Multi-parametrická segmentace MR snímků mozku

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F13%3APU103797" target="_blank" >RIV/00216305:26220/13:PU103797 - isvavai.cz</a>

Alternative codes found

RIV/68081731:_____/13:00398101

Result on the web

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DOI - Digital Object Identifier

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Result language

čeština

Original language name

Multi-parametric segmentation of MR images of the Brain

Original language description

This work deals with segmentation of magnetic resonance images. For better distinguishing between particular tissues, particular properties of tissues and their manifestation in different types of imaging are used. Specifically, T1 and T2 images are used. The segmentation is based on the approximation of more dimensional histograms. Since the noise distribution in MR images is close to Gaussian distribution for large signal-to-noise ratio, the approximation is done by Gaussian Mixture Model, where the number of components is determined using Bayesian Information Criterion and Elbow method.

Czech name

Multi-parametric segmentation of MR images of the Brain

Czech description

This work deals with segmentation of magnetic resonance images. For better distinguishing between particular tissues, particular properties of tissues and their manifestation in different types of imaging are used. Specifically, T1 and T2 images are used. The segmentation is based on the approximation of more dimensional histograms. Since the noise distribution in MR images is close to Gaussian distribution for large signal-to-noise ratio, the approximation is done by Gaussian Mixture Model, where the number of components is determined using Bayesian Information Criterion and Elbow method.

Type

D - Article in proceedings

CEP classification

JA - Electronics and optoelectronics

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2013

Confidentiality

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

Article name in the collection

9th International Conference on Measurement

ISBN

9788096967254

ISSN

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e-ISSN

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Number of pages

4

Pages from-to

125-128

Publisher name

Neuveden

Place of publication

Smolenice

Event location

Smolenice

Event date

May 26, 2013

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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