Quantification of blood flow patterns in the cerebral arterial circulation of individual (human) subjects
Quantification of blood flow patterns in the cerebral arterial circulation of individual (human) subjects
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DOI：
10.1002/cnm.3288
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发表时间：
2019-11
影响因子：
2.1
通讯作者：
C. Park;Grant Hartung;A. Alaraj;X. Du;F. Charbel;A. Linninger
中科院分区：
文献类型：
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作者：
C. Park;Grant Hartung;A. Alaraj;X. Du;F. Charbel;A. Linninger
量化整个脑循环的血流分布，以提高个体患者的诊断和改善脑血管疾病的治疗选择，这是一个日益增长的研究兴趣。我们提出了一种方法，根据生理和流体力学原理重建受试者特定的脑血流模式，并根据脑血管解剖和动脉血流速率的体内神经图像数据进行优化。我们提出了一个反问题来推断动脉网络可见部分的血流分布，该血流分布与受试者特定解剖结构和给定的一组体积流量测量结果最匹配。该优化技术还通过协调不完整的流量数据和消除与医学成像数据相关的不可避免的采集错误来减轻不确定性的影响。
There is a growing research interest in quantifying blood flow distribution for the entire cerebral circulation to sharpen diagnosis and improve treatment options for cerebrovascular disease of individual patients. We present a methodology to reconstruct subject‐specific cerebral blood flow patterns in accordance with physiological and fluid mechanical principles and optimally informed by in vivo neuroimage data of cerebrovascular anatomy and arterial blood flow rates. We propose an inverse problem to infer blood flow distribution across the visible portion of the arterial network that best matches subject‐specific anatomy and a given set of volumetric flow measurements. The optimization technique also mitigates the effect of uncertainties by reconciling incomplete flow data and by dissipating unavoidable acquisition errors associated with medical imaging data.