脑外层对连续波近红外光谱光学特性估计的影响:基于多层脑组织结构和蒙特卡罗模拟的分析。

IF 1.5 4区 医学 Q3 SURGERY Computer Assisted Surgery Pub Date : 2019-01-01 DOI:10.1080/24699322.2018.1560090
Yan Zhang, Xin Liu, Qisong Wang, Dan Liu, Chunling Yang, Jinwei Sun, P. Rolfe
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引用次数: 0

摘要

连续波近红外光谱(CW-NIRS)具有无创、简单、便携等优点,可用于脑活动测量。然而,由于脑外层的存在,CW-NIRS的性能受到了扭曲。灰质层光学参数的变化会被不恰当地转化为大脑的活动反应。本研究采用由头皮、颅骨、脑脊液、灰质和白质组成的五层结构模型,采用脂质、墨汁和琼脂的混合物制备人脑组织。为了模拟大脑活动引起的深层光学特性,将灰质的吸收系数相对于基线分别提高5%、10%、15%、20%和25%。设计近红外光谱测量系统,检测脑灰质吸收系数的变化,定量分析脑外层对吸收系数的影响。蒙特卡罗技术用于补偿脑外层引入的部分体积效应。体外实验结果表明,测得的吸收系数约为标准值的9%,受脑外层的影响,相对误差约为91%。通过蒙特卡罗模拟校正PVE,抑制了脑外层的影响,使整个数据集的平均相对误差提高到仅6%左右。因此,如果能够利用蒙特卡罗方法或其他技术对头部的解剖结构进行预测,可以进一步加强对大脑活动的测量和分析。
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Influence of extracerebral layers on estimates of optical properties with continuous wave near infrared spectroscopy: analysis based on multi-layered brain tissue architecture and Monte Carlo simulation.
Continuous wave near-infrared spectroscopy (CW-NIRS) can be used to measure cerebral activity because it is noninvasive, simple and portable. However, the performance of the CW-NIRS is distorted by the presence of extracerebral layer. Change of optical parameters in gray matter layer will then be inappropriately converted into the brain activity response. In the current study, a five-layer structure model constitute of scalp, skull, cerebrospinal fluid, gray matter and white matter is adopted and the mixture of the Intralipid, India ink and agar is applied to fabricate human brain tissue. To simulate optical properties in deep layer due to the brain activity, the absorption coefficients of gray matter are increased by 5%, 10%, 15%, 20%, and 25% relative to the baseline. The NIRS measurement system was designed to detect the changes in the absorption coefficients of the gray matter and quantitatively analyse the influence of the extracerebral layers. Monte Carlo technique is performed to compensate partial volume effect (PVE) introduced by the extracerebral layers. The results of the in-vitro experiments show that the measured absorption coefficients are about 9% of the standard value and the relative error is about 91% due to the extracerebral layers. The influence of the extracerebral layers is suppressed by correcting PVE with Monte Carlo simulations and the average relative error is improved to only about 6% for the whole data set. Therefore, the measurement and analysis of the brain activity could be further strengthened if the anatomic structure of the head could be predicted with Monte Carlo method or other technologies.
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来源期刊
Computer Assisted Surgery
Computer Assisted Surgery Medicine-Surgery
CiteScore
2.30
自引率
0.00%
发文量
13
审稿时长
10 weeks
期刊介绍: omputer Assisted Surgery aims to improve patient care by advancing the utilization of computers during treatment; to evaluate the benefits and risks associated with the integration of advanced digital technologies into surgical practice; to disseminate clinical and basic research relevant to stereotactic surgery, minimal access surgery, endoscopy, and surgical robotics; to encourage interdisciplinary collaboration between engineers and physicians in developing new concepts and applications; to educate clinicians about the principles and techniques of computer assisted surgery and therapeutics; and to serve the international scientific community as a medium for the transfer of new information relating to theory, research, and practice in biomedical imaging and the surgical specialties. The scope of Computer Assisted Surgery encompasses all fields within surgery, as well as biomedical imaging and instrumentation, and digital technology employed as an adjunct to imaging in diagnosis, therapeutics, and surgery. Topics featured include frameless as well as conventional stereotactic procedures, surgery guided by intraoperative ultrasound or magnetic resonance imaging, image guided focused irradiation, robotic surgery, and any therapeutic interventions performed with the use of digital imaging technology.
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