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Partially Automated Method for Localizing Standardized Acupuncture Points on the Heads of Digital Human Models

机译:在数字人体模型的头部定位标准穴位的部分自动化方法

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摘要

Having modernized imaging tools for precise positioning of acupuncture points over the human body where the traditional therapeutic method is applied is essential. For that reason, we suggest a more systematic positioning method that uses X-ray computer tomographic images to precisely position acupoints. Digital Korean human data were obtained to construct three-dimensional head-skin and skull surface models of six individuals. Depending on the method used to pinpoint the positions of the acupoints, every acupoint was classified into one of three types: anatomical points, proportional points, and morphological points. A computational algorithm and procedure were developed for partial automation of the positioning. The anatomical points were selected by using the structural characteristics of the skin surface and skull. The proportional points were calculated from the positions of the anatomical points. The morphological points were also calculated by using some control points related to the connections between the source and the target models. All the acupoints on the heads of the six individual were displayed on three-dimensional computer graphical image models. This method may be helpful for developing more accurate experimental designs and for providing more quantitative volumetric methods for performing analyses in acupuncture-related research.
机译:拥有现代化的成像工具以在传统疗法所应用的人体上精确定位穴位至关重要。因此,我们建议使用X射线计算机断层扫描图像来精确定位穴位的更系统的定位方法。获得韩国数字化人类数据,以构建六个人的三维头部皮肤和头骨表面模型。根据精确定位穴位的方法,每个穴位被分为以下三种类型之一:解剖学点,比例点和形态学点。开发了用于定位的局部自动化的计算算法和过程。通过使用皮肤表面和颅骨的结构特征来选择解剖学点。根据解剖点的位置计算比例点。还通过使用一些与源模型和目标模型之间的连接有关的控制点来计算形态学点。六个人头部的所有穴位都显示在三维计算机图形图像模型上。此方法可能有助于开发更准确的实验设计,并提供更多定量的体积方法以进行针灸相关研究中的分析。

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