Detail publikace

Multiparametric Biological Tissue Analysis: A Survey of Image Processing Tools

MIKULKA, J.

Originální název

Multiparametric Biological Tissue Analysis: A Survey of Image Processing Tools

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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. These activities are then necessarily accompanied by the processing of the acquired images. The paper introduces a comparison of statistical tools for the trainable segmentation of multiparametric data obtained through magnetic resonance tomography. In this context, the author briefly compares various available tools (Weka, Slicer3D, and RapidMiner) in view of the input data training and testing, applicability of the classification models, and ability of the input/output data to be extended with other systems for further processing. The paper also describes as a multiparametric task the segmentation of a brain tumor performed with real MR data. The source of the data consists in T1 and T2-weighted images. The proposed segmentation method is carried out within the following phases: data resampling; spatial data coregistration; definition of the training points; training of the SVM classification model; testing of the model and interpretation of the classification results.

Klíčová slova

SVM, image segmentation, data mining

Autoři

MIKULKA, J.

Rok RIV

2014

Vydáno

15. 9. 2014

Místo

Guangzhou, Čína

ISBN

978-1-934142-28-8

Kniha

Proceedings of PIERS 2014 in Guangzhou

ISSN

1559-9450

Periodikum

Progress In Electromagnetics

Stát

Spojené státy americké

Strany od

1861

Strany do

1864

Strany počet

4

BibTex

@inproceedings{BUT109610,
  author="Jan {Mikulka}",
  title="Multiparametric Biological Tissue Analysis: A Survey of Image Processing Tools",
  booktitle="Proceedings of PIERS 2014 in Guangzhou",
  year="2014",
  journal="Progress In Electromagnetics",
  pages="1861--1864",
  address="Guangzhou, Čína",
  isbn="978-1-934142-28-8",
  issn="1559-9450"
}