PET Image Reconstruction Using Event Data Segmentation
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Solution Overview
Problem
Event-based positron emission tomography (PET) reconstruction techniques, especially those incorporating time-of-flight (TOF) data, require significant computational resources, leading to increased processing times and delayed image generation, which is undesirable for timely evaluation of scan success and image quality.
Innovation Solution
A list-based reconstruction method that splits detected events into portions, allowing for the generation of intermediate and composite volumetric data, using a first portion for fast image generation and updating it with a second portion, while optimizing event selection and error corrections to reduce computational load and processing time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If event-based reconstruction techniques are used with TOF data, then image definition and spatial location specificity are improved, but computational requirements and processing times increase significantly
Solution Approach 1:
The patent divides the complete event list into multiple portions (e.g., first portion and second portion) and processes them separately. The first portion is used to generate an initial image estimate quickly, while the second portion is used for refinement. This segmentation allows the system to achieve good image definition without processing all events simultaneously, thus reducing overall processing time.
Solution Approach 2:
The patent performs preliminary reconstruction using only the first portion of event data to generate an initial image estimate before processing the second portion. This preliminary action provides a fast initial result that can be used for immediate evaluation while the complete reconstruction is still being performed in the background.
2Measurement precision
If complete event data is processed to generate final images, then image quality and definition are optimized, but scan evaluation timing is delayed
Solution Approach 1:
The event data is segmented into portions that can be processed at different stages. The first portion enables timely scan evaluation with acceptable image quality, while the second portion refines the image quality further. This allows the system to meet both timing requirements and quality standards.
Solution Approach 2:
The patent applies partial action by processing only a portion of the event data for initial image generation, rather than waiting for complete data processing. This partial processing provides sufficient image quality for evaluation purposes while significantly reducing the time required for scan evaluation.
3Adaptability or versatility
If event-based reconstruction is applied, then information flow from detection to image is improved, but computational load increases
Solution Approach 1:
The computational process is segmented into multiple stages handling different portions of event data. This segmentation reduces the computational load at any single stage while maintaining the benefits of event-based reconstruction. The system can process events in batches rather than all at once, reducing peak computational requirements.
Solution Approach 2:
The patent performs preliminary computational actions using a subset of event data to establish initial image parameters before processing the complete event list. This preliminary computation reduces the overall computational load by performing simpler operations first and reserving complex operations for the refinement stage.
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 enables faster production of intermediate and final images, allowing for timely confirmation of scan success and improved image quality with reduced computational requirements, balancing image definition and processing time.
Implementation Method 1
each of a plurality of positrons reacts with an electron in what is known as a positron annihilation event, thereby generating a coincident pair of 511 keV gamma rays
Implementation Method 2
A gamma ray pair detected within a coincidence time is ordinarily recorded by the PET scanner as an annihilation event
Implementation Method 3
In TOF imaging the time within the coincidence interval at which each gamma ray in an event coincident pair is detected is measured, providing an indication of a location of a detected event along its line of coincidence
Data Source
AI summary
A method and system for use in positron emission tomography, wherein a list-based reconstructor means (129) is configured to generate first portion volumetric data responsive to a first portion of a plurality of positron annihilation events detected during a positron emission tomography scan; generate a human-readable image indicative of the first portion volumetric data; use a list-based reconstruction technique to generate composite volumetric data responsive to the first portion volumetric data and a second portion of the plurality of positron annihilation events; and generate a composite human-readable image indicative of the composite volumetric data. In another aspect the reconstructor (129) is configured to selecting first or second portion event quantities responsive to one or more parameters including image definition requirements and processing time requirements.