Automated Medical Imaging Protocol Selection and Display
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Solution Overview
Problem
The increasing complexity and volume of data from medical imaging procedures, particularly in X-ray imaging, hinder efficient analysis and decision-making, especially in time-critical situations, due to the need for manual processing and the high investment in equipment and trained personnel.
Innovation Solution
A system and process that includes selecting protocols for multiple coordinated views of anatomical regions, opting for various viewing modalities, and displaying images accordingly, facilitated by a graphical user interface and computer-readable medium, to automate image characterization and streamline data processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual processing of imaging data is used, then diagnostic accuracy can be maintained through expert review, but time consumption increases significantly
Solution Approach 1:
The system enables automated image characterization where the imaging system itself performs preliminary analysis and generates coordinated views without requiring manual intervention. The automated protocol selection and image processing capabilities allow the system to serve its own data processing needs, reducing dependency on manual expert review while maintaining diagnostic quality through structured automated analysis pathways.
2Measurement precision
If sophisticated image processing and multiple viewing modalities are implemented, then diagnostic capability is enhanced, but system complexity increases
Solution Approach 1:
The system divides complex diagnostic workflows into discrete, selectable protocols that can be independently configured and executed. Each protocol represents a segmented functional unit that handles specific diagnostic tasks, allowing the complex system to be managed through modular, organized components rather than monolithic complexity.
Solution Approach 2:
The system performs preliminary image processing and generates multiple coordinated views automatically before clinical review. By pre-processing images according to selected protocols and preparing various viewing modalities in advance, the system reduces the complexity of real-time decision-making and provides structured data ready for diagnostic interpretation.
3Loss of information
If comprehensive imaging protocols with multiple coordinated views are used, then complete anatomical characterization is achieved, but data volume and processing requirements increase
Solution Approach 1:
The system employs a unified protocol framework that can generate multiple coordinated views and imaging modalities from a single data set. This multi-functional approach allows comprehensive anatomical characterization to be achieved through standardized protocols that can be applied across different diagnostic scenarios, reducing redundant data generation while maintaining completeness.
Data Source
AI summary
Systems, processes and apparatus are described through which signals are modified within a system. A process for image conditioning in a nondestructive imaging system includes acts of: (i) selecting a protocol from a group of protocols, each protocol of the group being structured to provide multiple coordinated views of a particularized anatomical region and to facilitate automated characterization of an aspect of the anatomical region; (ii) opting for at least one of a plurality of viewing modalities for review of images associated with the selected protocol; and (iii) displaying the images in conformance with the at least one viewing modality.