Physiological Data Association with Medical Image Acquisition
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Solution Overview
Problem
Current medical imaging technologies such as PET, SPECT, and CT struggle to generate high-quality images due to patient physiological movements, particularly breathing, which makes it difficult to accurately associate image data with respiratory phases in a timely manner, leading to long wait times for image data analysis.
Innovation Solution
A method and system that rapidly determine the phase of a respiratory cycle and associate image data with it within 60 seconds, preferably within 15 seconds, during or immediately after image acquisition, using a processor and position monitoring system to track breathing motion and calculate phase values, allowing for real-time or near-real-time image data processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image data acquisition is completed before associating with motion data, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The system performs preliminary actions by continuously acquiring and storing motion data during the image acquisition process, so that when image data is ready for association, the corresponding motion data is already available. This eliminates the need to wait for motion data acquisition to complete before associating with image data, thereby reducing the overall wait time while maintaining association accuracy.
Solution Approach 2:
The system maintains continuous acquisition of both image data and motion data simultaneously throughout the imaging process. Rather than completing one process before starting the other, both data streams are acquired continuously and independently, allowing for immediate association once both are available, thus minimizing idle time and improving workflow efficiency.
2Device complexity
If breathing motion is not monitored, then device complexity is reduced, but manufacturing precision deteriorates
Solution Approach 1:
The system introduces a motion monitoring component as an intermediary that tracks breathing motion and provides phase information. This intermediary element enables the association of image data with respiratory phases, improving image quality by accounting for motion effects, while the modular nature of this component allows it to be integrated without significantly increasing overall system complexity.
Data Source
AI summary
A method of processing image data that includes obtaining image data, determining a phase of a respiratory cycle, and associating the image data with the determined phase within 60 seconds, and more preferably, within 15 seconds, after the image data is obtained. A system for processing image data that includes a processor configured for obtaining image data, determining a phase of a respiratory cycle, and associating the image data with the determined phase within 60 seconds, and more preferably, within 15 seconds, after the image data is obtained. A method of processing image data that includes obtaining image data during an image acquisition session, determining a phase of a respiratory cycle, and associating the image data after the image data is obtained but before the image acquisition session is completed.