Visualization of Cerebrospinal Fluid Dynamics by Respiratory Motion Using Phase Dispersion: Optimization of Spatial and Temporal Resolutions

  • Horie Tomohiko
    Department of Radiology, Tokai University Hospital
  • Konta Natsuo
    Department of Radiology, Tokai University Hospital Division of Health Sciences, Kanazawa University Graduate School of Medical Sciences
  • Sakakibara Yumetaro
    Department of Neurosurgery, Tokai University School of Medicine
  • Atsumi Hideki
    Department of Neurosurgery, Tokai University School of Medicine
  • Niwa Tetsu
    Department of Radiology, Tokai University School of Medicine
  • Matsumae Mitsunori
    Yokohama Shin・midori General Hospital

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Other Title
  • 位相分散を用いた呼吸性運動による脳脊髄液動態の可視化—空間分解能と時間分解能の最適化—
  • 位相分散を用いた呼吸性運動による脳脊髄液動態の可視化 : 空間分解能と時間分解能の最適化
  • イソウ ブンサン オ モチイタ コキュウセイ ウンドウ ニ ヨル ノウ セキズイエキ ドウタイ ノ カシカ : クウカン ブンカイノウ ト ジカン ブンカイノウ ノ サイテキカ

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Abstract

<p>Purpose: The purpose of this study was to investigate the optimal spatial resolution and temporal resolution of dynamic improved motion-sensitized driven-equilibrium steady-state free precession for visualization of respiratory-driven cerebrospinal fluid (CSF) dynamics. Methods: We investigated the differences in the visualization using the midsagittal cross-sections of nine healthy volunteers by three imaging conditions. (A: spatial resolution 0.49×0.49×5 mm, temporal resolution 1000 ms; B: 0.49×0.49×5 mm, 430 ms; and C: 0.78×0.78×5 mm, 200 ms). First, we calculated the CSF of the third and fourth ventricles and the signal-to-noise ratio (SNR) of the pons. Next, we calculated the signal intensity ratio (SIR) of the CSF flowing at 10 cm/s or more and the CSF flowing at 10 cm/s or less due to respiration. We also calculated the difference between the inspiration and expiration SIR. Furthermore, 1) the presence of flow in the third and fourth ventricles centered on the cerebral aqueduct and 2) the change in flow due to respiration was investigated by a three-point scale visual assessment by seven radiological technologists. Results: The SNR was the highest in A, the next highest in B, and the lowest in C in all cases. There were significant differences between A and B, and A and C in CSF of the third and fourth ventricles. However, there was no significant difference between B and C. The CSF signal intensity changed with respiration. The SIR of the third ventricle was higher on inspiration and lower on expiration. Conversely, the SIR of the fourth ventricle was lower on inspiration and higher on expiration. There was a significant difference between A and C and B and C in each SIR (p<0.05). The difference between inspiration and expiration SIR was the highest in B, the next highest in A, and the lowest in C in both the third and fourth ventricles. Significant differences were found between A and C, and between B and C (p<0.05). There was no significant difference in the presence of flow in the third and fourth ventricles centered on the cerebral aqueduct (p=0.264). On the other hand, there was a significant difference between the imaging conditions in the change in flow due to respiration, with B having a higher value than the others (p<0.001). Conclusion: The optimal spatial and temporal resolutions were 0.49×0.49×5 mm and 430 ms, respectively. The results also suggest that it is important to carefully set the imaging conditions for the spatial and temporal resolutions because of the use of phase dispersion in this method.</p>

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