CT Scout Image Parameter Automation via Shape Analysis
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Solution Overview
Problem
Manual adjustment of scanning parameters in medical CT scans for diagnosing lumbar discs is prone to variability in accuracy and efficiency, leading to longer operation times and reduced precision, especially for inexperienced operators.
Innovation Solution
A medical scanning system and method that automatically determines scanning parameters based on a scout image using a scanned object description module, adjustment module, principal component analysis module, and scanning parameter setting module, which aligns control points, extracts principal components, and sets parameters based on a desired shape to optimize scanning parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual adjustment of scanning parameters is performed, then the operator can control scanning position, angle, and range, but the accuracy varies by operator and time consumption increases
Solution Approach 1:
The system performs self-service by automatically determining scanning parameters through the determination unit, which analyzes the scout image to automatically set scanning position, angle, and range without requiring manual operator intervention, thereby eliminating variability and time consumption associated with manual adjustment
Solution Approach 2:
The patent replaces the mechanical manual adjustment process with an automated computational system. The determination unit uses image processing algorithms to substitute the manual mechanical adjustment of scanning parameters, transforming a manual operation into an automated computational process that determines parameters based on scout image analysis
2Adaptability or versatility
If manual adjustment of scanning parameters is performed, then the operator can customize parameters for each lumbar disc, but the operation becomes troublesome and time-consuming
Solution Approach 1:
The determination unit performs self-service by automatically analyzing the scout image and customizing scanning parameters for each lumbar disc without requiring operator intervention. The system independently completes parameter customization, eliminating the troublesome manual operation while maintaining adaptability to different anatomical structures
3Productivity
If automated determination of scanning parameters is implemented, then time consumption is reduced and precision is improved, but system complexity increases
Solution Approach 1:
The determination unit serves as an intermediary between the scout image acquisition and the scanning execution. It processes the scout image to extract anatomical features and automatically determines optimal scanning parameters, acting as a mediator that bridges image data and scanning control without requiring complex direct integration between all system components
Data Source
AI summary
A medical scanning system and method for determining scanning parameters based on a scout image, the system includes: a scanned object description module for describing the shape of a scanned object on an initial image; an adjustment module for aligning the shape of the scanned object with the pre-stored average shape; a principal component analysis module for extracting the principal component for the aligned shape of the scanned object; a desired shape acquisition module for imparting weight parameters to said principal component, acquiring a plurality of new shapes, and from said plurality of new shapes, determining the new shape with the maximum cost function value as the desired shape and a scanning parameter setting module for setting scanning parameters based on the desired shape.