Automatic detection and Segmentation of the Tumor Tissue

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081731%3A_____%2F13%3A00395167" target="_blank" >RIV/68081731:_____/13:00395167 - isvavai.cz</a>
Alternative codes found
RIV/00216305:26220/13:PU103469
Result on the web
—
DOI - Digital Object Identifier
—

Result language
angličtina
Original language name
Automatic detection and Segmentation of the Tumor Tissue
Original language description
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
Czech name
—
Czech description
—

Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Similar results(10)