Medical Image Acquisition Parameters Using Anatomical AI Feedback
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Solution Overview
Problem
Existing medical imaging systems require manual adjustment of parameters based on the subject's outer physiognomy, leading to suboptimal image acquisition and potential overexposure in multiple views.
Innovation Solution
A method that adjusts medical image acquisition parameters based on anatomical structures identified in previous images using artificial intelligence, optimizing parameters for subsequent views to reduce subject dose and improve image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual parameter adjustment based on outer physiognomy is used, then operator control is maintained, but parameter accuracy and image quality deteriorate
Solution Approach 1:
The system automatically determines acquisition parameters by itself using anatomical information from images, eliminating the need for manual operator estimation. The processing apparatus extracts anatomical structures and calculates optimal parameters autonomously, improving accuracy while reducing reliance on operator skill.
Solution Approach 2:
The manual mechanical adjustment process is replaced with an automated computational system. Instead of operators physically adjusting parameters based on visual estimation, a processing apparatus uses image analysis and algorithms to determine parameters automatically, substituting human judgment with computational precision.
2Object-affected harmful factors
If multiple views are acquired with fixed parameters, then acquisition speed is maintained, but subject dose increases
Solution Approach 1:
The acquisition parameters are made dynamic rather than fixed, allowing automatic adjustment for each view based on the subject's anatomical position and characteristics. The system adapts parameters like exposure and collimation for each specific view, reducing unnecessary radiation while maintaining image quality and acquisition efficiency.
Solution Approach 2:
Different acquisition parameters are applied to different views based on local anatomical requirements. Each view receives optimized parameters tailored to the specific anatomical structures visible in that view, rather than using uniform parameters for all views, thereby minimizing overall dose while maintaining productivity.
3Manufacturing precision
If parameters are adjusted for each view, then image quality improves, but adjustment time increases
Solution Approach 1:
The system performs preliminary automatic parameter determination using anatomical information extracted from images before acquisition. By pre-calculating optimal parameters based on anatomical analysis, the system eliminates time-consuming manual adjustments while ensuring optimized parameters are ready for each view, improving both precision and speed.
Solution Approach 2:
The system uses feedback from anatomical analysis of acquired images to automatically adjust parameters for subsequent views. The processing apparatus continuously analyzes anatomical structures in real-time and adjusts parameters accordingly, creating a closed-loop system that optimizes parameters without manual intervention, reducing adjustment time while maintaining precision.
Data Source
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AI summary
The invention concerns a method determining medical image acquisition parameter, comprising the steps of performing a first medical image acquisition from a first view of a subject using first acquisition parameter; receiving at least one first image from the first medical image acquisition; determine at least one anatomical structure in the first image; selecting a second medical image acquisition from a second view of the subject using second acquisition parameter; adjusting the second acquisition parameter for the second medical image acquisition in the second view of the subject based on the anatomical structure in the first image. The invention further concerns a processing apparatus configured to perform the method steps and a medical imaging system comprising the processing apparatus.