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Monte Carlo Modeling of Light Propagation in the Human Head for Applications in Sinus Imaging

机译:Monte Carlo在鼻窦成像中的人体中的光传播型号

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Sinus blockages are a common reason for physician visits, affecting 1 out of 7 in the United States. Over 20 million cases of acute bacterial sinusitis become chronic and require medical treatment. Diagnosis in the primary care setting is challenging because symptom criteria (via detailed clinical history) plus objective imaging (CT or endoscopy) is recommended. Unfortunately, neither option is routinely available in primary care. Our previous work demonstrated that low-cost near infrared (NIR) transillumination instruments produced signals that correlated with the bulk findings of sinus opacity measured by CT. We have upgraded the technology, but questions remain such as finding the optimal arrangement of light sources, measuring the influence of specific anatomical structures, and determining detection limits. In order to begin addressing these questions, we have modeled NIR light propagation inside the adult human head using a mesh-based Monte Carlo algorithm (MMCLab) applied to a detailed anatomical head model constructed from CT images. In this application the sinus itself, which under healthy conditions is a void region (e.g., non-scattering), is the region of interest instead of an obstacle to other contrast mechanisms. We report preliminary simulations that characterize the changes in detected intensity due to clear (i.e., healthy) versus blocked sinuses. We also ran simulations for two of our clinical cases and compared results with the measurements. The simulations presented herein serve as a proof of concept that this approach could be used to understand contrast mechanisms and limitations of NIR imaging of the sinus cavities.
机译:鼻窦封闭是医生访问的常见原因,影响美国的7个。超过2000万例急性细菌鼻窦炎成为慢性,需要医疗。初级保健环境中的诊断具有挑战性,因为建议症状标准(通过详细的临床历史)加上客观成像(CT或内窥镜检查)。不幸的是,既没有在初级保健中经常提供任何选项。我们以前的工作表明,低成本近红外线(NIR)泛衰仪器产生的信号产生与CT测量的窦透明度的散装结果相关的信号。我们已经升级了该技术,但问题仍然存在,例如找到光源的最佳布置,测量特定解剖结构的影响,并确定检测限。为了开始解决这些问题,我们使用应用于由CT图像构成的详细解剖头模型的基于网格的蒙特卡罗算法(MMClab)在成人人头内进行了模拟的NIR光传播。在本申请中,窦本身,在健康条件下是空隙区域(例如,非散射),是感兴趣的区域而不是其他对比机制的障碍。我们报告了初步模拟,这些模拟表征由于清除(即,健康)而导致的检测强度的变化与阻塞鼻窦。我们还为我们两个临床病例进行了模拟,并使用测量进行了比较结果。这里呈现的模拟是概念证据,即这种方法可用于了解窦腔的纽腔成像的造影机制和局限性。

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