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Statements

Subject Item
n2:RIV%2F67985823%3A_____%2F10%3A00347031%21RIV11-GA0-67985823
rdf:type
n20:Vysledek skos:Concept
dcterms:description
Elastic registration is a task of finding the matching of two images, using geometric and elastic transformations, so that objects in images have the same size, position and orientation. We apply elastic registration in the framework of volume reconstruction, where an object acquired from parallel physical sections is composed and mutual positions of the sections including deformations caused by their cutting have to be found. The method lies in optimizing a functional consisting of two parts: first, discrete total variation as a measure of roughness and, second, L1 norm as a measure of dissimilarity of images. As a parallelizable optimization strategy we apply a potential-based equivalent transformation of a (max,+)-labelling problem. CUDA-based implementation of the described elastic registration algorithm is reasonably fast, requires seconds to minutes of calculations, provides good results and, thus, can be used for practical tasks dealing with alignment of biomedical images Elastic registration is a task of finding the matching of two images, using geometric and elastic transformations, so that objects in images have the same size, position and orientation. We apply elastic registration in the framework of volume reconstruction, where an object acquired from parallel physical sections is composed and mutual positions of the sections including deformations caused by their cutting have to be found. The method lies in optimizing a functional consisting of two parts: first, discrete total variation as a measure of roughness and, second, L1 norm as a measure of dissimilarity of images. As a parallelizable optimization strategy we apply a potential-based equivalent transformation of a (max,+)-labelling problem. CUDA-based implementation of the described elastic registration algorithm is reasonably fast, requires seconds to minutes of calculations, provides good results and, thus, can be used for practical tasks dealing with alignment of biomedical images
dcterms:title
Elastic registration of biomedical images on CUDA-Supported graphics procesor units Elastic registration of biomedical images on CUDA-Supported graphics procesor units
skos:prefLabel
Elastic registration of biomedical images on CUDA-Supported graphics procesor units Elastic registration of biomedical images on CUDA-Supported graphics procesor units
skos:notation
RIV/67985823:_____/10:00347031!RIV11-GA0-67985823
n3:aktivita
n16:P n16:Z
n3:aktivity
P(GA102/08/0691), P(GA304/09/0733), P(LC06063), Z(AV0Z50110509)
n3:dodaniDat
n13:2011
n3:domaciTvurceVysledku
n8:4096193 n8:1487221 n8:6691587 n8:3658023
n3:druhVysledku
n21:D
n3:duvernostUdaju
n18:S
n3:entitaPredkladatele
n14:predkladatel
n3:idSjednocenehoVysledku
256614
n3:idVysledku
RIV/67985823:_____/10:00347031
n3:jazykVysledku
n6:eng
n3:klicovaSlova
volume reconstruction; elastic alignment; CUDA
n3:klicoveSlovo
n5:CUDA n5:elastic%20alignment n5:volume%20reconstruction
n3:kontrolniKodProRIV
[30EEAD8306D5]
n3:mistoKonaniAkce
Brno
n3:mistoVydani
Brno
n3:nazevZdroje
Analysis of biomedical signals and images
n3:obor
n17:JD
n3:pocetDomacichTvurcuVysledku
4
n3:pocetTvurcuVysledku
4
n3:projekt
n9:GA102%2F08%2F0691 n9:GA304%2F09%2F0733 n9:LC06063
n3:rokUplatneniVysledku
n13:2010
n3:tvurceVysledku
Janáček, Jiří Čapek, Martin Kubínová, Lucie Michálek, Jan
n3:typAkce
n19:WRD
n3:zahajeniAkce
2010-06-27+02:00
n3:zamer
n12:AV0Z50110509
s:numberOfPages
6
n11:hasPublisher
University of technology
n7:isbn
978-80-214-4106-4