Methods fo Nonlinear Intersubject registration in Neuroscience

Result code in 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>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Methods fo 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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Project
<a href="/en/project/NS9893" target="_blank" >NS9893: Prediction of the outcome of initial phases of schizophrenia using brain morphology</a><br>
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

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