Glielmi Christopher B, Schuchard Ronald A, Hu X P
Department of Biomedical Engineering, Emory University, Georgia Institute of Technology, Atlanta, GA 30322, USA.
Magn Reson Med. 2009 May;61(5):1193-200. doi: 10.1002/mrm.21979.
A model for quantifying cerebral blood volume (CBV) based on the vascular space occupancy (VASO) technique and varying the extent of blood nulling yielding task-related signal changes with various amounts of blood oxygenation level-dependent (BOLD) and VASO weightings was previously described. Challenges associated with VASO include limited slice coverage and the confounding inflow of fresh blood. In this work, an approach that extends the previous model to multiple slices and accounts for the inflow effect is described and applied to data from a multiecho sequence simultaneously acquiring VASO, cerebral blood flow (CBF), and BOLD images. This method led to CBV values (7.9 +/- 0.3 and 5.6 +/- 0.3 ml blood/100 ml brain during activation [CBV(ACT)] and rest [CBV(REST)], respectively) consistent with previous studies using similar visual stimuli. Furthermore, an increase in effective blood relaxation (0.65 +/- 0.01) compared to the published value (0.62) was detected, likely reflecting inflow of fresh blood. Finally, cerebral metabolic rate of oxygen (CMRO(2)) estimates using a multiple compartment model without assumption of CBV(REST) led to estimates (18.7 +/- 17.0%) that were within published ranges.
先前已描述了一种基于血管空间占据(VASO)技术量化脑血容量(CBV)的模型,该模型通过改变血液归零程度,在不同的血氧水平依赖(BOLD)和VASO权重下产生与任务相关的信号变化。与VASO相关的挑战包括有限的切片覆盖范围以及新鲜血液的混淆流入。在这项工作中,描述了一种将先前模型扩展到多个切片并考虑流入效应的方法,并将其应用于同时采集VASO、脑血流量(CBF)和BOLD图像的多回波序列数据。该方法得出的CBV值(激活期间[CBV(ACT)]和静息期间[CBV(REST)]分别为7.9±0.3和5.6±0.3 ml血液/100 ml脑)与先前使用类似视觉刺激的研究结果一致。此外,检测到有效血液弛豫增加(0.65±0.01),相比已发表的值(0.62)有所增加,这可能反映了新鲜血液的流入。最后,使用不假设CBV(REST)的多室模型估计脑氧代谢率(CMRO₂),得出的估计值(18.7±17.0%)在已发表的范围内。