CT Gantry Angle Estimation for Motion Compensation
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Solution Overview
Problem
Existing methods for motion compensation in CT scans, particularly cardiac CT scans, face challenges in applying motion compensation techniques to stored or remotely processed imaging data due to the lack of available gantry rotation angle information, which is not typically stored with the imaging data.
Innovation Solution
A method and apparatus that process two or more medical imaging data sets to determine the gantry rotation angles by performing two-dimensional fast Fourier transforms and analyzing the differences between them, allowing for the estimation of gantry rotation angles without prior knowledge of the angles used in reconstruction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If motion compensation methods are tightly integrated into a CT scanner system using information from scanner itself, then motion compensation accuracy is improved, but the method cannot be applied to stored imaging data or data processed remotely
Solution Approach 1:
The patent introduces an intermediary approach by using standard DICOM tags that are universally available in imaging data to represent gantry rotation angles. This mediator allows motion compensation methods to work both within the scanner system and on stored or remotely processed data, bridging the gap between integrated and standalone applications.
Solution Approach 2:
The patent makes the motion compensation method universal by designing it to work in multiple contexts: within the scanner system using proprietary information and on stored or remotely processed data using standard DICOM tags. This multi-functionality resolves the contradiction between accuracy and adaptability.
2Adaptability or versatility
If gantry rotation angle information is stored with imaging data, then motion compensation can be applied to stored data, but the data storage requirements and processing complexity increase
Solution Approach 1:
The patent implements self-service by enabling the imaging data to contain its own motion compensation information through standard DICOM tags. The data carries its own gantry rotation angle information, allowing it to be independently processed for motion compensation without requiring external scanner system information, thus simplifying storage and processing while maintaining adaptability.
3Adaptability or versatility
If standard DICOM tags are used to store gantry rotation angle information, then data portability and remote processing are improved, but the precision and availability of angle information may be reduced
Solution Approach 1:
The patent uses standard DICOM tags as an intermediary representation for gantry rotation angles. While these tags provide universal compatibility and data portability, the system maintains precision by using them as a standardized interface that can represent the angle information accurately across different platforms and processing environments.
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
Enables the application of motion compensation methods to stored or remotely processed CT scan data by automatically determining the gantry rotation angles, improving image quality by reducing motion artifacts in cardiac CT scans.
Implementation Method 1
transform the first imaging data set to obtain a first transformed data set that is representative of the first measurement data as a function of at least one of angle or time; transform the second imaging data set to obtain a second transformed data set that is representative of the second measurement data as a function of at least one of angle or time
Data Source
AI summary
A medical imaging data processing apparatus comprises processing circuitry configured to obtain a first imaging data set comprising a set of pixels or voxels, the first imaging data set being reconstructed from first measurement data representative of measurements of a measurement volume obtained by relative rotation of a medical scanner and the measurement volume by a first range of angles during a first scanning time period; obtain a second imaging data set comprising a set of pixels or voxels, the second imaging data set being reconstructed from second measurement data representative of measurements of the measurement volume obtained by relative rotation of the medical scanner and the measurement volume by a second range of angles during a second scanning time period, wherein the second scanning time period overlaps the first scanning time period such that some angles are included in both the first range of angles and the second range of angles; transform the first imaging data set to obtain a first transformed data set that is representative of the first measurement data as a function of at least one of angle or time; transform the second imaging data set to obtain a second transformed data set that is representative of the second measurement data as a function of at least one of angle or time; and determine at least one angle of the first range of angles and/or second range of angles based on differences between the first transformed data set and second transformed data set.