Thesis Details

Detekce, extrakce a měření délky záprstních kostí v rentgenových snímcích lidské ruky

Bachelor's Thesis Student: Chalupnik Alexandr Academic Year: 2021/2022 Supervisor: Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D.
English title
Detection, Extraction and Measurement of the Length of the Metacarpal Bones in X-Rays of the Human Hand
Language
Czech
Abstract

The aim of the bachelor thesis is the design and implementation of an algorithm for the detection, extraction and measurement of the length of the metacarpal bones in x-rays of the human hand. The first part is focused on the principles of x-rays and the anatomy of the human hand. The second part contains the design and implementation of the task. The algorithm is based on image processing methods, such as thresholding or edge detection. In the end, the measurement results are evaluated on a set of images, which were provided by the Department of Anthropology at Masaryk University.

Keywords

image processing, metacarpus, x-ray, hand, bones, Python, OpenCV, detection, extraction

Department
Degree Programme
Information Technology
Files
Status
defended, grade B
Date
14 June 2022
Reviewer
Committee
Čadík Martin, doc. Ing., Ph.D. (DCGM FIT BUT), předseda
Bařina David, Ing., Ph.D. (DCGM FIT BUT), člen
Burget Radek, doc. Ing., Ph.D. (DIFS FIT BUT), člen
Češka Milan, doc. RNDr., Ph.D. (DITS FIT BUT), člen
Mrázek Vojtěch, Ing., Ph.D. (DCSY FIT BUT), člen
Citation
CHALUPNIK, Alexandr. Detekce, extrakce a měření délky záprstních kostí v rentgenových snímcích lidské ruky. Brno, 2022. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2022-06-14. Supervised by Drahanský Martin. Available from: https://www.fit.vut.cz/study/thesis/25258/
BibTeX
@bachelorsthesis{FITBT25258,
    author = "Alexandr Chalupnik",
    type = "Bachelor's thesis",
    title = "Detekce, extrakce a m\v{e}\v{r}en\'{i} d\'{e}lky z\'{a}prstn\'{i}ch kost\'{i} v rentgenov\'{y}ch sn\'{i}mc\'{i}ch lidsk\'{e} ruky",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2022,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/25258/"
}
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