Automatic quantitative assessment method of medical image quality based on clinical application objectives
By applying object detection segmentation, noise reduction processing and image segmentation technologies in medical image quality evaluation, we automatically calculate the pixel value statistical quantization information and noise variation coefficient, and combine the signal-to-noise ratio for quality evaluation, solving the problems of low efficiency of manual evaluation and standard differences in the existing technology, realizing the automation and standardized evaluation of medical image quality, and improving diagnostic accuracy and processing efficiency.
Patent Information
- Application Number
- CN202310405701.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-04-14
- Publication Date
- 2025-04-01
- Estimated Expiration
- 2043-04-14
AI Technical Summary
The prior art relies on manual evaluation in medical image quality assessment, with problems of standard differences and evaluation volatility, which are inefficient and cost-effective.
Using the automatic quantitative evaluation method of medical image quality based on clinical application goals, through object detection segmentation, noise reduction processing, and image segmentation technology, medical images are automatically evaluated, and pixel value statistics quantization information and noise variation coefficient are calculated, and quality evaluation is performed in combination with signal-to-noise ratio.
It realizes automated and standardized evaluation of medical image quality, improves the accuracy of differentiation and diagnosis of benign and malignant lesions, and enhances the efficiency of medical image processing.