Registration of FA and T1-weighted MRI Data of Healthy Human Brain based on Template Matching and Normalized Cross-correlation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F12%3APU101581" target="_blank" >RIV/00216305:26220/12:PU101581 - isvavai.cz</a>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Registration of FA and T1-weighted MRI Data of Healthy Human Brain based on Template Matching and Normalized Cross-correlation

Popis výsledku v původním jazyce

Image registration is an essential process in a large range of medical image applications helping medical experts to increase the structural information and describe mutual relations between images. In a human brain studies it is a crucial step to spatially align diffusion tensor images (DTI) and anatomy data to quantitatively compare neural and structure features obtained from the same subject at different time-points. In this paper we propose a registration workflow for a reliable alignment of diffusion weighted fractional anisotropy (FA) images and T1-weighted high-resolution anatomical images of more than hundred subjects. Use of Template matching algorithm yields the robust inner subject registration and speed up of the registration process whichhelps in better assess of structural and functional brain connectivity. This method has been compared with well-known B-spline multiresolution registration algorithm.

Název v anglickém jazyce

Registration of FA and T1-weighted MRI Data of Healthy Human Brain based on Template Matching and Normalized Cross-correlation

Popis výsledku anglicky

Image registration is an essential process in a large range of medical image applications helping medical experts to increase the structural information and describe mutual relations between images. In a human brain studies it is a crucial step to spatially align diffusion tensor images (DTI) and anatomy data to quantitatively compare neural and structure features obtained from the same subject at different time-points. In this paper we propose a registration workflow for a reliable alignment of diffusion weighted fractional anisotropy (FA) images and T1-weighted high-resolution anatomical images of more than hundred subjects. Use of Template matching algorithm yields the robust inner subject registration and speed up of the registration process whichhelps in better assess of structural and functional brain connectivity. This method has been compared with well-known B-spline multiresolution registration algorithm.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

—

Projekt

—

Návaznosti

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název periodika

JOURNAL OF DIGITAL IMAGING

ISSN

0897-1889

e-ISSN

—

Svazek periodika

25

Číslo periodika v rámci svazku

6

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

12

Strana od-do

1-12

Kód UT WoS článku

—

EID výsledku v databázi Scopus

—