Image Navigation System for Medical Exams Using Anatomic Position Matching
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Solution Overview
Problem
The increasing volume of digitally accessible information and the shrinking screen size of computing devices, particularly in handheld devices, necessitate more efficient and intuitive methods for presenting and interacting with information, especially in medical imaging and electronic medical records, where current methods are suboptimal for large data sets on small screens.
Innovation Solution
A computing system and method that allows navigation between images or data items by displaying a first image and selecting another image from the same or different series/exam based on user input, automatically matching anatomic positions or attributes, using touch-sensitive devices and software to efficiently switch between images or data sets across exams or collections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual scrolling is used to navigate between images on small screens, then all images can be accessed, but the operation becomes time-consuming and inefficient
Solution Approach 1:
The system pre-organizes images into series with defined anatomic positions and attributes before user interaction. When a user selects an image, the system has already structured the data so that corresponding images from other series can be quickly retrieved without manual searching or scrolling through all images.
Solution Approach 2:
The patent introduces an automated selection mechanism that acts as an intermediary between the user's image selection and the display of corresponding images. This mediator automatically matches images based on anatomic position and series type, eliminating the need for manual scrolling and comparison by users.
2Loss of information
If all image series are displayed simultaneously on small screens, then complete information is available, but the interface becomes cluttered and difficult to navigate
Solution Approach 1:
The system segments the large set of medical images into organized series based on anatomic position, series type, and exam. This segmentation allows the interface to display only relevant images from specific series at a time, preventing information overload while maintaining access to complete data through structured navigation.
Solution Approach 2:
The interface applies local quality by displaying different sets of images in different contexts. When viewing a specific image, the system locally displays corresponding images from the same or related series at that particular anatomic position, rather than showing all images globally, thus optimizing the view for the current task.
3Productivity
If automated image selection based on anatomic position is implemented, then navigation efficiency improves, but system complexity increases
Solution Approach 1:
The system performs preliminary organization of images into series with defined anatomic positions and attributes during data ingestion. This pre-structuring creates lookup tables or indexed data structures that enable fast automated matching without requiring complex real-time image analysis, thus reducing runtime computational complexity.
Data Source
AI summary
Systems and methods for navigating between images of multiple exams using gestures performed on a touch sensitive input device.