Segmentation of MRI data by means of nonlinear diffusion

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F13%3A00211571" target="_blank" >RIV/68407700:21340/13:00211571 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Segmentation of MRI data by means of nonlinear diffusion

Popis výsledku v původním jazyce

The article focuses on the application of a segmentation algorithm based on the numerical solution of the Allen-Cahn non-linear diffusion partial differential equation. This equation is related to {the} motion of curves by mean curvature. It exhibits several suitable mathematical properties including stable solution profile. This allows the user to follow accurately {the} position of the segmentation curve {by bringing} it quickly to the vicinity of the segmented object and {by approaching the details of the segmentation curve}. The purpose of the article is to indicate how the algorithm parameters are set up and to show how the algorithm behaves when applied to the particular class of medical data.

Název v anglickém jazyce

Segmentation of MRI data by means of nonlinear diffusion

Popis výsledku anglicky

The article focuses on the application of a segmentation algorithm based on the numerical solution of the Allen-Cahn non-linear diffusion partial differential equation. This equation is related to {the} motion of curves by mean curvature. It exhibits several suitable mathematical properties including stable solution profile. This allows the user to follow accurately {the} position of the segmentation curve {by bringing} it quickly to the vicinity of the segmented object and {by approaching the details of the segmentation curve}. The purpose of the article is to indicate how the algorithm parameters are set up and to show how the algorithm behaves when applied to the particular class of medical data.

Druh

O - Ostatní výsledky

CEP obor

BA - Obecná matematika

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

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