Movable Detector Panels for Point-of-Care PET Imaging
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Solution Overview
Problem
Conventional PET systems are not designed for point-of-care applications, requiring patients to be transported to large scanners, which is impractical for scenarios like neuro-intensive-care units, and lack the flexibility for targeted imaging of specific organs or regions.
Innovation Solution
A compact, self-contained PET system with movable detector panels and a tracking system that allows real-time image reconstruction and feedback, utilizing time-of-flight information to compensate for limited angular sampling and provide targeted imaging of regions of interest.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional PET systems use large numbers of gamma-ray detectors arranged in multi-ring or multi-plane geometry to provide complete angular coverage, then measurement precision and sensitivity are improved, but device complexity and size increase significantly
Solution Approach 1:
The PET system is divided into multiple independent detector panels that can be separately positioned and moved. Each panel contains a subset of detectors, and the complete system is formed by combining data from multiple panels at different angular positions. This segmentation reduces the complexity of any single detector assembly while maintaining complete angular coverage through coordinated movement of multiple smaller units.
Solution Approach 2:
The detector panels are designed to be movable relative to each other, allowing dynamic reconfiguration of the detector geometry. The system can adjust the angular positions and spacing of detector panels to optimize sampling for different imaging scenarios. This dynamic capability replaces the need for fixed, complex multi-ring geometries with a simpler, adaptable arrangement.
2Adaptability or versatility
If PET systems are designed as large whole-body scanners to provide comprehensive imaging capability, then adaptability to different imaging needs is improved, but ease of operation and patient accessibility worsen due to the need to transport patients
Solution Approach 1:
The system is segmented into portable detector panels that can be brought to the patient rather than requiring patient transport to a large scanner. The detector panels can be configured for different imaging applications (whole-body, organ-specific, research) through selective positioning and combination of panels, maintaining versatility while improving accessibility.
Solution Approach 2:
The same set of movable detector panels can be configured for multiple imaging applications including whole-body imaging, organ-specific imaging, and research studies. The system's adaptability comes from the flexible positioning and computational reconstruction methods rather than requiring different dedicated hardware for each application type.
3Measurement precision
If application-specific PET systems are used to optimize for particular imaging tasks, then measurement precision for specific applications is improved, but adaptability to other applications deteriorates
Solution Approach 1:
The detector panels can be dynamically repositioned and reconfigured for different imaging tasks. The same physical hardware can be optimized for whole-body imaging, organ-specific imaging, or research applications by adjusting panel positions, movement trajectories, and reconstruction parameters, eliminating the need for dedicated application-specific systems.
Solution Approach 2:
The system optimizes for different applications by changing operational parameters such as detector positioning, scanning trajectories, acquisition time, and reconstruction algorithms rather than changing the physical hardware configuration. This allows a single system to achieve application-specific performance across multiple imaging tasks.
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 molecular imaging in point-of-care settings with real-time feedback, allowing for interactive adjustment of imaging protocols and detector configurations, achieving artifact-free images with fewer detectors and reduced costs, thus facilitating broader clinical utility.
Implementation Method 1
a tracking system configured to detect a position of the second detector panel relative to the first detector panel
Implementation Method 2
PET systems use coincidence detection to provide electronic collimation of annihilation γ-rays that are generated when positrons annihilate with electrons
Implementation Method 3
annihilation γ-rays that are generated when positrons annihilate with electrons
Implementation Method 4
utilizing time-of-flight information to compensate for limited angular sampling
Data Source
AI summary
A positron emission tomography (PET) system is provided. The system includes a first detector panel including a first array of detectors, a second detector panel including a second array of detectors, said second detector panel being moveable relative to a point between the first detector panel and the second detector panel, a tracking system configured to detect a position of said second detector panel relative to the first detector panel while imaging a subject, a computing device in communication with the first detector panel, the second detector panel, and the tracking system, the computing device configured to receive coincidence data from the first and second detector panels, receive position data from the tracking system, wherein each coincidence datum of the received coincidence data is associated with a unique position datum of the received position data, and reconstruct a plurality of images based on the received coincidence data and the received position data.