Methods for Nonlinear Intersubject Registration in Neuroscience

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14110%2F09%3A00040100" target="_blank" >RIV/00216224:14110/09:00040100 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Methods for Nonlinear Intersubject Registration in Neuroscience

Original language description

In this chapter two deformable registration methods were described: 1) a block matching technique based on parametric transformations with radial basis functions and 2) a high dimensional registration technique with nonparametric deformation models basedon spatial smoothing. The use of multimodal similarity measures was insisted. The multimodal character of the methods make them robust to tissue intensity variations which can be result of multimodality imaging as well as neuropsychological diseases oreven normal aging. One of the described algorithms was demonstrated in the field of computational neuroanatomy, particularly for fully automated spatial detection of anatomical abnormalities in first episode and chronic schizophrenia based on 3-D MRI brain scans.

Czech name

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Czech description

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Type

C - Chapter in a specialist book

CEP classification

JD - Use of computers, robotics and its application

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)

Publication year

2009

Confidentiality

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

Book/collection name

Recent Advances in Signal Processing

ISBN

978-953-307-002-5

Number of pages of the result

20

Pages from-to

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Number of pages of the book

543

Publisher name

In-Teh

Place of publication

Vukovar, Croatia

UT code for WoS chapter

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