Real-Time 3D Volumetric Image Data Transfer via Video Conversion
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Solution Overview
Problem
Existing medical imaging systems face challenges in reliably transferring real-time 3D volumetric image data to medical devices during procedures, particularly due to the unreliability of standard networks like DICOM, which may not be available or functional in clinical settings.
Innovation Solution
The system processes 3D image data from imaging systems into video data format, allowing for real-time transfer to medical devices without relying on standard image data communication networks, using techniques such as optical character recognition and image feature analysis to reorder and organize image frames accurately.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If standard network protocols like DICOM are used for image data transfer, then image data can be transferred using established communication standards, but the transfer reliability is poor and the network may not be available in clinical settings
Solution Approach 1:
The patent introduces an intermediary conversion system that transforms 3D volumetric image data into video data format. This intermediary approach bypasses the unreliable DICOM network protocol by using video transmission protocols instead, thereby improving transfer reliability in clinical settings where standard medical networks may not be available.
Solution Approach 2:
The patent changes the data format parameter from DICOM 3D volumetric data to video data format. This parameter transformation enables the use of video transmission protocols rather than medical imaging network protocols, resolving the issue of network unavailability and improving transfer reliability in diverse clinical environments.
2Reliability
If 3D volumetric image data is converted to video data format, then real-time transfer reliability is improved, but the data processing complexity increases due to OCR and image feature analysis
Solution Approach 1:
The patent extracts and processes only the necessary components of the 3D volumetric image data by converting it to video format and using OCR to extract text information. This selective extraction approach manages processing complexity by focusing on essential data elements rather than attempting to transfer the complete original data structure.
Solution Approach 2:
The patent creates a video data copy of the 3D volumetric image data. This copying approach allows the system to work with a simplified representation that is easier to process and transmit in real-time, while still preserving the essential anatomical information needed for navigation.
3Measurement precision
If image frames are reordered using OCR and feature analysis, then accurate anatomical information is preserved, but the processing time increases
Solution Approach 1:
The patent performs preliminary conversion of 3D volumetric data to video format before actual transfer. This preliminary action organizes the data in advance, allowing for more efficient real-time processing during the medical procedure. The OCR and feature analysis are prepared in advance, reducing the time needed during critical real-time operations.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables reliable and efficient transfer of 3D image data for real-time navigation during medical procedures, ensuring accurate anatomical information is available to medical devices, bypassing the limitations of standard networks like DICOM.
Implementation Method 1
implementing an optical character recognition (OCR) technique on the plurality of image frames to render text information contained in the image frames
Data Source
AI summary
A system may perform operations including receiving data comprising a plurality of image frames sampled from a volume data set of an imaged anatomical region displayable on a monitor. The plurality of image frames may correspond to a plurality of volume data reconstruction images displayed on the monitor in a series of image slices of a scrollable image stack. The operations also include analyzing the plurality of image frames to detect image features that are characteristic of a static view region in each image frame and evaluating the detected image features to determine a relative location of the detected one or more image features with respect to a scrolling view region for each image frame. The operations also include determining an ordered set of the image frames sorted according to a sequence based on relative locations and producing processed video data comprising the ordered set of the image frames.