3D Mesh Quality Metric Evaluation for Medical Scans

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Solution Overview

Problem

The quality of three-dimensional meshes generated from 3D scans is critical, especially in medical fields, where even slight degradations can render meshes unusable. Existing technologies lack effective methods for determining and standardizing the quality of these meshes.

Innovation Solution

The system and methods for determining a quality metric of a 3D mesh involve evaluating geometric properties, completeness, and anomalies such as holes. This includes using metrics like skewness, maximum angle, volume versus circumradius, and visual appearance assessment to generate a comprehensive quality score.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional three-dimensional imaging methods are used, then productivity and ease of operation are maintained, but measurement precision and manufacturing precision deteriorate

Engineering Contradiction:

Improvemesh quality accuracyVSAvoidscan processing efficiency

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

The system performs preliminary quality assessment during the scanning process itself, evaluating mesh quality metrics as data is being captured. This allows early detection of quality issues before complete processing, enabling real-time feedback to operators to adjust scanning parameters or repeat scans, thereby ensuring high precision without sacrificing overall productivity.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent replaces manual visual inspection and subjective quality assessment with automated computational algorithms that objectively evaluate mesh quality. The system uses computer-based metrics to assess geometric accuracy, surface completeness, and topological correctness, substituting human judgment with precise mathematical evaluation to achieve consistent high-precision measurements.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If comprehensive quality evaluation metrics are implemented, then reliability improves, but device complexity increases

Engineering Contradiction:

Improvemesh quality assuranceVSAvoidquality assessment system complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The quality assessment system is divided into multiple independent evaluation modules, each responsible for specific aspects such as geometric accuracy, surface completeness, topological validation, and feature detection. This segmentation allows the complex assessment to be performed through coordinated simple operations, improving reliability through comprehensive coverage while managing system complexity through modular design.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system performs self-validation by automatically detecting and reporting quality issues without requiring external intervention. The mesh quality assessment algorithms independently evaluate the scanned data against predefined criteria, generating quality reports and identifying defects autonomously, which enhances reliability while avoiding the need for additional complex external verification systems.

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS20250054239A1System and methods for determining a quality metric of three-dimensional image data

Publication Date: 2025.02.13 XRPRO LLC

AI summary

A system for determining a quality metric of a three-dimension mesh generated from a scan of an object. In some cases, the system may utilize a representative object to determine the one or more quality metrics. The quality metric may indicate a usability of the three-dimensional mesh for an operation, such as generation of a prosthetic, surgery, or the like.