MRI Scan Range Adaptation for Patient Height Variations
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Solution Overview
Problem
Current MRI scanning protocols struggle to accurately adjust scanning positions and ranges for patients of varying heights, leading to inadequate or excessive scan ranges, requiring manual adjustments and lengthening the scanning process.
Innovation Solution
An MR scanning method and device that detects individual characteristic points and sites of interest on the patient using a camera and a characteristic point and site detection model, calculating and adjusting the scan start position and total scan range based on the patient's dimensions to optimize scanning parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a default scanning protocol based on average height is used, then the scanning process is simple and quick to set up, but the scan range is inaccurate for patients of non-average heights, requiring manual adjustment
Solution Approach 1:
The system automatically detects patient height and calculates optimal scanning parameters without requiring operator intervention. The height detection module captures images, identifies characteristic points, and computes scan ranges autonomously, allowing the system to serve itself in the parameter setup process.
Solution Approach 2:
The patent replaces the manual mechanical adjustment process with an automated computational system. Instead of operators physically adjusting scan parameters based on visual estimation or manual measurement, the system uses image processing algorithms and coordinate transformations to automatically determine optimal scanning parameters.
2Measurement precision
If manual adjustment of scanning parameters is performed for each patient, then scan range accuracy is improved, but the scanning process time increases
Solution Approach 1:
The system performs height detection and parameter calculation as preliminary actions before the actual MRI scanning begins. By completing the parameter optimization process in advance during the positioning image acquisition phase, the system eliminates the need for time-consuming manual adjustments during the main scanning process.
Solution Approach 2:
The patent replaces time-consuming manual adjustment operations with automated computational processes. The system rapidly processes positioning images, detects characteristic points, and calculates optimal parameters using computer algorithms, which are significantly faster than manual measurement and adjustment procedures.
3Device complexity
If a fixed scan range is used for all patients, then the scanning protocol is simple to implement, but the scanning accuracy deteriorates for patients outside the average height range
Solution Approach 1:
The patent transforms the static fixed scan range into a dynamic parameter that automatically adapts to each patient's height. The system calculates and adjusts the scan range based on detected patient dimensions, allowing the scanning parameters to dynamically change according to patient-specific characteristics while maintaining protocol simplicity.
Solution Approach 2:
The system automatically modifies scanning parameters including scan range, number of stations, and positioning based on detected patient height. By changing these parameters dynamically according to patient measurements, the system maintains high scanning accuracy across different patient sizes without requiring complex manual intervention.
Data Source
AI summary
A magnetic resonance scanning method including: detecting the positions of individual characteristic points of interest and the positions and sizes of individual sites of interest of a target human body in the current MR scan; calculating a scan start position and a total scan range of the current MR scan according to the detected positions of the individual characteristic points of interest and the positions and sizes of the individual sites of interest of the target human body; and performing the current MR scan according to the calculated scan start position and total scan range of the MR scan. In an aspect, the scanning method is fully automatic.