Crystal Lookup Table Generation for PET Scintillator Arrays
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In positron emission tomography (PET) systems, the small size of scintillator crystals leads to a low signal-to-noise ratio and distortion during signal encoding/decoding, making crystal identification in detector arrays challenging, especially with existing labor-intensive manual methods.
Innovation Solution
A method and system for generating and correcting a crystal central position map (CCPM) based on a flood histogram, involving normalization, decay mask treatment, threshold determination, and dynamic programming to accurately identify crystal positions and generate a crystal lookup table.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual peak clicking and region segmentation is used for crystal identification, then crystal positions can be identified, but the process becomes labor intensive and time-consuming
Solution Approach 1:
The system performs self-identification of crystal positions through automated algorithms. The flood histogram is processed through normalization, decay mask treatment, and threshold determination to automatically locate crystal peaks and generate the crystal central position map without human intervention, making the system serve itself rather than requiring manual operation
Solution Approach 2:
The manual mechanical process of clicking peaks on a computer screen is replaced with an automated image processing system. The patent substitutes human manual operation with computational algorithms including zero-one normalization, decay mask treatment, and threshold determination that automatically identify crystal positions from the flood histogram
2Measurement precision
If the number of scintillator crystals is increased to improve resolution, then imaging resolution improves, but crystal array distortion increases making identification more challenging
Solution Approach 1:
The patent transforms the crystal position data from a distorted spatial arrangement into a normalized parameter space. By processing the flood histogram through normalization and decay mask treatment, the system changes the parameters of position representation, allowing accurate identification of crystal positions even when the physical crystal array is distorted
Solution Approach 2:
The flood histogram serves as an intermediary that captures the positional information of crystals without being affected by physical array distortion. The histogram transforms the distorted spatial positions into a representational space where standard image processing techniques can accurately identify crystal locations, acting as a mediator between the distorted physical array and the identification process
3Measurement precision
If scintillator crystal size is reduced to increase crystal density, then detector resolution improves, but signal-to-noise ratio decreases
Solution Approach 1:
The patent merges multiple small crystal signals into a collective flood histogram representation. By combining the positional information from all crystals into a single histogram structure, the system accumulates signal information that overcomes the low signal-to-noise ratio of individual small crystals, allowing accurate position identification despite reduced individual crystal signal strength
Data Source
AI summary
Some embodiments of the present disclosure relates to a method and system for generating crystal lookup table (CLT) based on a flood histogram. The method may include receiving a flood histogram of a subject; determining a crystal central position map based on the flood histogram, the crystal central position map including a plurality of crystal central positions, forming rows and columns of the plurality of crystal central positions to generate a labelled crystal lookup table, forming a template based on the rows and the columns in the labelled crystal central position map, and correcting the labelled crystal central position map based on the template and the flood histogram to obtain a corrected crystal central position map. A crystal lookup table may be formed.