PET Device Movement for Ultra-High Resolution Imaging
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Solution Overview
Problem
PET systems face limitations in achieving high spatial resolution due to detector size, which degrades sensitivity and prevents obtaining ultra-high resolution images, and existing methods either rely on preprocessing or post-processing of low-resolution images or do not involve movement of the PET device.
Innovation Solution
A method involving the movement of a PET device, utilizing a driving member and control unit to sample data from detectors, reconstructing images using acquired PET data and position information through an iterative process that corrects pixel values and accounts for detector movement, allowing for ultra-high resolution imaging beyond the detector width limit.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the detector size is reduced to improve spatial resolution, then the spatial resolution is improved, but the sensitivity of the system is greatly degraded
Solution Approach 1:
The patent applies dynamics by making the PET detector movable rather than fixed. The detector is driven to move to different positions during data acquisition, allowing the system to collect projection data from multiple detector positions. This dynamic approach enables super-resolution reconstruction by combining data from multiple positions, effectively achieving spatial resolution better than the detector width without requiring smaller detectors, thus maintaining sensitivity.
2Measurement precision
If the detector size is reduced to achieve ultra-high resolution, then the spatial resolution is improved, but the difficulty of detecting and measuring increases
Solution Approach 1:
The patent transitions from a single-position detection approach to a multi-position detection approach by adding the spatial dimension of detector movement. Instead of relying solely on reducing detector size in one dimension, the system moves the detector to multiple positions and combines the projection data through iterative reconstruction algorithms. This dimensional approach to data collection enables ultra-high resolution while maintaining manageable detector sizes and detection feasibility.
3Measurement precision
If a fusion imaging system such as PET-CT or PET-MR is introduced to overcome resolution limits, then the imaging capability is improved, but the performance of the PET itself remains limited and influences the fusion imaging system
Solution Approach 1:
The patent extracts and addresses the PET resolution limitation independently by introducing detector movement specifically for the PET component. Rather than relying on fusion with CT or MR to compensate for PET's inherent resolution limits, the system enhances PET's own imaging capability through motion-based super-resolution reconstruction. This allows the PET system to achieve ultra-high resolution on its own, improving overall fusion imaging performance without being constrained by the PET's traditional resolution limitations.
Data Source
AI summary
A method for acquiring a PET image with ultra high resolution using movement of a PET device is provided. In the related art, there is a limit in lowering of the resolution below a half (d/2) of the width of a detector. According to the provided method, an image with ultra high resolution, which can jump over the limit, can be acquired. Further, since utilization of larger detectors becomes possible without a loss of the resolution, the sensitivity of the PET can be improved, and thus an image of higher quality can be acquired.