Automatic Multi-Planar Reformatting Alignment for 3D Medical Images
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Solution Overview
Problem
Manual positioning of multi-planar reformatting (MPR) images from three-dimensional medical data is cumbersome, inconsistent, and time-consuming, leading to variations in comparison outcomes among practitioners when monitoring anatomical changes over time.
Innovation Solution
A system and method for automatically matching MPRs by computing a comparison score between digitized volumes, adjusting the position and orientation of subsequent MPRs to achieve a predetermined correspondence, and identifying matching images, reducing the need for manual alignment and improving efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual positioning of MPRs is performed, then anatomical comparison can be conducted, but the process is lengthy and cumbersome
Solution Approach 1:
The patent replaces the manual mechanical positioning process with an automated computer-based system that uses image processing algorithms to calculate and apply positioning transformations. The system automatically computes comparison scores between MPRs and performs positioning adjustments without manual intervention, eliminating the time-consuming manual alignment process while maintaining positioning accuracy.
Solution Approach 2:
The system creates a digital representation (copy) of the reference MPR and uses image processing to compare and match it with MPRs from subsequent scans. By working with digital copies and using automated matching algorithms, the system achieves rapid positioning without the time constraints of manual methods.
2Measurement precision
If manual positioning is used, then MPR alignment can be achieved, but consistency and repeatability are poor
Solution Approach 1:
The system implements a feedback mechanism by computing a comparison score that quantifies the correspondence between reference MPR and subsequent MPRs. The positioning process uses this score to iteratively adjust and optimize alignment, ensuring consistent and repeatable results. The automated feedback loop eliminates variability between different practitioners and ensures reliable positioning across multiple comparisons.
Solution Approach 2:
By replacing manual positioning with an automated computer-based system, the patent eliminates the inconsistency inherent in human judgment. The system uses objective image processing algorithms and comparison scores to determine positioning, ensuring that the same anatomical structures are consistently aligned across different scans and practitioners.
3Measurement precision
If manual positioning is performed, then MPR comparison can be conducted, but it requires talent and knowledge of anatomies
Solution Approach 1:
The system performs self-service by automatically conducting the positioning process without requiring user expertise in anatomy. The computer-based algorithm independently analyzes the MPR images, computes comparison scores, and performs positioning adjustments based on image data alone, eliminating the need for practitioners to have specialized anatomical knowledge for the positioning task.
Solution Approach 2:
The patent replaces the need for human anatomical expertise with an automated image processing system. The computer-based algorithm uses computational methods to identify and align anatomical structures, substituting manual anatomical knowledge with automated pattern recognition and image analysis capabilities.
4Productivity
If automated matching is implemented, then positioning speed increases, but system complexity increases
Solution Approach 1:
The patent implements automated matching using computer-based image processing algorithms that rapidly compute comparison scores and perform positioning. The system uses software automation to handle the complex calculations and image analysis, achieving high positioning speed without requiring complex hardware modifications. The complexity is managed through software implementation rather than mechanical or hardware complexity.
Data Source
AI summary
A computer-implemented method is disclosed for comparing three dimensional (3D) digital medical images. The method uses a reference MPR to position subsequent MPRs in one or more other 3D digital medical images so their content matches the reference MPR. The matched MPRs may then be used by a medical professional to diagnose a patient condition. The ability to quickly and automatically position matching MPRs for multiple 3D images eases the medical staff workload and shortens diagnostics time. Matching MPRs provides an effective way to view the 3D volumes for anatomical changes over time and to monitor medical conditions such as stenosis and tumors.


