Anatomically Varying Gating for Nuclear Medicine Image Reconstruction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current nuclear medicine imaging techniques face challenges in achieving high-resolution images efficiently due to high computational load and the need for extensive data processing, particularly in reconstructing dynamic and static volumetric regions simultaneously, which affects the throughput and accuracy of image reconstruction.
Innovation Solution
The method involves segmenting the image into dynamic and static volumetric regions using anatomically varying time-bin lengths, allowing for separate reconstruction of each region, thereby reducing computational complexity and improving reconstruction quality and time efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional gating techniques with uniform time bins are used, then the image reconstruction can be performed, but the computational load becomes excessively high and the throughput becomes bottlenecked
Solution Approach 1:
The patent segments the volumetric image into multiple sub-volumes (e.g., left ventricle, right ventricle, septum) and applies different gating strategies to each segment. This allows the computational burden to be distributed across smaller, more manageable regions rather than processing the entire heart volume uniformly, thereby reducing overall computational load while maintaining reconstruction accuracy.
Solution Approach 2:
The patent applies different time-bin durations and gating parameters to different anatomical regions based on their specific functional characteristics. For example, regions with higher motion variability receive shorter time bins and more aggressive gating, while relatively stable regions use longer time bins. This localized optimization reduces computational complexity in low-demand areas while preserving accuracy where needed.
2Measurement precision
If dynamic volumetric regions are reconstructed with high temporal resolution, then the functional information is captured accurately, but the computational complexity increases significantly
Solution Approach 1:
The patent divides the dynamic volumetric region into smaller sub-volumes and processes them independently with appropriate time-bin durations. This segmentation allows high temporal resolution to be achieved in critical dynamic regions without subjecting the entire volume to the same computational intensity, thereby managing overall complexity.
Solution Approach 2:
The patent dynamically adjusts time-bin durations and gating parameters based on the functional characteristics of different volumetric regions. Regions with complex motion patterns receive shorter time bins for high temporal resolution, while simpler regions use longer bins. This dynamic adaptation optimizes the balance between temporal accuracy and computational complexity.
3Ease of manufacture
If the entire volumetric region is processed uniformly, then the processing is simple, but the reconstruction time becomes excessive and throughput is limited
Solution Approach 1:
The patent segments the volumetric image into multiple sub-volumes with different processing requirements and applies corresponding gating strategies to each. This segmentation enables the system to process regions with varying computational intensity simultaneously, reducing total reconstruction time while maintaining manageable processing complexity through automated region identification.
Solution Approach 2:
The patent changes key parameters such as time-bin duration and gating aggressiveness based on the functional characteristics of different volumetric regions. By adjusting these parameters locally rather than applying uniform settings, the system optimizes reconstruction speed without sacrificing the simplicity of the overall processing framework.
Data Source
Figure 1A~1D
Figure 2A~2B
Figure 3A~3D
AI summary
A method for reconstructing a radioactive emission image (figure 14) of an overall volume (1002) having first and second volumetric regions, each volumetric region having respectively independent dynamic characteristics. The method comprises the following steps: a) obtaining radioactive emissions from the overall volume, including the volumetric regions, b) reconstructing an initial radioactive emission image of the volumetric region according to the radioactive emissions (992), c) segmenting the initial radioactive emission image to delineate the first and second volumetric regions (991), and d) separately reconstructing the first and the second volumetric regions according to the respectively independent dynamic characteristics.