4D Image Transformation Effectiveness Assessment via Deformation Vectors
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Solution Overview
Problem
Conventional PET/CT imaging systems face challenges in determining the effectiveness of image transformation processes due to respiratory motion, which affects image quality and makes it difficult for operators to assess the accuracy of lesion size and location determination.
Innovation Solution
A method and system that acquire a four-dimensional image data set, sort it into separate field-of-view bins using a temporal gating system, generate deformation vectors, and calculate a transformation effectiveness value by comparing the power spectrum of the respiratory signal to the deformation vectors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional temporal gating methods are used to reduce respiratory motion artifacts, then image quality is improved, but the ability to assess transformation effectiveness is lost
Solution Approach 1:
The patent introduces a feedback mechanism by calculating and displaying a transformation effectiveness value that quantifies how well the image transformation process has corrected respiratory motion. This is achieved by comparing deformation vectors derived from the transformed image data with reference deformation vectors obtained from external respiratory monitoring, providing operators with objective feedback on transformation quality.
Solution Approach 2:
The patent uses deformation vectors as an intermediary element to bridge the gap between the image transformation process and the assessment of its effectiveness. These vectors serve as a mediator that translates the complex transformation operations into a quantifiable metric that can be compared against reference data from external respiratory monitoring.
2Measurement precision
If manual assessment of transformation effectiveness is performed, then detailed analysis is possible, but operator workload and time consumption increase
Solution Approach 1:
The system performs self-assessment by automatically calculating the transformation effectiveness value through comparison of deformation vectors with reference data. This eliminates the need for manual operator assessment while maintaining objective and consistent evaluation criteria, thereby reducing both time consumption and subjectivity in the assessment process.
Solution Approach 2:
The patent replaces manual visual inspection and subjective assessment with an automated computational system that uses mathematical algorithms to compare deformation vectors and calculate effectiveness metrics. This substitution of mechanical/manual processes with automated computational methods maintains measurement precision while dramatically reducing time requirements.
3Reliability
If respiratory gating is applied during PET scanning, then motion artifacts are reduced, but scan acquisition complexity increases
Solution Approach 1:
The patent implements a universal assessment framework that works with various respiratory gating strategies and transformation methods. The deformation vector comparison approach can be applied regardless of the specific gating protocol used, making the effectiveness assessment tool versatile and adaptable to different scanning scenarios without requiring separate assessment procedures for each method.
Data Source
AI summary
A method for determining the effectiveness of an image transformation process includes acquiring a four-dimensional (4D) image data set, sorting the 4D image data set into separate field-of-view bins using a temporal gating system generating a plurality of deformation vectors using the sorted 4D image data set, and using the plurality of deformation vectors to generate a transformation effectiveness value that is representative of the effectiveness of the image transformation process. The method further includes acquiring a respiratory signal, calculating a power spectrum of the respiratory signal, calculating a power spectrum for each of the plurality of deformation vectors, and comparing the power spectrum of the respiratory signal to the power spectrum of the plurality of deformation vectors to generate the transformation effectiveness value.