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Statements

Subject Item
n2:RIV%2F00216208%3A11320%2F11%3A10105773%21RIV12-MSM-11320___
rdf:type
n9:Vysledek skos:Concept
dcterms:description
B-Spline based image registration has gained significant attention in the last decade especially in the field of medical image processing. Despite the good properties of B-Splines in this setting such as locality, low number of parameters and scalability there is still room for improvement in speed if we want to employ the method in a more complicated data processing pipeline. We can dramatically improve performance by smarter computation of integrals inside the fitting process. We found out that in some cases we can improve convergence rate in orders of magnitude using Monte Carlo with importance sampling. But in the case of euclidean distance map based criterion importance sampling may fail. Random Monte Carlo works well and also Quasi Monte Carlo based integration gives reasonable results. The choice of sampling strategy always depends on a chosen criterion and data at hand. B-Spline based image registration has gained significant attention in the last decade especially in the field of medical image processing. Despite the good properties of B-Splines in this setting such as locality, low number of parameters and scalability there is still room for improvement in speed if we want to employ the method in a more complicated data processing pipeline. We can dramatically improve performance by smarter computation of integrals inside the fitting process. We found out that in some cases we can improve convergence rate in orders of magnitude using Monte Carlo with importance sampling. But in the case of euclidean distance map based criterion importance sampling may fail. Random Monte Carlo works well and also Quasi Monte Carlo based integration gives reasonable results. The choice of sampling strategy always depends on a chosen criterion and data at hand.
dcterms:title
Improving B-spline deformation based fitting for volume registration Improving B-spline deformation based fitting for volume registration
skos:prefLabel
Improving B-spline deformation based fitting for volume registration Improving B-spline deformation based fitting for volume registration
skos:notation
RIV/00216208:11320/11:10105773!RIV12-MSM-11320___
n9:predkladatel
n10:orjk%3A11320
n3:aktivita
n19:S n19:Z
n3:aktivity
S, Z(MSM0021620843)
n3:dodaniDat
n5:2012
n3:domaciTvurceVysledku
n7:6481388 n7:9204784
n3:druhVysledku
n13:D
n3:duvernostUdaju
n21:S
n3:entitaPredkladatele
n14:predkladatel
n3:idSjednocenehoVysledku
203965
n3:idVysledku
RIV/00216208:11320/11:10105773
n3:jazykVysledku
n6:eng
n3:klicovaSlova
B-Spline; Quasi-Monte Carlo; Registration
n3:klicoveSlovo
n8:Quasi-Monte%20Carlo n8:B-Spline n8:Registration
n3:kontrolniKodProRIV
[CB41D39BACB1]
n3:mistoKonaniAkce
Malá Morávka
n3:mistoVydani
Ostrava
n3:nazevZdroje
Sborník příspěvků 31. konference o geometrii a grafice
n3:obor
n16:IN
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
4
n3:rokUplatneniVysledku
n5:2011
n3:tvurceVysledku
Velemínská, Jana Bejdová, Šárka Pelikán, Josef Krajíček, Václav
n3:typAkce
n4:CST
n3:zahajeniAkce
2011-09-05+02:00
n3:zamer
n18:MSM0021620843
s:numberOfPages
16
n17:hasPublisher
Vysoká škola báňská - Technická univerzita Ostrava
n22:isbn
978-80-248-2524-3
n20:organizacniJednotka
11320