Automated 3D Tissue Image Montage with Spatial Registration
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Solution Overview
Problem
Current three-dimensional imaging systems, such as ultrasound and tomography, produce sophisticated data that is underutilized due to the laborious and error-prone process of creating high-quality presentations, leading to missed diagnostic opportunities as physicians struggle to accurately convey spatial relationships between images.
Innovation Solution
A system and method that automatically generates a montage of images with indicators of spatial registration, allowing users to select and visualize three-dimensional data sets, providing precise and accurate representations of tissue images that can be exported for presentations or publications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual methods are used to create presentations from three-dimensional imaging data, then users can control the presentation content, but the process becomes laborious and time-consuming
Solution Approach 1:
The system automatically generates presentations by processing three-dimensional imaging data without requiring manual intervention for each step. The automated presentation generator selects images, determines spatial relationships, and creates the final presentation output, allowing the system to serve itself rather than requiring extensive manual operation.
Solution Approach 2:
The system performs preliminary processing of the three-dimensional imaging data to pre-determine spatial relationships and select appropriate images before final presentation generation. This preliminary action includes analyzing the data set, identifying orthogonal views, and establishing geometric transformations, which are completed automatically in advance of the final output.
2Reliability
If manual methods are used to indicate spatial relationships between images, then users can annotate presentations, but the process is error-prone and imprecise
Solution Approach 1:
The system replaces manual mechanical annotation methods with automated computational algorithms. Instead of manually drawing lines or placing labels to indicate spatial relationships, the system uses image processing and geometric transformation algorithms to automatically determine and represent the spatial relationships between orthogonal views, eliminating human error in the process.
Solution Approach 2:
The system incorporates feedback mechanisms to verify and correct spatial relationship determinations. By analyzing the three-dimensional data set and comparing geometric transformations against the original imaging data, the system can validate its automatic annotations and adjust any discrepancies, ensuring high accuracy in representing spatial relationships.
3Quantity of substance
If multiple images are exported and imported into documents, then comprehensive three-dimensional information can be presented, but the process becomes complex and time-consuming
Solution Approach 1:
The system merges multiple functions into a single automated presentation generation process. Instead of separately exporting images, determining spatial relationships, annotating connections, and assembling the final presentation, the system combines all these operations into one integrated workflow that processes the three-dimensional data set and produces the complete presentation output automatically.
Solution Approach 2:
The automated presentation generator serves multiple functions simultaneously: it processes the three-dimensional imaging data, selects orthogonal views, determines spatial relationships through geometric transformations, generates annotations, and creates the final presentation format. This multi-functional approach eliminates the need for multiple separate tools and manual steps.
Data Source
AI summary
The invention relates to systems and methods for three dimensional imaging of tissue. The invention provides systems and methods to provide a representation of tissue from three-dimensional data in the form of a montage of images having an indication of a spatial registration among the images.