Automatic detection and Segmentation of the Tumor Tissue

Kód výsledku v IS VaVaI

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Nalezeny alternativní kódy

RIV/00216305:26220/13:PU103469

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Automatic detection and Segmentation of the Tumor Tissue

Popis výsledku v původním jazyce

MRI is a constantly developing region of medicine, which is suitable for the study of soft tissues. The current methodologies for obtaining images weighted by relaxation times give only an idea of the distribution of soft tissues. Differential diagnosisof a high-grade glioms and solitary metastases is in some cases inconclusive. Investigators in several studies have demon-strated that in perfusion MRI (magnetic resonance imaging) of high-grade glioms and solitary metastases are differences. Analysis ofthe peritumoral region could be more useful than the analysis of the tumor itself. Precise evaluation of mentioned differences in peritumoral region gives a hopeful chance for tumor diagnosis. This article describes automated detection and segmentationof the tumor and tumor edema. Automated detection of the tumor tissue area is based on the human brain symmetry. Healthy brain has a strong sagittal symmetry. Assuming the tumor is not placed symmetrically in both hemispheres, is possible

Název v anglickém jazyce

Automatic detection and Segmentation of the Tumor Tissue

Popis výsledku anglicky

MRI is a constantly developing region of medicine, which is suitable for the study of soft tissues. The current methodologies for obtaining images weighted by relaxation times give only an idea of the distribution of soft tissues. Differential diagnosisof a high-grade glioms and solitary metastases is in some cases inconclusive. Investigators in several studies have demon-strated that in perfusion MRI (magnetic resonance imaging) of high-grade glioms and solitary metastases are differences. Analysis ofthe peritumoral region could be more useful than the analysis of the tumor itself. Precise evaluation of mentioned differences in peritumoral region gives a hopeful chance for tumor diagnosis. This article describes automated detection and segmentationof the tumor and tumor edema. Automated detection of the tumor tissue area is based on the human brain symmetry. Healthy brain has a strong sagittal symmetry. Assuming the tumor is not placed symmetrically in both hemispheres, is possible

Druh

D - Stať ve sborníku

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

PIERS 2013 Taipei Proceedings

ISBN

978-1-934142-24-0

ISSN

1559-9450

e-ISSN

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Počet stran výsledku

4

Strana od-do

53-56

Název nakladatele

The Electromagnetics Academy

Místo vydání

Cambridge

Místo konání akce

Taipei

Datum konání akce

25. 3. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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