Automated Image Marker Tracking System
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Solution Overview
Problem
Current image tracking technologies face inefficiencies and inaccuracies in navigating and comparing multiple related images, particularly in medical imaging, where series of images with thousands of markers require manual, time-consuming processes to track changes over time.
Innovation Solution
An advanced image tracking system using computer processors to identify, analyze, and assign markers to objects in images, creating relational databases to facilitate efficient comparison and display of marked findings across multiple image series, leveraging object recognition techniques and cloud computing for data storage and access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual processes are used to track and compare markers in multiple image series, then tracking accuracy can be maintained through human review, but the time and effort required increases significantly
Solution Approach 1:
The system enables self-service automated tracking where the computer automatically identifies objects, assigns markers, and compares findings across multiple image series without requiring manual human intervention for each comparison task
Solution Approach 2:
The patent replaces the manual mechanical process of human review with an automated computer-based system that uses image processing algorithms to identify objects, assign markers, and track changes across images
2Productivity
If automated image tracking is implemented to reduce manual effort, then processing speed increases, but system complexity increases
Solution Approach 1:
The system performs multiple functions including object identification, marker assignment, data storage, and image manipulation through a single integrated automated platform, reducing the need for separate manual processes
Solution Approach 2:
The patent introduces a computer-based intermediary system that acts as a mediator between the multiple image series and the user, automatically handling the complex tasks of marker assignment and comparison while presenting simplified results
3Reliability
If markers are assigned to multiple objects across thousands of images, then tracking capability improves, but data management complexity increases
Solution Approach 1:
The system segments the complex data management task by organizing markers and image data into structured relationships, where each marker is associated with specific objects across specific images, allowing systematic management of large datasets
Solution Approach 2:
The patent adds a new dimension of organization by creating relational databases that link markers to objects and images across multiple dimensions (spatial, temporal, and categorical), enabling efficient retrieval and management of complex marker data
Data Source
AI summary
In an approach to tracking markers in one or more images, one or more computer processors identify objects that exist in more than one image from a plurality of images. The one or more computer processors analyze the identified objects for one or more physical characteristics. The one or more computer processors assign a marker to at least one object of the identified objects on at least one image of the more than one image, wherein the marker is annotated based upon the one or more physical characteristics of the object of the identified objects. The one or more computer processors store the more than one images, analysis data, and marker data associated with the identified objects and one or more markers. The one or more computer processors manipulate the one or more images based on a change in the objects across the more than one image.