Thesis Details

Automatická segmentace periodického pohybu srdečního svalstva v ultrazvukovém záznamu

Master's Thesis Student: Munzar Milan Academic Year: 2014/2015 Supervisor: Mráček Štěpán, Ing.
English title
Automatic Segmentation of Cardiac Tissue Movement from Ultrasound Record
Language
Czech
Abstract

This thesis describes design and implementation of method, which determines beginning of heart beats in echocardiographic record. Design of this method is built around pyramidal Lucas-Kanade algorithm and fast Fourier transform. This method is implemented in C++ language with OpenCV and FFTW libraries. Analysis of the implementation has shown, that this method is sensitive to anomalies in echocardiographic record. This method is developed as a part of the project for an analysis of echocardiographic records for st. Anna hospital at Brno.

Keywords

heart physiology, echocardiographic record, time segmentation, optical flow, Lucas-Kanade method, Fourier transform

Department
Department of Intelligent Systems FIT BUT
Degree Programme
Information Technology, Field of Study Bioinformatics and Biocomputing
Files
Status
defended, grade C
Date
24 June 2015
Reviewer
Orság Filip, Ing., Ph.D.
Committee
Sekanina Lukáš, prof. Ing., Ph.D. (DCSY FIT BUT), předseda
Bartík Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Holík Lukáš, doc. Mgr., Ph.D. (DITS FIT BUT), člen
Martínek Tomáš, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Šaloun Petr, doc. RNDr., Ph.D. (VŠB-TUO), člen
Zbořil František, doc. Ing., Ph.D. (DITS FIT BUT), člen
Citation
MUNZAR, Milan. Automatická segmentace periodického pohybu srdečního svalstva v ultrazvukovém záznamu. Brno, 2015. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2015-06-24. Supervised by Mráček Štěpán. Available from: https://www.fit.vut.cz/study/thesis/17216/
BibTeX 
@mastersthesis{FITMT17216,
    author = "Milan Munzar",
    type = "Master's thesis",
    title = "Automatick\'{a} segmentace periodick\'{e}ho pohybu srde\v{c}n\'{i}ho svalstva v ultrazvukov\'{e}m z\'{a}znamu",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2015,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/17216/"
}

Theses

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