This HTML5 document contains 38 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
dctermshttp://purl.org/dc/terms/
n17http://purl.org/net/nknouf/ns/bibtex#
n8http://linked.opendata.cz/resource/domain/vavai/projekt/
n5http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n18http://linked.opendata.cz/ontology/domain/vavai/
n6https://schema.org/
shttp://schema.org/
n4http://linked.opendata.cz/ontology/domain/vavai/riv/
skoshttp://www.w3.org/2004/02/skos/core#
n13http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F65269705%3A_____%2F09%3A%230000825%21RIV10-MZ0-65269705/
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n11http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n14http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n12http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n10http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n19http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n16http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n9http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F65269705%3A_____%2F09%3A%230000825%21RIV10-MZ0-65269705
rdf:type
skos:Concept n18:Vysledek
dcterms: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 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. 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.
dcterms:title
Methods fo Nonlinear Intersubject registration in Neuroscience Methods fo Nonlinear Intersubject registration in Neuroscience
skos:prefLabel
Methods fo Nonlinear Intersubject registration in Neuroscience Methods fo Nonlinear Intersubject registration in Neuroscience
skos:notation
RIV/65269705:_____/09:#0000825!RIV10-MZ0-65269705
n4:aktivita
n10:P
n4:aktivity
P(NS9893)
n4:dodaniDat
n9:2010
n4:domaciTvurceVysledku
n5:9175474 n5:7911408
n4:druhVysledku
n16:C
n4:duvernostUdaju
n14:S
n4:entitaPredkladatele
n13:predkladatel
n4:idSjednocenehoVysledku
325701
n4:idVysledku
RIV/65269705:_____/09:#0000825
n4:jazykVysledku
n12:eng
n4:klicovaSlova
image registration; computational neuroanatomy; mutual information
n4:klicoveSlovo
n11:computational%20neuroanatomy n11:image%20registration n11:mutual%20information
n4:kontrolniKodProRIV
[A2CEA24FFDB0]
n4:mistoVydani
Vukovar
n4:nazevZdroje
Recent Advances in Signal Processing
n4:obor
n19:FL
n4:pocetDomacichTvurcuVysledku
2
n4:pocetStranKnihy
264
n4:pocetTvurcuVysledku
2
n4:projekt
n8:NS9893
n4:rokUplatneniVysledku
n9:2009
n4:tvurceVysledku
Schwarz, Daniel Kašpárek, Tomáš
s:numberOfPages
20
n17:hasPublisher
In-Tech
n6:isbn
978-953-307-002-5