Parallel elastic image registration based on TFETI method with local refinement

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F15%3A86100593" target="_blank" >RIV/61989100:27740/15:86100593 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.4203/ccp.107.18" target="_blank" >http://dx.doi.org/10.4203/ccp.107.18</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.4203/ccp.107.18" target="_blank" >10.4203/ccp.107.18</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Parallel elastic image registration based on TFETI method with local refinement

Popis výsledku v původním jazyce

Medical images are increasingly being used within healthcare for diagnosis, planning treatment and monitoring disease progression. The images acquired at different times, with different imaging modalities, from different subjects etc. often provide an additional clinical information that is not revealed in the separate images. Given two images, the goal of image registration is to find an optimal transformation in such way that one image becomes, in a certain sense, similar to the second one. In this paper, elastic image registration is used which assumes that the images are two different observations of an elastic body. The related elasticity problem is solved by using the Total FETI, which is a variant of the finite element tearing and interconnecting (FETI) domain decomposition method for massively parallel numerical solution of elliptic partial differential equations with optimal complexity. Because the medical images usually contain a small area of changes, a regular discretization results in a waste of computational resources (especially in three-dimensions). To avoid this, adaptive mesh refinement is used, with a coarser grid with local refinement in the region of interest. Parallelisation of the adaptive mesh refinement algorithm was done using the software tool KAIRA.

Název v anglickém jazyce

Parallel elastic image registration based on TFETI method with local refinement

Popis výsledku anglicky

Medical images are increasingly being used within healthcare for diagnosis, planning treatment and monitoring disease progression. The images acquired at different times, with different imaging modalities, from different subjects etc. often provide an additional clinical information that is not revealed in the separate images. Given two images, the goal of image registration is to find an optimal transformation in such way that one image becomes, in a certain sense, similar to the second one. In this paper, elastic image registration is used which assumes that the images are two different observations of an elastic body. The related elasticity problem is solved by using the Total FETI, which is a variant of the finite element tearing and interconnecting (FETI) domain decomposition method for massively parallel numerical solution of elliptic partial differential equations with optimal complexity. Because the medical images usually contain a small area of changes, a regular discretization results in a waste of computational resources (especially in three-dimensions). To avoid this, adaptive mesh refinement is used, with a coarser grid with local refinement in the region of interest. Parallelisation of the adaptive mesh refinement algorithm was done using the software tool KAIRA.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: Centrum excelence IT4Innovations</a><br>

Návaznosti

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

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

Civil-Comp proceedings. Volume 107

ISBN

978-1-905088-62-1

ISSN

1759-3433

e-ISSN

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Počet stran výsledku

14

Strana od-do

"nestrankovano"

Název nakladatele

Civil-Comp Press

Místo vydání

Kippen, Stirlingshire

Místo konání akce

Dubrovník

Datum konání akce

24. 3. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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