論文

2016年

Hemodynamic Independent Analysis of ΔADC in Brain Using Diffusion and Perfusion MRI

医用画像情報学会雑誌
  • KITANAKA Akihiro
  • ,
  • MIYATI Tosiaki
  • ,
  • OHNO Naoki
  • ,
  • KAN Hirohito
  • ,
  • MASE Mitsuhito
  • ,
  • KOBAYASHI Satoshi
  • ,
  • GABATA Toshifumi

33
1
開始ページ
vii-xi
終了ページ
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.11318/mii.33.vii

The apparent diffusion coefficient (ADC)obtained by diffusion MRI in the cerebral white matter changes significantly during the cardiac cycle even when minimizing the bulk motion effect of the brain parenchyma. However, these changes(ΔADC)depend on the hemodynamic state, including cerebral blood flow(CBF). Here we evaluated regional hemodynamic‐independent biomechanical information on the brain and clarified the relationship between ΔADC and regional CBF(rCBF)by using diffusion and perfusion MRI. Using 3.0‐T MRI, ΔADC images were obtained using the maximum‐minus‐minimum ADC values of all cardiac phase images on a pixel‐by‐pixel basis. Moreover, the pseudo‐continuous arterial spin labeling method was used to obtain the CBF map on the same slice. We obtained a hemodynamic‐independent ΔADC map defined as ΔADC divided by rCBF, and assessed the hemodynamic‐independent ΔADC in the cerebral white matter in healthy volunteers(N=9). There was a good correlation between ΔADC and rCBF(R2=0.65, P <0.01), showing that ΔADC depends on rCBF, and therefore ΔADC should be normalized by rCBF. We revealed that ΔADC depends on CBF, and this analysis enabled the generation of hemodynamic‐independent biomechanical information on the degree of water molecule fluctuation in the brain.

リンク情報
DOI
https://doi.org/10.11318/mii.33.vii
URL
https://ci.nii.ac.jp/naid/130005139439

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