Whole Slide Image Parameter Adjustment via ROI Segmentation
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Solution Overview
Problem
Adjusting parameters for image analysis in whole slide imaging (WSI) systems is time-consuming and increases processing load when applied to all tissue regions, necessitating a more efficient method for parameter adjustment.
Innovation Solution
An information processing program and device that acquires images, performs analysis using predetermined parameters, and determines whether to proceed based on characteristic information from the image and corresponding statistical distributions, recommending new parameters if necessary, and adjusting imaging conditions accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If parameter adjustment is performed using all tissue regions on the WSI image, then analysis accuracy is improved, but processing time increases
Solution Approach 1:
The patent divides the WSI image into multiple regions of interest (ROIs) and selects representative ROIs for parameter adjustment. Instead of processing the entire image, the system segments it into manageable portions and uses statistical information to identify representative regions that characterize the overall tissue structure, thereby reducing processing time while maintaining accuracy.
Solution Approach 2:
The system automatically selects representative ROIs and determines appropriate parameters without requiring manual intervention for each region. The automatic ROI selection and parameter determination process enables the system to self-optimize the analysis by using statistical characteristics of the tissue regions to identify representative samples for parameter adjustment.
2Productivity
If parameter adjustment is performed using a minute region of interest (ROI), then processing speed is improved, but processing load on the observer increases
Solution Approach 1:
The system provides feedback by displaying statistical information about the selected ROIs and their characteristic information to the observer. This feedback mechanism allows the observer to understand which regions were selected and why, reducing the cognitive load by providing transparent justification for the automatic selections and enabling informed verification or correction when necessary.
Solution Approach 2:
The system acts as an intermediary between the observer and the entire WSI image by automatically selecting and processing representative ROIs. This intermediary function handles the complex task of image analysis, leaving the observer with simplified verification or adjustment responsibilities rather than requiring direct manual analysis of the complete image.
3Measurement precision
If characteristic information is extracted from multiple processing regions, then parameter determination accuracy is improved, but device complexity increases
Solution Approach 1:
The patent employs a universal approach where the same statistical analysis framework is applied across multiple processing regions to extract characteristic information. The system uses consistent algorithms and criteria for ROI selection and parameter determination throughout different regions, maintaining accuracy while avoiding region-specific complex processing. The unified methodology simplifies the overall system architecture compared to region-specific tailored approaches.
Data Source
AI summary
There are provided an information processing program, an information processing device, an information processing method, and a microscope system capable of more efficiently performing parameter adjustment. The information processing program is an information processing program for causing a computer to execute an acquisition step of acquiring a first image obtained by imaging a specimen tissue, an analysis processing step of performing analysis processing on the first image using a predetermined parameter, and a determination step of determining whether to allow the analysis processing to be performed with the predetermined parameter on the basis of first characteristic information of a tissue form present in the first image and second characteristic information of a tissue form corresponding to the predetermined parameter.