Quantitative MRI of cerebral arterial blood volume.

Q4 Medicine Open Neuroimaging Journal Pub Date : 2011-01-01 Epub Date: 2011-11-04 DOI:10.2174/1874440001105010136
Tae Kim, Seong-Gi Kim
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引用次数: 19

Abstract

Baseline cerebral arterial blood volume (CBV(a)) and its change are important for potential diagnosis of vascular dysfunctions, the determination of functional reactivity, and the interpretation of BOLD fMRI. To quantitative measure baseline CBV(a) non-invasively, we developed arterial spin labeling methods with magnetization transfer (MT) or bipolar gradients by utilizing differential MT or diffusion properties of tissue vs. arteries. Cortical CBV(a) of isoflurane-anesthetized rats was 0.6 - 1.4 ml/100 g. During 15-s forepaw stimulation, CBV(a) change was dominant, while venous blood volume change was minimal. This indicates that the venous CBV increase may be ignored for BOLD quantification for a stimulation duration of less than 15 s. By incorporating BOLD fMRI with varied MT effects in a cat visual cortical layer model, the highest ΔCBV(a) was observed at layer 4, while the highest BOLD signal was detected at the surface of the cortex, indicating that CBV(a) change is highly specific to neural activity. The CBV(a) MRI techniques provide quantified maps, thus, may be valuable tools for routine determination of vessel viability and function, as well as the identification of vascular dysfunction.

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脑动脉血容量定量MRI。
基线脑动脉血容量(CBV(a))及其变化对于血管功能障碍的潜在诊断、功能反应性的确定以及BOLD功能磁共振成像的解释都很重要。为了定量测量基线CBV(a)无创,我们开发了动脉自旋标记方法,利用磁化转移(MT)或双极梯度,利用组织与动脉的差异MT或扩散特性。异氟醚麻醉大鼠皮质CBV(a)为0.6 ~ 1.4 ml/100 g。在前爪刺激15 s时,CBV(a)变化占主导地位,而静脉血容量变化最小。这表明,如果刺激持续时间少于15秒,可以忽略静脉CBV的增加。通过在猫视觉皮质层模型中结合不同MT效应的BOLD fMRI,在第4层观察到最高的ΔCBV(a),而在皮层表面检测到最高的BOLD信号,表明CBV(a)变化与神经活动高度特异性。CBV(a) MRI技术提供了量化的地图,因此可能是常规确定血管活力和功能以及识别血管功能障碍的有价值的工具。
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来源期刊
Open Neuroimaging Journal
Open Neuroimaging Journal Medicine-Radiology, Nuclear Medicine and Imaging
CiteScore
0.70
自引率
0.00%
发文量
3
期刊介绍: The Open Neuroimaging Journal is an Open Access online journal, which publishes research articles, reviews/mini-reviews, and letters in all important areas of brain function, structure and organization including neuroimaging, neuroradiology, analysis methods, functional MRI acquisition and physics, brain mapping, macroscopic level of brain organization, computational modeling and analysis, structure-function and brain-behavior relationships, anatomy and physiology, psychiatric diseases and disorders of the nervous system, use of imaging to the understanding of brain pathology and brain abnormalities, cognition and aging, social neuroscience, sensorimotor processing, communication and learning.
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