Digital Pathology Interface Automation for Review Efficiency
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Solution Overview
Problem
The manual process of examining digital pathology images is inefficient due to the inability to view images in a preferred orientation and modify their appearance or behavior, limiting the number of cases that can be reviewed in a day.
Innovation Solution
A system and method that provide a customized graphical user interface for digital pathology images, processing data based on case information and user preferences to optimize the interaction and workflow of pathologists, including features like automatic orientation, magnification, and tool selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If pathologists manually rotate and pan digital pathology images using mouse operations, then they can view images at high magnification, but the process is time-consuming and reduces productivity
Solution Approach 1:
The system automatically performs image rotation and positioning before the pathologist views the image. The computer identifies tissue regions of interest and pre-positions the image at the optimal magnification and orientation, eliminating the need for manual mouse operations to rotate and pan through the image.
Solution Approach 2:
The system provides self-service by automatically detecting and presenting relevant tissue regions without requiring manual intervention. The computer autonomously navigates through the digital pathology image, identifies candidate cells, and presents them in the preferred orientation and magnification, allowing the pathologist to simply review the pre-positioned images.
2Reliability
If pathologists review whole-slide images manually, then they can examine biological samples in detail, but they cannot view images in a preferred orientation or modify appearance, limiting efficiency
Solution Approach 1:
The system dynamically adjusts image orientation, magnification, and presentation based on the identified tissue region and pathologist preferences. The image display is not static but adapts automatically to show the most relevant information in the most useful format, allowing flexible viewing without manual manipulation.
Solution Approach 2:
The system automatically changes image parameters such as orientation angle, magnification level, and field of view based on the detected tissue region. These parameter adjustments are made programmatically to optimize the display for diagnostic review, providing viewing flexibility without requiring manual intervention from the pathologist.
3Measurement precision
If pathologists manually navigate large digital pathology images, then they can locate cells of interest, but the process is cumbersome and time-consuming
Solution Approach 1:
The system replaces the mechanical manual navigation process with an automated computer-based system. Instead of using mouse operations to manually pan and zoom through large digital pathology images, the computer programmatically navigates the image, identifies tissue regions, and presents candidate cells for review, dramatically reducing the time required while maintaining accurate cell location.
Data Source
AI summary
A system and method of increasing digital pathology productivity is provided. The system accepts case information from a plurality of sources and pre-processes that information in order to present the slides in an order and orientation dictated by preference and/or reviewing standard. Upon application of the system and method, the appearance and behavior of the user interface is optimized for the user.