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Spatiotemporal phase unwrapping for real-time phase-contrast flow MRI.
Untenberger, Markus; Hüllebrand, Markus; Tautz, Lennart; Joseph, Arun A; Voit, Dirk; Merboldt, K Dietmar; Frahm, Jens.
  • Untenberger M; Biomedizinische NMR Forschungs GmbH am Max-Planck Institut für biophysikalische Chemie, Göttingen, Germany.
  • Hüllebrand M; Fraunhofer MEVIS Institute for Medical Image Computing, Bremen, Germany.
  • Tautz L; Fraunhofer MEVIS Institute for Medical Image Computing, Bremen, Germany.
  • Joseph AA; Biomedizinische NMR Forschungs GmbH am Max-Planck Institut für biophysikalische Chemie, Göttingen, Germany.
  • Voit D; German Center for Cardiovascular Research (DZHK), Göttingen, Germany.
  • Merboldt KD; Biomedizinische NMR Forschungs GmbH am Max-Planck Institut für biophysikalische Chemie, Göttingen, Germany.
  • Frahm J; Biomedizinische NMR Forschungs GmbH am Max-Planck Institut für biophysikalische Chemie, Göttingen, Germany.
Magn Reson Med ; 74(4): 964-70, 2015 Oct.
Article en En | MEDLINE | ID: mdl-25302683
PURPOSE: To develop and evaluate a practical phase unwrapping method for real-time phase-contrast flow MRI using temporal and spatial continuity. METHODS: Real-time phase-contrast MRI of through-plane flow was performed using highly undersampled radial FLASH with phase-sensitive reconstructions by regularized nonlinear inversion. Experiments involved flow in a phantom and the human aorta (10 healthy subjects) with and without phase wrapping for velocity encodings of 100 cm·s(-1) and 200 cm·s(-1) . Phase unwrapping was performed for each individual cardiac cycle and restricted to a region of interest automatically propagated to all time frames. The algorithm exploited temporal continuity in forward and backward direction for all pixels with a "continuous" representation of blood throughout the entire cardiac cycle (inner vessel lumen). Phase inconsistencies were corrected by a comparison with values from direct spatial neighbors. The latter approach was also applied to pixels exhibiting a discontinuous signal intensity time course due to movement-induced spatial displacements (peripheral vessel zone). RESULTS: Phantom and human flow MRI data were successfully unwrapped. When halving the velocity encoding, the velocity-to-noise ratio (VNR) increased by a factor of two. CONCLUSION: The proposed phase unwrapping method for real-time flow MRI allows for measurements with reduced velocity encoding and increased VNR.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Imagen por Resonancia Magnética Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2015 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Imagen por Resonancia Magnética Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2015 Tipo del documento: Article