Auto-deletion of Archived Images in Medical Imaging Systems

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Solution Overview

Problem

Manual deletion of image data in medical imaging systems is time-consuming and prone to errors, as users must manually sift through large repositories to identify and remove archived images, leading to potential loss of important data or unused storage space.

Innovation Solution

An automated system that uses a processor to traverse patient examinations in the repository, determining which image data to delete based on criteria such as archiving status, acknowledgment from the archiving system, and examination date, with a recycle bin for temporary storage before permanent deletion.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual deletion of archived images is performed by users, then storage space can be freed in the repository, but the process is time-consuming and prone to human error

Engineering Contradiction:
Improveaccuracy of deletionVSAvoidtime for manual deletion
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system performs automatic deletion of archived images without requiring user intervention. The processor autonomously identifies archived images in the repository and deletes them based on archiving status, thereby eliminating manual labor and associated time losses while ensuring consistent, error-free execution of the deletion task

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system uses feedback from the archiving system to determine which images should be deleted. By monitoring archiving status and acknowledgments, the processor automatically identifies images that have been successfully archived and are safe to delete, ensuring accurate deletion decisions without user involvement

Inventive Principle:
Principle #23Feedback

2Quantity of substance

If users manually delete archived images to free storage space, then repository capacity is increased, but the manual process is complex and error-prone

Engineering Contradiction:
Improveavailable storage spaceVSAvoidcomplexity of deletion process
Core Design Contradiction:
Quantity of substanceVSDevice complexity

Solution Approach 1:

The system autonomously manages storage space by automatically deleting archived images. The processor continuously monitors the repository, identifies archived images based on their status, and deletes them without user intervention, thereby simplifying the storage management process while effectively freeing up repository capacity

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system performs preliminary verification by checking archiving status and acknowledgments before deletion. This preliminary action ensures that only safely archived images are deleted, preventing errors while automatically managing storage space without requiring complex user procedures

Inventive Principle:
Principle #10Preliminary action

3Reliability

If archived images remain in the repository after archiving, then data is preserved for backup, but the repository becomes full and search efficiency decreases

Engineering Contradiction:
Improvedata preservationVSAvoidsearch efficiency
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The system extracts archived images from the repository after successful archiving is confirmed. By removing these images from the active repository while maintaining their availability in the archiving system, the process preserves data reliability for backup purposes while eliminating clutter that would hinder search efficiency

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The archiving system acts as an intermediary, serving as a backup repository for archived images. This intermediary role allows the main repository to maintain data preservation through the archiving system while removing archived images to improve search efficiency and available storage capacity

Inventive Principle:
Principle #24Intermediary (Mediator)

4Productivity

If automatic deletion is implemented, then deletion accuracy and storage optimization are improved, but system complexity increases

Engineering Contradiction:
Improvestorage management efficiencyVSAvoidsystem automation complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The processor in the imaging system is given multiple functions: it performs both imaging operations and automatic deletion management. By making the processor multi-functional, the system achieves automatic deletion and improved storage management efficiency without adding separate dedicated hardware, thereby limiting the increase in overall system complexity

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS8224129B2Auto-deletion of image related data in an imaging system
Publication Date: 2012.07.17 SIEMENS HEALTHINEERS AG
  • US8224129B2 patent drawing
  • US8224129B2 patent drawing

AI summary

A system for auto-deletion of image related data in an imaging system, includes an imaging system. The imaging system comprises a repository for storing image representative data, and is capable of archiving image representative data in the repository, and deleting image representative data from the repository. The system also includes an archiving system, coupled to the imaging system, for receiving image representative data from the imaging system and archiving the received data. The imaging system automatically deletes image representative data which has been archived from the repository.