Automated 3D Mask Data Correction System
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current systems for visualizing and 3D printing 3D objects require manual processing, which is time-consuming and prone to errors, especially when correcting mask data for missing or extraneous portions, often requiring extensive user understanding and multiple system interactions.
Innovation Solution
A method and system for automatically correcting 3D mask data by determining the similarity between voxels in a region of interest and the mask data, allowing for the addition or removal of voxels based on similarity thresholds, using features like volume intensity and spatial filters, to enhance precision and reduce data volume.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual processing is used to correct mask data, then user control and customization are improved, but time consumption and error rates increase
Solution Approach 1:
The system performs automatic mask data correction using algorithms that independently analyze and correct missing or extraneous portions without requiring manual user intervention for each correction, thereby reducing time consumption while maintaining correction quality
Solution Approach 2:
The system provides automated feedback mechanisms where correction results are displayed and can be reviewed by users, allowing for quality control without requiring users to perform the actual correction work manually
2Manufacturing precision
If manual processing is used to correct mask data, then complex corrections can be handled, but error rates and data volume increase
Solution Approach 1:
The system replaces manual mechanical correction processes with automated computational algorithms that systematically analyze mask data and apply corrections based on predefined criteria, eliminating human error while maintaining precision
Solution Approach 2:
The system creates and uses reference models or templates of correct mask structures to compare against and guide corrections, ensuring consistency and accuracy without requiring users to manually understand complex correction principles
3Adaptability or versatility
If multiple systems are used for 3D object processing, then functional versatility is improved, but system complexity and user burden increase
Solution Approach 1:
The system combines multiple previously separate processing functions (mask creation, correction, 3D printing preparation, and visualization) into a single integrated platform, reducing system complexity while maintaining all necessary functional capabilities
Solution Approach 2:
The system is designed as a multi-functional platform that can handle various types of 3D objects and processing requirements within a single unified interface, eliminating the need for users to switch between multiple specialized systems
4Manufacturing precision
If extensive manual correction is performed, then mask precision can be improved, but processing speed decreases
Solution Approach 1:
The system performs preliminary automated corrections on mask data before final processing, pre-establishing accuracy that eliminates the need for time-consuming manual refinement while maintaining high precision standards
Data Source
AI summary
Methods and systems for visualizing, simulating, modifying and/or 3D printing objects are provided. The system is an end-to-end system that can take as input 3D objects and allow for various levels of user intervention to produce the desired results.