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Description
  • Parallel MRI is a way to use multiple receiver coils with distinct spatial sensitivities to increase the speed of the MRI acquisition. The acquisition is speeded up by undersampling in the phase-encoding direction and the resulting data loss and aliasing is compensated for by the use of the additional information obtained from several receiver coils. The task is to reconstruct an unaliased image from a series of aliased images. We have proposed an algorithm called PROBER that takes advantage of the smoothness of the reconstruction transformation in space. B-spline functions are used to approximate the reconstruction transformation. Their coefficients are estimated at once minimizing the total expected reconstruction error. This makes the reconstruction less sensitive to noise in the reference images and areas without signal in the image. We show that this approach outperforms the SENSE and GRAPPA reconstruction methods for certain coil configurations. In this article, we propose anothe
  • Parallel MRI is a way to use multiple receiver coils with distinct spatial sensitivities to increase the speed of the MRI acquisition. The acquisition is speeded up by undersampling in the phase-encoding direction and the resulting data loss and aliasing is compensated for by the use of the additional information obtained from several receiver coils. The task is to reconstruct an unaliased image from a series of aliased images. We have proposed an algorithm called PROBER that takes advantage of the smoothness of the reconstruction transformation in space. B-spline functions are used to approximate the reconstruction transformation. Their coefficients are estimated at once minimizing the total expected reconstruction error. This makes the reconstruction less sensitive to noise in the reference images and areas without signal in the image. We show that this approach outperforms the SENSE and GRAPPA reconstruction methods for certain coil configurations. In this article, we propose anothe (en)
  • Parallel MRI is a way to use multiple receiver coils with distinct spatial sensitivities to increase the speed of the MRI acquisition. The acquisition is speeded up by undersampling in the phase-encoding direction and the resulting data loss and aliasing is compensated for by the use of the additional information obtained from several receiver coils. The task is to reconstruct an unaliased image from a series of aliased images. We have proposed an algorithm called PROBER that takes advantage of the smoothness of the reconstruction transformation in space. B-spline functions are used to approximate the reconstruction transformation. Their coefficients are estimated at once minimizing the total expected reconstruction error. This makes the reconstruction less sensitive to noise in the reference images and areas without signal in the image. We show that this approach outperforms the SENSE and GRAPPA reconstruction methods for certain coil configurations. In this article, we propose anothe (cs)
Title
  • Continuous criterion for parallel MRI reconstruction using B-spline approximation (PROBER)
  • Continuous criterion for parallel MRI reconstruction using B-spline approximation (PROBER) (en)
  • Continuous criterion for parallel MRI reconstruction using B-spline approximation (PROBER) (cs)
skos:prefLabel
  • Continuous criterion for parallel MRI reconstruction using B-spline approximation (PROBER)
  • Continuous criterion for parallel MRI reconstruction using B-spline approximation (PROBER) (en)
  • Continuous criterion for parallel MRI reconstruction using B-spline approximation (PROBER) (cs)
skos:notation
  • RIV/68407700:21230/07:03134568!RIV08-AV0-21230___
http://linked.open.../vavai/riv/strany
  • 43;53
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1ET101050403)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 414934
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/07:03134568
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • MRI; b-splines; parallel MRI (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [AE33A3E7C5BE]
http://linked.open...v/mistoKonaniAkce
  • San Diego, California
http://linked.open...i/riv/mistoVydani
  • Bellingham
http://linked.open...i/riv/nazevZdroje
  • SPIE 2007, Medical Imaging 2007: Image Processing
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Kybic, Jan
  • Petr, Jan
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • SPIE
https://schema.org/isbn
  • 978-0-8194-6630-3
http://localhost/t...ganizacniJednotka
  • 21230
is http://linked.open...avai/riv/vysledek of
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