Dataset Linking Module for Medical Image Navigation
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Solution Overview
Problem
Existing data handling systems are inefficient in handling diverse datasets, particularly in medical diagnostics, where they only allow for automatic segmentation scheme proliferation within a series of images without facilitating comprehensive comparison and analysis across different data types.
Innovation Solution
A data handling system with an access module for various dataset categories and a connection module that links datasets based on shared information parts, enabling navigation and linking of anatomical, functional, and physiological data sets by establishing relationships between corresponding features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic segmentation scheme proliferation is implemented within a series of images, then segmentation efficiency is improved, but the system cannot handle diverse dataset categories effectively
Solution Approach 1:
The connection module is designed to handle multiple types of datasets (anatomical images, functional images, physiological data) through a single unified interface. It establishes links between different dataset categories by identifying corresponding information parts, allowing the system to perform segmentation and comparison across diverse data types without requiring separate processing mechanisms for each category.
2Ease of operation
If the system only provides automatic segmentation within a single image series, then processing simplicity is maintained, but comprehensive comparison across different data types is limited
Solution Approach 1:
The connection module acts as an intermediary between different dataset categories. It identifies corresponding information parts across datasets (such as linking anatomical structures in anatomical images with functional data in functional images) and establishes relationships between them. This mediator enables comprehensive comparison across diverse data types while maintaining the simplicity of automatic processing through its automated linking and matching capabilities.
3Loss of time
If datasets of different categories are linked based on corresponding information parts, then navigation efficiency across datasets is improved, but system complexity increases
Solution Approach 1:
The connection module creates virtual links between corresponding information parts in different datasets without physically moving or duplicating the actual data. When a user selects a region of interest in one dataset, the system copies the spatial or functional characteristics to identify and link corresponding regions in other datasets. This copying approach enables rapid navigation across datasets while avoiding the complexity of physical data integration or replication.
Data Source
AI summary
A data handling system for handling multiple datasets is provided with an access module for accessing datasets of several categories and a connection module to link datasets in the respective categories. From a region of interest in one anatomical image a link is provided to the corresponding region of interest in other types of images and/or other types of data, such as a time intensity curve for that region of interest. Also the propagation of the region of interest in one image, such as an anatomical image, through a temporal succession of images may constitute links through an image series.