[Design and implementation of an automatic analysis system for magnetic resonance quality detection based on QT]

Area of Science:

• Medical Imaging
• Software Engineering
• Quality Assurance

Background:

• Manual quality inspection of MRI performance parameters is crucial for diagnostic accuracy but suffers from subjectivity and inefficiency.
• Existing methods for assessing MRI quality are time-consuming and prone to human error.

Purpose of the Study:

• To develop an automated system for magnetic resonance imaging (MRI) quality detection.
• To improve the efficiency and reliability of MRI performance parameter analysis.
• To provide a systematic approach to managing MRI quality inspection information.

Main Methods:

• Implementation of an automatic analysis system for MRI quality detection using C++ and the QT framework.
• Development of image processing algorithms for automatic measurement and calculation of quality inspection parameters.
• Design of comprehensive software for systematic management of MRI quality inspection data.

Main Results:

• Experimental results demonstrate consistency between automatically calculated and manually calculated MRI parameters.
• The developed system verifies the accuracy and reliability of the image processing algorithms.
• The automated system is efficient, convenient, and meets the practical requirements of MRI quality inspection.

Conclusions:

• The proposed automated system significantly enhances the efficiency and objectivity of MRI quality inspection.
• The system provides accurate and reliable analysis of MRI performance parameters, supporting dependable diagnostic results.
• The developed software offers a user-friendly and effective solution for managing MRI quality data.