Considerations in applying compressed sensing to in vivo phosphorus MR spectroscopic imaging of human brain at 3T.

The purpose of this study was to apply compressed sensing method for accelerated phosphorus MR spectroscopic imaging (31P-MRSI) of human brain in vivo at 3T. Fast 31P-MRSI data of five volunteers were acquired on a 3T clinical MR scanner using pulse-acquire sequence with a pseudorandom undersampling...

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Publicado en:Medical & Biological Engineering & Computing Vol. 55; no. 8; pp. 1303 - 1316
Autores principales: Hatay, Gokce, Yildirim, Muhammed, Ozturk-Isik, Esin, Hatay, Gokce Hale
Formato: research Journal Article
Publicado: Springer Nature Aug2017
Acceso en línea:Ver este registro en EBSCOhost
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      place: New York, New York
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        atl: Considerations in applying compressed sensing to in vivo phosphorus MR spectroscopic imaging of human brain at 3T.
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          Hatay, Gokce
          Yildirim, Muhammed
          Ozturk-Isik, Esin
          Hatay, Gokce Hale
        affil: Biomedical Engineering Institute , Bogazici University , Rasathane Cad, Kandilli Campus, Kandilli Mah. 34684 Istanbul Turkey
      sug:
        subj:
          Molecular Imaging Methods
          Image Processing, Computer Assisted Methods
          Brain Neoplasms Metabolism
          Magnetic Resonance Spectroscopy Methods
          Phosphorus Compounds Metabolism
          Phosphorus Pharmacokinetics
          Female
          Middle Age
          Male
          Signal Processing, Computer Assisted
          Human
          Sensitivity and Specificity
          Magnetic Resonance Imaging Methods
          Reproducibility of Results
          Validation Studies
          Comparative Studies
          Evaluation Research
          Multicenter Studies
          Middle Aged: 45-64 years
          Female
          Male
      ab: The purpose of this study was to apply compressed sensing method for accelerated phosphorus MR spectroscopic imaging (31P-MRSI) of human brain in vivo at 3T. Fast 31P-MRSI data of five volunteers were acquired on a 3T clinical MR scanner using pulse-acquire sequence with a pseudorandom undersampling pattern for a data reduction factor of 5.33 and were reconstructed using compressed sensing. Additionally, simulated 31P-MRSI human brain tumor datasets were created to analyze the effects of k-space sampling pattern, data matrix size, regularization parameters of the reconstruction, and noise on the compressed sensing accelerated 31P-MRSI data. The 31P metabolite peak ratios of the full and compressed sensing accelerated datasets of healthy volunteers in vivo were similar according to the results of a Bland-Altman test. The estimated effective spatial resolution increased with reduction factor and sampling more at the k-space center. A lower regularization parameter for both total variation and L1-norm penalties resulted in a better compressed sensing reconstruction of 31P-MRSI. Although the root-mean-square error increased with noise levels, the compressed sensing reconstruction was robust for up to a reduction factor of 10 for the simulated data that had sharply defined tumor borders. As a result, compressed sensing was successfully applied to accelerate 31P-MRSI of human brain in vivo at 3T.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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