Capsule Endoscopy Image Transfer Scheduling
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Solution Overview
Problem
Current capsule endoscopic systems lack efficient management of image data transfer and processing schedules, leading to inefficiencies in medical image diagnosis, as they do not effectively coordinate the timing of data transfer and processing with the scheduled examination and observation times.
Innovation Solution
An inspection management apparatus and method that calculates and coordinates the image transfer start date and time, as well as the image processing start date and time, based on predictive transfer and processing times, scheduled examination and observation times, and observation purposes, ensuring timely and efficient data transfer and processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If image data is transferred and processed without scheduled coordination, then the system operation is simple, but the diagnostic efficiency and timing alignment with examinations deteriorates
Solution Approach 1:
The system performs preliminary actions by calculating and determining the image transfer start date/time and image processing start date/time in advance based on scheduled examination dates and observation dates. This advance planning ensures that image data is transferred and processed at optimal times aligned with medical workflows, improving diagnostic efficiency without requiring complex real-time coordination
Solution Approach 2:
The system dynamically adjusts transfer and processing schedules based on multiple factors including examination dates, observation dates, communication quality, and bandwidth conditions. The schedule generation unit can flexibly determine optimal timing by considering varying communication conditions and medical workflow requirements, maintaining efficiency while adapting to changing conditions
2Loss of time
If image data transfer and processing are coordinated with scheduled examinations and observations, then the timing alignment and diagnostic efficiency improve, but the system complexity increases
Solution Approach 1:
The system eliminates time waste by performing preliminary calculation of transfer and processing schedules based on predetermined examination and observation dates. This advance scheduling ensures that image data is ready for diagnosis exactly when needed, preventing delays and idle time in the diagnostic workflow
Solution Approach 2:
The system uses feedback mechanisms by monitoring communication quality and bandwidth conditions to adjust transfer schedules. The schedule generation unit receives feedback about actual communication conditions and modifies transfer timing accordingly, ensuring efficient data transfer while adapting to network variations without manual intervention
3Productivity
If multiple image processing tasks are performed simultaneously, then the processing throughput increases, but the coordination complexity and resource management difficulty increases
Solution Approach 1:
The system segments image processing into different time-based schedules, with the image processing unit performing different types of processing (e.g., compression, enhancement, analysis) at different stages. The schedule generation unit divides processing tasks according to examination dates, observation dates, and communication conditions, allowing parallel processing while maintaining clear temporal organization and reducing coordination overhead
Data Source
AI summary
An inspection management apparatus includes: a schedule generation unit that, based on a scheduled start date and time of examination, a scheduled start date and time of observation, a predictive transfer time of image data from a receiving device to an inspection management apparatus, and a predictive image processing time for each type of image processing, calculates an image transfer start date and time from the receiving device to the inspection management apparatus, and calculates an image processing start date and time of the transferred image data; and a control unit that starts acquisition of the image data transmitted from the receiving device when the image transfer start date and time comes, and causes, when the image processing start date and time comes, an image processing unit to perform specified image processing on the image data that the transfer has been started on the image transfer start date and time.