Original title: Segmentace tomografických dat v prostředí 3D Slicer
Translated title: Segmetation of tomographic data in 3D Slicer
Authors: Korčuška, Robert ; Dvořák, Pavel (referee) ; Mikulka, Jan (advisor)
Document type: Master’s theses
Year: 2015
Language: cze
Publisher: Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií
Abstract: [cze] [eng]
Táto práca obsahuje základný teoretický rozbor segmentácie obrazu pomocou techniky SVM, teóriu klasifikácie dát a popis programu 3D Slicer. Práca popisuje spracovanie medicínskych obrazov a demonštruje problematiku segmentácie týchto obrazov. Obsahuje návrh a implementáciu metódy SVM v programe 3D Slicer ako rozširovací modul programu. SVM metóda je porovnaná s jednoduchými segmentačnými metódami programu 3D Slicer. Experimentálne je overená kvalita segmentácie metódou SVM na reálnych subjektoch. This thesis contains basic theoretical information about SVM-based image segmentation and data classification. Basic information about 3D Slicer software are presented. Aspects of medical images segmentation are described. Workplan and implemetation of SVM method for MRI segmentation in 3D Slicer sofware as extension module is created. SVM method is compared with simple segmentation algorithms included in 3D Slicer. Quality of segmentation, based on SVM, tested on real subjects is experimentaly demonstrated.
Keywords: 3D Slicer; data classification; image segmentation; SVM; tomographic data; 3D Slicer; klasifikácia dát; segmentácia obrazu; SVM; tomografické dáta

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/39944

Permalink: http://www.nusl.cz/ntk/nusl-220376


The record appears in these collections:
Universities and colleges > Public universities > Brno University of Technology
Academic theses (ETDs) > Master’s theses