Segmented Imaging Pallet for Multi-Modality Artifact Reduction
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Solution Overview
Problem
Multi-modality imaging systems face challenges with image artifacts due to non-optimally designed common pallets for different imaging modalities, leading to costly and time-consuming changes between pallets, and suboptimal imaging quality when using a single common pallet.
Innovation Solution
A multi-modality imaging system with an elongated support pallet having distinct portions shaped for different imaging modalities, allowing for precise positioning within each modality's field of view to minimize artifacts and optimize energy attenuation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a common pallet is used for different imaging modalities, then device complexity and cost are reduced, but imaging quality deteriorates due to non-optimized geometry for each modality
Solution Approach 1:
The pallet is divided into multiple sections along its length, with each section having a different geometry optimized for a specific imaging modality. The pallet body includes a first section with a first geometry for a first imaging modality and a second section with a second geometry for a second imaging modality, allowing each section to be optimized for its intended use while remaining part of a single integrated structure.
Solution Approach 2:
Different portions of the pallet have different geometric properties tailored to the specific requirements of each imaging modality. The first section has geometric characteristics optimized for the first modality's field of view, while the second section has characteristics optimized for the second modality's field of view, ensuring local optimization without requiring complete redesign of the entire pallet.
2Manufacturing precision
If separate pallets are used for each imaging modality, then imaging quality is optimized for each modality, but device complexity and time for pallet changes increase
Solution Approach 1:
Multiple pallet sections with different geometries are combined into a single integrated pallet structure. The first section and second section are joined to form one continuous pallet body that can be used across multiple imaging modalities, eliminating the need for separate pallets while maintaining modality-specific geometric optimization.
Solution Approach 2:
The pallet is designed to serve multiple imaging modalities simultaneously through its multi-sectional geometry. A single pallet can be positioned to present the appropriate section to each imaging modality's field of view, making the pallet universal for different modalities without sacrificing modality-specific optimization.
3Manufacturing precision
If separate pallets are used for each imaging modality, then imaging quality is optimized, but loss of time increases due to frequent pallet changes
Solution Approach 1:
Multiple pallet sections with different geometries are combined into a single integrated pallet structure. The first section and second section are joined to form one continuous pallet body that can be used across multiple imaging modalities, eliminating the need for separate pallets while maintaining modality-specific geometric optimization.
4Productivity
If a common pallet is used for different imaging modalities, then productivity is improved by eliminating pallet changes, but imaging quality deteriorates due to artifacts from non-optimized geometry
Solution Approach 1:
The pallet is divided into multiple sections along its length, with each section having a different geometry optimized for a specific imaging modality. The pallet body includes a first section with a first geometry for a first imaging modality and a second section with a second geometry for a second imaging modality, allowing each section to be optimized for its intended use while remaining part of a single integrated structure.
Solution Approach 2:
Different portions of the pallet have different geometric properties tailored to the specific requirements of each imaging modality. The first section has geometric characteristics optimized for the first modality's field of view, while the second section has characteristics optimized for the second modality's field of view, ensuring local optimization without requiring complete redesign of the entire pallet.
Data Source
AI summary
A multi-modality imaging system including first and second imaging modality units having respective field of views (FOVs) that are spaced apart from each other. The imaging system also having a positioning system that includes an imaging pallet. The pallet has an elongated support body that includes first and second portions that extend lengthwise along the support body. The first portion is shaped for imaging within the FOV of the first modality unit, and the second portion is shaped for imaging within the FOV of the second modality unit. The first and second portions are shaped differently than each other. The positioning system is configured to position the first portion of the pallet within the FOV of the first modality unit and configured to position the second portion of the pallet within the FOV of the second modality unit.