Forskning
Udskriv Udskriv
Switch language
Region Hovedstaden - en del af Københavns Universitetshospital
Udgivet

Coil profile estimation strategies for parallel imaging with hyperpolarized 13 C MRI

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

DOI

  1. Gamma-aminobutyric acid edited echo-planar spectroscopic imaging (EPSI) with MEGA-sLASER at 7T

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  2. Comparison of prospective head motion correction with NMR field probes and an optical tracking system

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  3. Improved calculation of the equilibrium magnetization of arterial blood in arterial spin labeling

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  4. Effects of imaging gradients in sequences with varying longitudinal storage time-Case of diffusion exchange imaging

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  5. Sensitivity analysis of magnetic field measurements for magnetic resonance electrical impedance tomography (MREIT)

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  1. Inductive measurement and encoding of k-space trajectories in MR raw data

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  2. The stray magnetic fields in Magnetic Resonance Current Density Imaging (MRCDI)

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  3. MR-skanning til diagnostik af nonalkoholisk fedtleversygdom

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  4. Gamma-aminobutyric acid edited echo-planar spectroscopic imaging (EPSI) with MEGA-sLASER at 7T

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  • Rie B Hansen
  • Juan Diego Sánchez-Heredia
  • Nikolaj Bøgh
  • Esben Søvsø Szocska Hansen
  • Christoffer Laustsen
  • Lars G Hanson
  • Jan H Ardenkjaer-Larsen
Vis graf over relationer

PURPOSE: To investigate auto- and pre-calibration coil profile estimation for parallel imaging reconstruction of hyperpolarized 13 C MRI volumetric data.

METHODS: Parallel imaging reconstruction was studied with 3 different approaches for coil profile estimation: auto-calibration, phantom calibration, and theoretic calibration. Acquisition was performed with a 3D stack-of-spirals sequence with spectral-spatial excitation and Cartesian undersampling. Parallel imaging reconstructions were done with conjugate gradient SENSE and 3D gridding with inhomogeneity correction. The approaches were compared in simulations with different SNR, through phantom experiments, and in an in vivo pig study focused on the kidneys. All imaging was done with a rigid home-built 12-channel 13 C receive coil at 3T.

RESULTS: The phantom calibrated and theoretic approaches resulted in the best structural similarities in simulations and demonstrated higher image quality in the phantom experiments compared to the auto-calibrated approach. In vivo mapping of pyruvate uptake and lactate conversion improved for accelerated acquisitions because of a better temporal resolution. From a practical and image quality point of view, use of theoretic coil profiles led to improved results compared to the other approaches.

CONCLUSION: The success of the theoretic coil profile estimation demonstrates a negligible effect of load on sensitivity profiles at the carbon frequency at 3T. Through theoretic or phantom calibrated parallel imaging, accelerated 3D volumes could be reconstructed with sufficient sensitivity, temporal, and spatial resolution to map the metabolism of kidneys exemplifying abdominal organs. This approach overcomes a critical step in the clinical translation of parallel imaging in hyperpolarized 13 C MR.

OriginalsprogEngelsk
TidsskriftMagnetic Resonance in Medicine
Vol/bind82
Udgave nummer6
Sider (fra-til)2104-2117
Antal sider14
ISSN0740-3194
DOI
StatusUdgivet - dec. 2019

Bibliografisk note

© 2019 International Society for Magnetic Resonance in Medicine.

ID: 57567435