Medical Image Compression Using Viewing Parameters
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Solution Overview
Problem
The increasing size of medical image data sets from advanced imaging modalities leads to storage space issues, with reducing resolution as a common solution, which compromises image quality and loses clinically relevant information, making it difficult for accurate patient evaluation and diagnosis.
Innovation Solution
A method and system for compressing medical image data for long-term storage without significantly impacting image quality, using defined viewing parameters to discard non-relevant data, allowing for both high-quality and lower-quality versions of patient data sets to be stored, enabling efficient storage and retrieval while maintaining diagnostic image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If resolution is lowered to decrease storage space requirements, then storage space is reduced, but image quality deteriorates and clinically relevant information is lost
Solution Approach 1:
The patent segments the medical image data into different quality versions: a first version with full resolution for short-term storage and a second version with reduced resolution for long-term storage. This segmentation allows the system to provide both high-quality images for immediate diagnostic needs and space-efficient images for archival purposes, resolving the contradiction between storage space and image quality.
Solution Approach 2:
The patent applies parameter changes by modifying the resolution parameter of the medical image data to create different versions. The first version maintains original resolution parameters while the second version uses reduced resolution parameters, enabling the system to balance storage requirements with quality needs for different time periods and use cases.
2Manufacturing precision
If data set size increases to maintain full resolution, then image quality is preserved, but storage space requirements increase
Solution Approach 1:
The patent implements a dynamic storage strategy where the system automatically selects between storing full-resolution data for short-term periods and reduced-resolution data for long-term periods. This dynamic approach allows the system to adapt storage requirements based on the time since examination and anticipated diagnostic needs, optimizing the balance between image quality and storage space.
Solution Approach 2:
The patent performs preliminary action by creating reduced-resolution versions of medical images at the time of the original examination, rather than waiting until storage becomes problematic. This advance preparation ensures that both high-quality and space-efficient versions are available when needed, preventing future storage issues while maintaining diagnostic capability.
3Productivity
If lower resolution data is used for storage, then storage efficiency improves, but diagnostic accuracy deteriorates
Solution Approach 1:
The patent creates a copy of the medical image data at reduced resolution for long-term storage while preserving the original full-resolution data for short-term storage. This copying strategy allows the system to achieve storage efficiency with the reduced-resolution copy while maintaining diagnostic accuracy by retaining the original high-quality copies for cases where full diagnostic capability is required.
Data Source
AI summary
Methods for electronically compressing data from a multidimensional medical data set for long-term storage includes: (a) generating a first medical image from a patient multi-dimensional medical image data set in a short-term storage format; and (b) compressing the patient medical image data set into a long-term storage format using at least one viewing parameter.