3D Patient Body Mapping for Accurate Fascial Treatment Sites
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Solution Overview
Problem
Existing methods for locating treatment sites on a patient's body, such as for fascial manipulation and acupuncture, are inaccurate due to differences in gender, age, or body type, making it difficult for therapists to accurately apply treatments on real patients.
Innovation Solution
A method involving the creation of a 3D digital image of an individual patient with target therapeutic locations by merging a generic musculoskeletal model with a patient's 3D model, using image processing and augmented reality to visualize and superimpose treatment locations onto the patient's body.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If generic body images with treatment sites are used, then treatment location guidance is provided, but accuracy of locating treatment sites on individual patients deteriorates due to differences in gender, age, or body type
Solution Approach 1:
The system transitions from a universal generic body image to patient-specific customized body images that account for individual variations in gender, age, and body type. Each patient receives a tailored visual representation with treatment sites accurately positioned on their specific anatomy, ensuring both ease of operation and high localization accuracy.
Solution Approach 2:
The system modifies key parameters including patient demographics (gender, age, body type) to generate customized body images. By changing these parameters, the system adapts the treatment site localization to match the individual patient's physical characteristics, resolving the contradiction between providing guidance and maintaining accuracy.
2Measurement precision
If customized patient-specific body images are created, then treatment site localization accuracy is improved, but system complexity and processing requirements increase
Solution Approach 1:
The system pre-establishes a database of treatment sites and body type classifications before actual treatment sessions. By preparing reference data and algorithms in advance, the system reduces real-time processing complexity while maintaining high localization accuracy when generating customized body images for individual patients.
Data Source
AI summary
A three-dimensional (3D) digital image of an individual patient marked with target therapeutic locations on a skin surface of the patient is used for locating those treatment locations on a patient's skin for fascial manipulation and other treatments. The 3D image may be obtained by merging an unmarked 3D digital patient model image converted from a 2D optical image with a “generic” musculoskeletal digital model having optimized target therapeutic locations distributed over a skin surface thereof. The generic musculoskeletal digital model may be obtained from a library of such images.