MR elastography用パルスシーケンスの最適化による弾性波画像上の高調波歪み抑制  [in Japanese] Reduction of Harmonic Distortion on Shear Wave Images by Pulse Sequence Optimization for MR Elastography  [in Japanese]

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Author(s)

    • 荒井 謙 ARAI Ken
    • 千葉大学大学院工学研究科 Graduate School of Engineering, Chiba University
    • 菅 幹生 SUGA Mikio
    • 千葉大学大学院工学研究科|放射線医学総合研究所 分子イメージング研究センター Graduate School of Engineering, Chiba University|Molecular Imaging Center, National Institute of Radiological Sciences
    • 小畠 隆行 OBATA Takayuki
    • 放射線医学総合研究所 分子イメージング研究センター Molecular Imaging Center, National Institute of Radiological Sciences

Abstract

Magnetic Resonance Elastography (MRE) is a technique for quantitative and noninvasive assessment of tissue elasticity. MRE is often described as image-based palpation that can be used to characterize disease because the mechanical properties of tissues are often dramatically affected by the presence of disease processes. MRE pulse sequences obtain shear wave images by synchronizing motion sensitized gradients (MSG) with an external vibrator. A quantitative shear modulus map is calculated from the shear wave images. However, the magnitude property of the external vibrator and nonlinearity of the imaged object often induce unwanted higher harmonics that distort the shear wave images and impair the estimation of the elastic modulus. In this study, we optimize the MSGs to minimize the contribution of higher harmonics to the shear wave images and therefore improve the accuracy of shear modulus estimation. Simulation and phantom studies were performed to confirm the performance of the proposed MRE pulse sequence. The results show that the optimized MSG is able to acquire single frequency shear wave images even when large amplitude harmonic waves are present in the imaged object.

Journal

  • Transactions of Japanese Society for Medical and Biological Engineering

    Transactions of Japanese Society for Medical and Biological Engineering 49(1), 200-206, 2011

    Japanese Society for Medical and Biological Engineering

Cited by:  1

Codes

  • NII Article ID (NAID)
    130004947423
  • NII NACSIS-CAT ID (NCID)
    AA11633569
  • Text Lang
    JPN
  • Article Type
    Journal Article
  • ISSN
    1347-443X
  • NDL Article ID
    11111323
  • NDL Source Classification
    ZS18(科学技術--医学--医用機械・診断学・検査技術)
  • NDL Call No.
    Z19-108
  • Data Source
    CJPref  NDL  J-STAGE 
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