Medical Image Data Compression for Remote Diagnosis
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Solution Overview
Problem
Current medical imaging technologies, such as multi-detector computed tomography (MDCT) devices, face challenges in efficiently transferring large volumes of image data due to the complexity and size of the data sets, which are time-consuming and costly to process and transmit, especially when expert interpretation is needed remotely.
Innovation Solution
A system and method that compresses and transcodes medical image data using 3D and differential 2D lossless compression techniques, selectively transmitting only the most relevant slices or areas of interest, and utilizing wireless or wired networks for efficient transfer, including transcoding from motion-JPEG to H.264, to facilitate remote evaluation and storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all device scan slices are transmitted to enable complete remote diagnosis, then diagnostic accuracy is improved, but transmission time and cost increase significantly
Solution Approach 1:
The system extracts and transmits only the most diagnostically relevant image slices (e.g., one slice from every ten scan slices) rather than all slices. This selective extraction maintains sufficient diagnostic accuracy while dramatically reducing data volume and transmission time.
Solution Approach 2:
The system transmits a partial set of image slices that provides sufficient diagnostic information without transmitting the complete dataset. This partial action approach achieves the necessary diagnostic quality while avoiding the excessive transmission time and costs associated with full data transfer.
2Measurement precision
If all device scan slices are transmitted to enable complete remote diagnosis, then diagnostic accuracy is improved, but transmission cost increases significantly
Solution Approach 1:
The system extracts and transmits only the most diagnostically relevant image slices rather than all slices. This selective extraction maintains sufficient diagnostic accuracy while dramatically reducing data volume and transmission cost.
Solution Approach 2:
The system transmits a partial set of image slices that provides sufficient diagnostic information without transmitting the complete dataset. This partial action approach achieves the necessary diagnostic quality while avoiding the excessive transmission costs associated with full data transfer.
3Productivity
If image data is compressed to reduce transmission time and cost, then transmission efficiency is improved, but image quality may deteriorate
Solution Approach 1:
The system extracts and transmits only the most diagnostically relevant image slices without requiring compression of the entire dataset. This approach maintains high image quality for the transmitted slices while improving transmission efficiency through selective data reduction.
4Productivity
If MDCT devices scan at higher speeds to capture beating heart images, then scanning efficiency is improved, but image clarity deteriorates
Solution Approach 1:
The system extracts and transmits only the clearest, most diagnostically relevant image slices from the scan set. Even when higher scanning speeds produce some motion blur, this selective extraction identifies and transmits the best available images for diagnosis.
Data Source
AI summary
A system and method is provided which allows for the transfer of an image data file such as a medical image data file. Device scan slices of an object are acquired per time point. A portion of the device scan slices of the object, e.g., live body organ, per time point which illustrate a change in the object from a previous time point is selected. At least one optical temporal image in spiral fashion per time interval is formed from the selected portion. The at least one optical temporal image is transmittable as an image data file to a location.