Reduced Crystal PET Scanner Design
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Solution Overview
Problem
The high cost of scintillator crystals in digital PET scanners makes them unaffordable for less affluent medical facilities, and reducing their number compromises image resolution.
Innovation Solution
A nuclear imaging system with a reduced number of scintillator crystals, where unoccupied detector pixel locations are estimated using data from neighboring crystals, allowing for the reconstruction of images without significant loss in quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If the number of scintillator crystals is reduced to lower cost, then the overall system cost is reduced, but the detector resolution and image resolution deteriorate
Solution Approach 1:
The patent creates virtual copies of detector pixel data through estimation algorithms. Missing detector pixel data is synthesized by copying and interpolating information from neighboring detector pixels, effectively creating virtual detector elements that maintain resolution without requiring physical crystals at every location.
Solution Approach 2:
The patent introduces an intermediary processing layer between the reduced physical detector array and the final image reconstruction. Estimation algorithms act as mediators that infer missing data from available measurements, allowing the system to bridge the gap between reduced hardware and maintained image quality.
2Ease of manufacture
If the number of scintillator crystals is reduced to lower cost, then the crystal cost is reduced, but the PET detector resolution deteriorates
Solution Approach 1:
The patent uses data copying and interpolation techniques to generate virtual detector pixel values from neighboring physical detectors. This allows the system to maintain detector resolution by synthesizing measurements that would otherwise require additional physical crystals.
Solution Approach 2:
The patent transforms the detection problem by changing from direct physical measurement at every pixel location to indirect estimation through mathematical modeling. The system changes the parameter representation from physical crystal presence to computational data inference, maintaining measurement precision with fewer physical elements.
3Ease of manufacture
If scintillator crystals are removed from certain detector pixel locations, then the system cost is reduced, but the acquired radiation event data becomes incomplete
Solution Approach 1:
The patent introduces estimation algorithms as intermediary processors that recover lost radiation event data from neighboring detectors. These algorithms act as mediators that infer missing information through mathematical relationships, compensating for the physical absence of crystals at certain locations.
Solution Approach 2:
The patent implements feedback mechanisms where the reconstruction algorithm iteratively refines estimates of missing data based on the complete dataset and known imaging physics. The system uses feedback from the reconstructed image and forward projections to improve estimates of radiation events at locations without physical crystals.
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
This approach reduces the cost of imaging systems while maintaining image quality by estimating data for missing detector pixels, thereby compensating for the reduced number of crystals.
Implementation Method 1
the module having scintillator crystals defining a regular array of detector pixels
Data Source
AI summary
A diagnostic imaging system utilizing a reduced crystal design pattern is utilized to image a subject and collect event data. The reduced crystal design pattern includes filled crystal locations and empty crystal locations. A processor accounts for empty crystal locations by selecting windows that include nearest neighbor filled crystal locations. The nearest neighbor filled crystal locations include event data which is averaged by the processor and assigned to the empty crystal location. A weighted average based on distance or event strength is incorporated.