Phase-contrast MR Studies of CSF Flow Rate in the Cerebral Aqueduct and Cervical Subarachnoid Space with Correlation-based Segmentation
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概要
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Purpose: Accurate measurement of cerebrospinal fluid (CSF) flow rate elucidates pathophysiological changes in the intracranial environment and is thus clinically useful. We investigated the feasibility of correlation coefficient (CC) analysis for extracting CSF lumens in the cerebral aqueduct and cervical subarachnoid space (SAS) to quantify CSF flow rate and net flow from data acquired by phase-contrast magnetic resonance imaging (PC-MRI). Methods: First, in phantom studies on pulsatile flow using a 1.5-tesla MR imaging system, we investigated the accuracy of CC analysis and used a statistical approach to determine an optimal threshold value for extracting the CSF lumens (CCmin). Second, we performed phantom studies on constant flow with various flow rates to estimate the accuracy of low flow measurement by PC-MRI. Finally, in 6 healthy male volunteers aged 24±2 years, we estimated the CSF lumen areas, net flows, and peak flow rates in the cerebral aqueduct and cervical SAS using CC analysis with the optimal CCmin value determined in phantom studies. Three observers analyzed results to compare reproducibility of CC analysis with that of manual segmentation. Results: The optimal CCmin value for CC analysis was 0.41 for a matrix measuring 256×256. The CSF lumen area extracted by CC analysis was 6.15±2.52 mm2, and the net flow in the cerebral aqueduct was 0.74±0.38 mL/min; in the cervical SAS, lumen area was 135.60±17.94 mm2 and net flow, 12.55±12.67 mL/min. The reproducibility of CSF lumen extraction was better by CC analysis than manual segmentation. Conclusion: CC analysis offers a quick and reproducible method for segmenting CSF lumens and calculating CSF flow rate.
- 2009-09-01
著者
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UEGUCHI Takashi
Department of Radiology, Osaka University Hospital
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MURASE Kenya
Department of Medical Engineering, Division of Allied Health Sciences, Osaka University Medical Scho
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TANAKA Hisashi
Department of Radiology, Osaka University, Graduate School of Medicine
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Tanaka Hisashi
Department Of Radiology Graduate School Of Medicine Osaka University
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Murase Kenya
Department Of Medical Physics And Engineering Division Of Medical Technology And Science Course Of H
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YOSHIDA Keita
Department of Medical Physics and Engineering, Division of Medical Technology and Science, Course of
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TAKAHASHI Hiroto
Department of Radiology, Graduate School of Medicine, Osaka University
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SAIJO Masaki
Department of Medical Physics and Engineering, Division of Medical Technology and Science, Course of
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FUJITA Norihiko
Department of Radiology, Graduate School of Medicine, Osaka University
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Murase Kenya
Department Of Medical Engineering Division Of Allied Health Sciences Osaka University Medical School
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Murase Kenya
大阪大学大学院医学系研究科保健学専攻
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Saijo Masaki
Department Of Medical Physics And Engineering Division Of Medical Technology And Science Course Of H
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Yoshida Keita
Department Of Medical Physics And Engineering Division Of Medical Technology And Science Course Of H
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Ueguchi Takashi
Department Of Medical Physics Osaka University Graduate School Of Medicine
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Ueguchi Takashi
Department Of Radiology Osaka University Hospital
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Murase K
Department Of Medical Physics And Engineering Division Of Medical Technology And Science Course Of H
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Fujita Norihiko
Department Of Radiology Graduate School Of Medicine Osaka University
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Murase Kenya
Department Of Allied Health Sciences Osaka University Graduate School Of Medicine
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Murase Kenya
Department Of Medical Physics And Engineering Division Of Medical Technology And Science Course Of H
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Tanaka Hisashi
Department Of Diagnostic Radiology University Of Rochester Medical Center
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YOSHIDA Keita
Department of Biological Sciences, Graduate School of Science and Engineering, Tokyo Metropolitan University
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FUJITA NORIHIKO
Department of Pharmacology, Kyoto Prefectural Medical College
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