Cross-Modality Motion Modeling for PET-CT Attenuation Correction
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Solution Overview
Problem
Medical imaging systems face challenges in accurately determining motion information of a subject between scans, which affects the accuracy of attenuation correction and lesion detection in PET-CT imaging due to patient movement during position changes.
Innovation Solution
A method and system that utilize a first and second medical device of different modalities to generate models based on obtained images, determining motion information by registering point cloud models and performing attenuation correction using CT images to improve PET image accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a patient moves from a first position to a second position between CT scan and PET scan, then the imaging workflow can be completed, but the accuracy of attenuation correction for PET image is reduced
Solution Approach 1:
The system captures a second image of the patient's body surface at the second position before performing the PET scan. This preliminary action allows the system to detect motion information and perform attenuation correction using the captured images, thereby maintaining accuracy despite the position change necessary for workflow completion.
Solution Approach 2:
The system generates a first model and a second model based on the first and second images respectively. These models represent the patient's body surface at different positions and are used to calculate attenuation correction factors, enabling accurate correction without requiring the patient to remain in the exact same position.
2Device complexity
If motion information is not determined between scans, then the imaging process is simpler, but the detection, localization, and quantification of lesions become inaccurate
Solution Approach 1:
The system introduces an image acquisition device as an intermediary to capture the patient's body surface at different positions. This device enables motion detection and attenuation correction without significantly complicating the overall imaging process, thereby maintaining lesion detection accuracy.
Solution Approach 2:
The system changes the parameter being measured from just the internal body structures to include the body surface position. By capturing images at different positions and calculating motion information, the system maintains accurate lesion detection while allowing necessary patient movement.
Data Source
AI summary
The present disclosure is related to systems and methods for determining motion information of a subject. The method may include obtaining a first image of a subject. The first image may be obtained by performing a first scan on the subject using a first medical device of a first modality. The method may include obtaining a second image of the subject. The second image may be obtained by an image acquisition device during a second scan. The second scan may be performed on the subject using a second medical device of a second modality. The method may include generating a first model of the subject based on the first image. The method may include generating a second model of the subject based on the second image. The method may include determining motion information of the subject based on the first model and the second model.