In-Vivo Image Stream Construction from Raw Data Files
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Solution Overview
Problem
Current in-vivo imaging systems face challenges in efficiently receiving, recording, processing, and presenting image data from devices like capsules moving through body lumens, particularly in storing and downloading raw data for further analysis and reuse.
Innovation Solution
An in-vivo imaging system comprising an imaging device, a receiver/recorder, and a workstation or portable device that creates RDB files from raw data, allowing for efficient storage, compression, and transfer of image data to a memory or network, enabling easy reuse of the receiver/recorder for new data downloads.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If raw in-vivo image data is stored in memory for later use, then the data can be preserved and analyzed, but the storage capacity is consumed and the receiver/recorder cannot be immediately reused
Solution Approach 1:
The patent extracts the raw data from the receiver/recorder memory and transfers it to an external storage medium (workstation or portable device). This extraction allows the receiver/recorder memory to be cleared and reused immediately, while the data remains preserved in the external storage for later analysis and image stream construction.
2Productivity
If in-vivo raw data is compressed into single or several files, then the data can be easily transferred and stored, but the processing and construction of image streams becomes more complex
Solution Approach 1:
The patent introduces an intermediary software component that handles the decomposition of compressed files into individual image frames and reconstructs them into coherent image streams. This intermediary processing layer manages the complexity of file decomposition and frame reassembly, making the overall system more manageable despite the compression format's complexity.
3Loss of information
If all in-vivo raw data is downloaded to a workstation or portable device, then complete data analysis is enabled, but the download time and data transfer requirements increase
Solution Approach 1:
The patent implements a selective download approach where only the necessary portions of raw data are transferred to the workstation or portable device. The system can download complete datasets when full analysis is required, or partial datasets when specific segments need review, thereby reducing unnecessary data transfer time and bandwidth consumption while maintaining data completeness when needed.
Data Source
AI summary
A system, device and method for constructing an in-vivo image stream from in-vivo raw data base files. The in-vivo imaging system may include, for example an in-vivo imaging device, a receiver/recorder and a computing device such as a workstation a portable device and/or a portable memory.