PET Coordinate Alignment via Intermediary Marker
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Solution Overview
Problem
Determining the position relationship between a PET device and an optical measuring device is challenging, especially when ensuring the flexibility of PET measurements, as a fixed position restricts flexibility while a variable position makes it difficult to maintain consistency during measurement.
Innovation Solution
An information processing method that acquires 3D data representing the distribution of radiation rays from within a physical object, its inner and outer shape, and at least a part of its outer shape. The method then derives a relationship between the three-dimensional coordinates associated with these data sets to facilitate body motion correction during PET measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed position relationship is maintained between PET device and optical measuring device, then measurement consistency is improved, but measurement flexibility is worsened
Solution Approach 1:
The patent introduces a marker as an intermediary object that can be detected by both the PET device and the optical measuring device. This marker serves as a common reference point that enables coordinate transformation between the two devices without requiring a fixed physical relationship between them. The marker acts as a mediator that bridges the coordinate systems of the PET device and optical measuring device, allowing flexible positioning while maintaining measurement consistency through software-based coordinate alignment.
2Adaptability or versatility
If a variable position relationship is used between PET device and optical measuring device, then measurement flexibility is improved, but position relationship consistency is worsened
Solution Approach 1:
The marker serves as a stable intermediary reference that remains consistent even when the relative positions of the PET device and optical measuring device change. By detecting the marker's position with both devices and performing coordinate transformation, the system maintains position relationship consistency through mathematical alignment rather than physical fixation, enabling flexible positioning without sacrificing measurement reliability.
Solution Approach 2:
The patent changes the parameter representation from fixed physical positions to flexible coordinate transformations. By using coordinate system parameters and transformation matrices based on marker detection, the system can adapt to variable physical positions while maintaining consistent measurement relationships through software-based parameter adjustment rather than rigid mechanical positioning.
3Device complexity
If coordinate transformation is performed without intermediate reference data, then processing complexity is reduced, but coordinate alignment accuracy is worsened
Solution Approach 1:
The marker serves as intermediate reference data that simplifies the coordinate transformation process. Instead of performing complex direct coordinate transformation between PET and optical device coordinate systems, the system uses the marker's position as an intermediate reference point. This two-step transformation (PET to marker, marker to optical) is mathematically simpler and more accurate than direct transformation, improving coordinate alignment accuracy while keeping processing manageable through the use of this intermediate reference.
Data Source
AI summary
The relationship between coordinates associated with the distribution of radiation rays emitted from the inside of a physical object and coordinates associated with the outer shape of this physical object is easily derived. Based on first 3D data (Da) in which the distribution of radiation rays emitted from the inside of a physical object (subject P) is represented in first coordinates (Ca), second 3D data (Db) in which the inside and the outer shape of the physical object are represented in second coordinates (Cb), and third 3D data (Dc) in which at least a part of the outer shape of the physical object is represented in third coordinates (Cc), a relationship (R) between the first coordinates and the third coordinates is derived.