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@inbook{868855,
author = {Schwarz, Daniel and Kašpárek, Tomáš},
address = {Vukovar, Croatia},
booktitle = {Recent Advances in Signal Processing},
edition = {1},
keywords = {image registration;computational neuroanatomy;mutual information},
language = {eng},
location = {Vukovar, Croatia},
isbn = {978-953-307-002-5},
pages = {49-68},
publisher = {In-Teh},
title = {Methods for Nonlinear Intersubject Registration in Neuroscience},
year = {2009}
}
TY - CHAP
ID - 868855
AU - Schwarz, Daniel - Kašpárek, Tomáš
PY - 2009
TI - Methods for Nonlinear Intersubject Registration in Neuroscience
VL - Neuveden
PB - In-Teh
CY - Vukovar, Croatia
SN - 9789533070025
KW - image registration;computational neuroanatomy;mutual information
N2 - 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 based on 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 or even 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.
ER -
SCHWARZ, Daniel a Tomáš KAŠPÁREK. Methods for Nonlinear Intersubject Registration in Neuroscience. In \textit{Recent Advances in Signal Processing}. 1. vyd. Vukovar, Croatia: In-Teh, 2009, s.~49-68. ISBN~978-953-307-002-5.
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