.hr/urn:nbn:hr:200:000303

Grbec L. Detekcija deformacije kralježnice iz rendgenskih snimaka [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2020 [cited 2024 May 03] Available at: https://urn.nsk.hr/urn:nbn:hr:200:000303

L. Grbec, "Detekcija deformacije kralježnice iz rendgenskih snimaka", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:200:000303

Metadata
TitleDetekcija deformacije kralježnice iz rendgenskih snimaka
Title (english)Spine deformation detection from x-ray images
AuthorLara Grbec
MentorIrena Galić (mentor)
MentorHrvoje Leventić (sumentor)
Committee memberIrena Galić (predsjednik povjerenstva)
Committee memberKrešimir Nenadić (član povjerenstva)
Committee memberKrešimir Romić (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 country2020-09-28, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Program Engineering
Abstract
Cilj ovog rada je stvoriti aplikaciju Detekcija iskrivljenja kralježnice koja omogućuje liječnicima da na jednostavan i lak način iz učitane rendgenske snimke odrede metode i načine liječenja pacijenata s nekom od tri vrste iskrivljenja kralježnice putem izračunavanja kuta iskrivljenja koji ujedno daje stupanj iskrivljenja. Za obradu slike korištene su metode Canny i Threshold. Za svaku od tri vrste iskrivljenja; lordozu, kifozu i skoliozu, liječenje u medicini je drugačije, a ovisno o veličini kuta između iskrivljenih kralježaka. Samo nekoliko stupnjeva manje ili više može značiti razliku između operativnog liječenja ili, primjerice, liječenja vježbanjem. Stoga je točnost izračunavanja kuta na prvom mjestu. Ovakva aplikacija napravljena u Visual Studio-u u programskom jeziku u C# te uz EmguCV ispunila je početno zadan zadatak i mogla bi olakšati posao liječnicima, a u budućnosti svakako ima prilike za usavršavanjem i unapređenjem kako bi bila još korisnija, čime bi se i njezina primjena dodatno proširila.
Abstract (english)
The aim of this thesis is to create a Spinal Distortion Detection application that allows physicians to determine, in a simple and easy way from a loaded x-ray image, the methods and methods of treating patients with any of the three types of spinal distortion by calculating a distortion angle that also gives a degree of distortion. Canny and Threshold methods were used for image processing. For each of the three types of distortion; lordosis, kyphosis and scoliosis, the treatment in medicine is different depending on the size of the angle between the distorted vertebrae. Just a few degrees more or less can make the difference between an operative treatment or, for example, an exercise treatment. Therefore, the accuracy of the angle calculation comes first. Such an application, made in Visual Studio in C # programming language and with EmguCV, fulfilled its initial task and could make it easier for doctors, and in the future there is certainly room for improvement and to make it even more useful, making it even more useful spread.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:000303
Study programmeTitle: Graduate University Study Programme in Computer Engineering
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
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2020-12-08 07:04:53