基于 ASM 算法的耳廓分割方法。
An auricular division method based on ASM algorithm.
出版信息
Technol Health Care. 2021;29(S1):487-495. doi: 10.3233/THC-218046.
BACKGROUND
Auricular acupuncture point (AAP) therapy is an important part of traditional Chinese medicine and is featured with a sophisticated location method based on the division of auricular subzones.
OBJECTIVE
This study aimed to realize the automatic computerized division on the relatively small area of the research object which has long been considered difficult.
METHOD
We propose a novel method based on the active shape model algorithm and the "Name and location of AAPs" issued by the World Federation of Acupuncture-Moxibustion Societies (WFAS STANDARD-002:2013).
RESULTS
The experimental results showed that the subzones of the auricle could be divided for the location of AAPs using the proposed method automatically and efficiently. The average Hausdorff distance and Euclid distance of landmarks between the machine and the manual positioning were 6.28 ± 0.50 and 6.67 ± 0.59, respectively.
CONCLUSIONS
The proposed method might provide benefits for further development of therapeutic and educational applications of AAPs.
背景
耳穴疗法是中医的重要组成部分，其具有基于耳区划分的精细定位方法。
目的
本研究旨在实现长期以来被认为难以实现的研究对象的相对较小区域的自动计算机划分。
方法
我们提出了一种基于主动形状模型算法和世界针灸学会联合会（WFAS 标准-002：2013）发布的“耳穴名称与位置”的新方法。
结果
实验结果表明，该方法可以自动、高效地对耳穴的分区进行定位。机器与手动定位之间标志点的平均 Hausdorff 距离和欧几里得距离分别为 6.28±0.50 和 6.67±0.59。
结论
该方法可能为耳穴治疗和教育应用的进一步发展提供有益的帮助。
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