Patient-Specific Effective Dose Estimation Before Medical Imaging
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Solution Overview
Problem
Existing medical imaging methods provide only rough approximations of effective dose, which vary significantly between patients and depend on imaging parameters, failing to account for individual patient sensitivity to ionizing radiation.
Innovation Solution
A method and device for estimating the effective dose of a subject prior to the medical image acquisition, wherein the predetermined subject model is adapted to the subject model is adapted to the current subject using image data, simulating ionizing radiation exposure to estimate the effective dose based on a predetermined subject model, and adjusting imaging parameters to minimize exposure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a predetermined subject model is adapted to the current subject using image data, then the measurement precision of effective dose estimation is improved, but the device complexity increases
Solution Approach 1:
A predetermined subject model is created in advance and stored in a database. Before actual imaging, this pre-prepared model is adapted to the current subject using image data from the imaging device, allowing rapid personalization without complex real-time calculations during the imaging process itself.
Solution Approach 2:
The predetermined subject model serves as a template or copy that can be quickly adapted to represent different subjects. Instead of creating a completely new model for each patient, the system copies and adapts the existing predetermined model using subject-specific image data, reducing computational complexity.
2Object-affected harmful factors
If imaging parameters are adjusted to minimize radiation exposure, then the harmful factors to the subject are reduced, but the image quality may deteriorate
Solution Approach 1:
The system estimates the effective dose using the adapted subject model and provides feedback to the operator about the radiation exposure level. This feedback loop allows adjustment of imaging parameters to achieve optimal balance between image quality and radiation dose, rather than using fixed parameters.
Solution Approach 2:
The system enables dynamic adjustment of imaging parameters (such as tube current, voltage, exposure time) based on the adapted subject model and estimated effective dose. Parameters are optimized for each subject's anatomy and imaging requirements, allowing lower radiation doses while maintaining adequate image quality through personalized parameter selection.
Data Source
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AI summary
The invention concerns a method for estimating an effective dose applied to a subject being exposed to ionizing radiation during medical imaging, the method comprising the steps of obtaining image data of the subject arranged for the medical imaging using an image device, adapting a predetermined subject model comprising model subject information to the subject to be exposed to ionizing radiation by a processing unit on the basis of the image data of the subject; estimating the effective dose on the basis of the adapted predetermined subject model and based on received radiation source information with respect to the ionizing radiation the subject should be exposed to, wherein the effective dose is estimated for the current subject prior to the medical image acquisition. The invention further concerns a device for estimating an effective dose and a system comprising such a device.