A precise and accurate acupoint location obtained on the face using consistency matrix pointwise fusion method

Area of Science:

• Acupuncture and Traditional Chinese Medicine
• Medical Imaging and Measurement
• Computational Biology and Bioinformatics

Background:

• Accurate acupoint location is crucial for effective acupuncture treatment.
• Existing methods for acupoint location can suffer from inter-expert variability and imprecision.
• Developing objective and reliable methods for acupoint identification is an ongoing challenge in acupuncture research.

Purpose of the Study:

• To develop and validate a precise and accurate method for locating acupuncture points.
• To establish a procedure for objectively measuring the correctness of acupoint location.
• To enhance the reliability of acupoint identification in clinical practice.

Main Methods:

• Utilized a virtual simulation of a facial orientation coordinate system for acupoint location.
• Applied a consistency information fusion algorithm to integrate acupoint location data from multiple acupuncture experts.
• Developed a pointwise variable precision fusion method to correct for individual expert system errors and enhance data consistency.

Main Results:

• The consistency information fusion algorithm successfully integrated acupoint location data from different experts.
• The developed method corrected for individual expert system errors, improving the quantification of acupoint location consistency.
• Pointwise variable precision fusion enhanced the accuracy and precision of acupoint location measurements, improving information utilization efficiency.

Conclusions:

• The consistency matrix pointwise fusion method enables the calculation of individual expert acupoint location information.
• This approach yields the most precise and accurate values for acupoint locations based on expert consensus.
• The study provides a validated procedure for objective and reliable acupoint location in acupuncture.