Publication detail

Matlab Extension for 3DSlicer: A Robust MR Image Processing Tool

MIKULKA, J.

Original Title

Matlab Extension for 3DSlicer: A Robust MR Image Processing Tool

Type

conference paper

Language

English

Original Abstract

Using magnetic resonance tomography to scan biological tissues is currently a very dynamic approach Based on various image parameters, the method enables us to analyze tissue properties, recognize healthy and pathological tissues, and diagnose the disease or indicate its progression. However, the acquired data must be correctly interpreted and visualized by means of a suitable software tool, such as 3DSlicer (http://www.slicer.org). This well-designed platform provides an interface between the user and the data available in the popular DICOM format, and it facilitates very simple 3D visualization of the MR-based data. One of the main advantages of the open-source software package is undoubtedly its ability to be extended with supplementary modules, for example the Matlab script. The paper describes the open-source environment with a focus on Slicer3D and introduces possible extension of this platform with a module for MR data processing via the three-dimensional, mutiparametric, SVM trainable segmentation method. The module is freely downloadable. The paper also presents a comparison of the processing results with respect to the cycle time and the necessary interactivity. Moreover, the author proposes multiparametric segmentation of a brain tumor edema from T1 and T2-weighted images, and the advantages of the SVM technique are compared with corresponding features of both other fast segmentation methods and the one-parameter approach.

Keywords

SVM, Matlab, 3D Slicer, MRI

Authors

MIKULKA, J.

RIV year

2014

Released

15. 9. 2014

Location

Guangzhou, Čína

ISBN

978-1-934142-28-8

Book

Proceedings of PIERS 2014 in Guangzhou

ISBN

1559-9450

Periodical

Progress In Electromagnetics

State

United States of America

Pages from

1857

Pages to

1860

Pages count

4

BibTex

@inproceedings{BUT109611,
  author="Jan {Mikulka}",
  title="Matlab Extension for 3DSlicer: A Robust MR Image Processing Tool",
  booktitle="Proceedings of PIERS 2014 in Guangzhou",
  year="2014",
  journal="Progress In Electromagnetics",
  pages="1857--1860",
  address="Guangzhou, Čína",
  isbn="978-1-934142-28-8",
  issn="1559-9450"
}