Whole Slide Image Registration for Digital Tissue Reconstruction
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Solution Overview
Problem
The manual process of mentally reconstructing large tissue samples from multiple slides in histopathology is time-consuming, prone to errors, and lacks a standardized digital approach.
Innovation Solution
An apparatus and method that utilize a processor and reconstruction model to register and align whole slide images based on structural continuations, generating an initial composite view through spatial transformations and displaying it via a graphical user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual mental reconstruction of tissue samples from multiple slides is used, then pathologists can analyze tissue structure, but the process is time-consuming and prone to errors
Solution Approach 1:
The patent replaces the manual mechanical process of mentally reconstructing tissue samples with an automated computational system. The reconstruction model uses image processing algorithms to automatically align and register multiple whole slide images, generating a composite view that substitutes for the pathologist's manual mental reconstruction process, thereby reducing time consumption while maintaining or improving accuracy
Solution Approach 2:
The system creates a digital copy of the tissue sample by processing multiple whole slide images and generating a virtual composite view. This digital representation allows pathologists to analyze the tissue structure without manually mentally reconstructing the samples, providing an accurate replica that can be viewed and analyzed efficiently
2Manufacturing precision
If multiple whole slide images are processed to create composite view, then complete tissue representation is achieved, but device complexity increases
Solution Approach 1:
The patent segments the complex task of reconstructing entire tissue samples into manageable steps: receiving multiple whole slide images, registering them based on structural continuations, generating a composite view, and displaying it. This segmentation allows the system to handle complex image processing through modular operations, reducing overall system complexity while maintaining precision
Solution Approach 2:
The reconstruction model acts as an intermediary between the raw whole slide images and the final composite view. It provides a standardized processing framework that simplifies the complexity of aligning multiple images by using feature-based registration and spatial transformations, making the overall system more manageable
3Ease of manufacture
If automated reconstruction model is used, then standardized digital approach is achieved, but initial implementation complexity increases
Solution Approach 1:
The reconstruction model is designed as a universal system that can process different tissue samples and image sets through a standardized pipeline. The model handles various imaging scenarios (different stains, magnifications, tissue types) using the same core algorithms for feature detection, structural continuation identification, and spatial transformation, thereby achieving standardization without requiring separate specialized systems for each case
Data Source
AI summary
An apparatus and method for generating a modified composite view as a function of a plurality of whole slide images and a reconstruction model. The apparatus includes at least a processor and a memory communicatively connected to the at least a processor configured to receive a plurality of whole slide images, register the plurality of whole slide images based on one or more features of at least a structure by identifying, at least a structural continuation in the first image and the second image, and adjusting the first image with respect to the second image, generate an initial composite view by positioning the plurality of whole slide images into the initial composite view based on the at least a structural continuation of the one or more features of the at least a structure, and display the initial composite view.