Acquisition Protocol Assessment Apparatus for CT Dose and Noise Optimization
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Solution Overview
Problem
Current CT scanners face challenges in optimizing acquisition protocol parameters to balance radiation dose and image noise, often failing to consider system limitations and specific imaging procedures, leading to suboptimal image quality and radiation exposure.
Innovation Solution
An acquisition protocol assessment apparatus that estimates radiation dose and image noise using anatomical models and algorithms, allowing for the determination of optimized acquisition protocol parameter values based on predefined criteria, such as noise and dose thresholds, while considering system capabilities and imaging objectives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If radiation dose is reduced by decreasing tube current and tube voltage, then radiation exposure is reduced, but image noise increases and image quality deteriorates
Solution Approach 1:
The system automatically adjusts acquisition protocol parameters (tube current, tube voltage, pitch, slice thickness) based on patient size and imaging objectives to optimize the balance between radiation dose and image quality. Different parameter sets are selected for different patient categories and scan types to achieve optimal dose-quality tradeoff.
Solution Approach 2:
The system incorporates feedback mechanisms where image quality metrics and dose information are continuously monitored and used to refine future acquisitions. The assessment apparatus provides feedback on protocol performance allowing for iterative optimization of dose and quality parameters.
2Object-affected harmful factors
If automatic algorithm determines optimized acquisition protocol parameters, then radiation dose is reduced, but system limitations and imaging procedure requirements are not considered
Solution Approach 1:
The system dynamically adapts acquisition protocol parameters based on real-time assessment of patient anatomy, imaging objectives, and system capabilities. The assessment apparatus evaluates specific imaging procedures and adjusts parameters accordingly, making the system flexible rather than rigid in its parameter selection.
Solution Approach 2:
The assessment apparatus acts as an intermediary between the automatic algorithm and the final protocol selection. It mediates by evaluating system limitations, imaging procedure requirements, and patient characteristics to determine which algorithm-generated parameters are appropriate for each specific situation.
3Ease of operation
If radiologist uses familiar acquisition protocol parameter values, then operation is simplified, but optimized dose and noise balance may not be achieved
Solution Approach 1:
The system performs self-service by automatically assessing patient characteristics and imaging objectives to determine optimal acquisition parameters without requiring radiologist intervention. The assessment apparatus independently evaluates and selects protocol parameters, freeing the radiologist from manual parameter selection while maintaining optimization.
Solution Approach 2:
The system creates virtual copies of optimal protocol parameters based on algorithmic assessment of patient and imaging characteristics. These virtual protocol templates are then applied to actual acquisitions, allowing the system to replicate optimized parameters consistently across different scans without radiologist involvement.
Data Source
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AI summary
A method includes generating, via a dose estimator, a dose map indicative of an estimated dose deposited in a subject based on acquisition protocol parameter values of an acquisition protocol of an imaging system, and generating, via a noise estimator, at least one of a noise map indicative of an estimated image noise based on the acquisition protocol parameter values or a contrast-to-noise map based on the noise map and an attenuation map. The method further includes displaying, via a display, the dose and noise maps in a human readable format.