Methods fo Nonlinear Intersubject registration in Neuroscience

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F65269705%3A_____%2F09%3A%230000825" target="_blank" >RIV/65269705:_____/09:#0000825 - isvavai.cz</a>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Methods fo Nonlinear Intersubject registration in Neuroscience

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Methods fo Nonlinear Intersubject registration in Neuroscience

Popis výsledku anglicky

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.

Druh

C - Kapitola v odborné knize

CEP obor

FL - Psychiatrie, sexuologie

OECD FORD obor

—

Projekt

<a href="/cs/project/NS9893" target="_blank" >NS9893: Predikce průběhu iniciálních fází schizofrenie pomocí morfologie mozku</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2009

Kód důvěrnosti údajů

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

Název knihy nebo sborníku

Recent Advances in Signal Processing

ISBN

978-953-307-002-5

Počet stran výsledku

20

Strana od-do

—

Počet stran knihy

264

Název nakladatele

In-Tech

Místo vydání

Vukovar

Kód UT WoS kapitoly

—