Client-Side 3D Medical Imaging Data Compression via Video Encoding
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Solution Overview
Problem
Current medical imaging technologies face challenges in efficiently handling and transmitting large volumes of medical imaging data, particularly in remote diagnostics and data storage, due to the cumbersome nature of data transfer and storage.
Innovation Solution
The implementation of methods and apparatuses for client-side compression and extraction of medical imaging data, specifically using video compression techniques to convert spatial axes of 3D volumetric image data into time axes, allowing for efficient compression and reduced data transfer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If volumetric medical imaging data is transmitted to remote locations for processing and storage, then diagnostic and treatment capabilities are improved, but data transfer time and storage burden increase significantly
Solution Approach 1:
The patent segments the 3D volumetric medical image data into multiple 2D image sections or slices. This segmentation allows the data to be processed and transmitted in a more efficient manner, reducing the overall data transfer time while maintaining diagnostic quality. The segmented 2D images can be handled more easily by communication systems compared to large volumetric datasets.
Solution Approach 2:
The patent extracts only the essential 2D image sections from the 3D volumetric data that are necessary for remote diagnostic purposes. By taking out only the critical information needed for diagnosis and treatment planning, the system reduces data transfer requirements and storage burden at remote locations while preserving diagnostic capability.
2Ease of operation
If volumetric medical imaging data is stored at multiple locations for remote access, then accessibility is improved, but storage requirements and complexity increase
Solution Approach 1:
The patent creates compressed 2D image representations of the 3D volumetric data that can be copied and distributed to multiple remote locations. These compressed copies maintain diagnostic quality while requiring significantly less storage space, enabling widespread accessibility without proportionally increasing storage system complexity.
3Productivity
If 3D volumetric image data is processed remotely, then specialized processing capabilities are utilized, but data transmission bandwidth requirements increase
Solution Approach 1:
The patent segments 3D volumetric data into 2D image sections for remote processing. This segmentation reduces the quantity of data that needs to be transmitted while still enabling specialized processing at remote locations, as the 2D sections can be reassembled or analyzed to achieve diagnostic processing goals.
Solution Approach 2:
The patent transforms 3D volumetric data into 2D image sections, effectively reducing dimensionality. This dimensional change significantly reduces the data volume that must be transmitted over communication networks while preserving the essential diagnostic information needed for remote processing and analysis.
Data Source
AI summary
Apparatuses and computer-implemented methods for compression and extraction of three-dimensional (3D) volumetric imaging data, including in particular medical and dental imaging data, that may receive the 3D volumetric image data and preparing compressed 3D volumetric image data for compression by analyzing a relevant region of the 3D volumetric image data. The method may further include compressing, into compressed 3D volumetric image data, the pre-processed static 3D volumetric image data using a video compression scheme. Various other methods, systems, and computer-readable media are also disclosed.