Dynamic Local Registration for Medical Image Accuracy
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
High-order image registrations, particularly deformable registrations, are difficult to interpret and evaluate for accuracy, making it time-consuming for medical professionals to assess the quality and reliability of image correlations in medical imaging.
Innovation Solution
A system and method that utilize a registration engine with software instructions to display images and provide a user interface for dynamic evaluation, approximating complex registrations with best-fit local rigid registrations, allowing users to visually assess and improve registration quality through interactive tools like heat maps, checkered overlays, and subtraction graphics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If high-order deformable registrations are performed to achieve accurate point-to-point correlation between images, then manufacturing precision (registration accuracy) is improved, but device complexity and difficulty of interpretation increase
Solution Approach 1:
The patent divides the complex deformable registration into multiple simpler rigid registrations performed at different locations (first location and second location). Each rigid registration is independently evaluated, and their combination provides the overall deformable registration effect. This segmentation makes the complex process interpretable while maintaining accuracy.
Solution Approach 2:
The patent applies different registration approaches at different locations - rigid registrations at specific locations rather than a single global deformable registration. This local approach allows each region to be registered independently with simpler transformations, making the overall complex registration interpretable through local rigid transformations.
2Manufacturing precision
If high-order deformable registrations are performed to achieve accurate image correlation, then manufacturing precision (registration accuracy) is improved, but loss of time (evaluation time) increases
Solution Approach 1:
By segmenting the evaluation into separate assessments at first and second locations, the patent enables parallel or sequential evaluation of simpler rigid registrations rather than evaluating a single complex deformable registration. This reduces the time required for medical professionals to assess registration quality.
Solution Approach 2:
The patent introduces intermediate rigid registrations at specific locations as mediators between the source and target images. These intermediate steps provide interpretable checkpoints that reduce evaluation time compared to directly assessing a complex deformable registration.
3Manufacturing precision
If complex deformable registrations are used to achieve accurate image correlation, then manufacturing precision is improved, but ease of operation (interpretability) deteriorates
Solution Approach 1:
The patent segments the deformable registration into multiple rigid registrations at different locations, each of which is easier to interpret and evaluate. Medical professionals can independently assess the registration quality at each location using simple rigid transformation parameters rather than complex deformable fields.
Solution Approach 2:
The patent applies local rigid registrations at specific locations rather than a global deformable registration. This local approach with simple rigid transformations (translation, rotation) at each location significantly improves interpretability while the combination of local registrations achieves the overall deformable registration effect.
Data Source
AI summary
In accordance with the teachings described herein, systems and methods are provided for generating images for use in systems, e.g., imaging systems. The method includes receiving at least a first set of images, providing a first registration, providing a display, and displaying a first image on said display. Further, the method includes providing a user interface, providing a second registration, and displaying a second image in said user interface. Further, the systems include an image database, a display, and a registration engine. The registration engine includes software instructions stored in at least one memory device and executable by one or more processors.