Method for Providing at Least One Evaluation Characteristic Parameter of an Image Quality of at Least One Magnetic Resonance Image

Simple SummaryContent extracted from patent full text and abstract with AI.

This invention provides an automated method and system for assessing the image quality of one or more magnetic resonance (MR) images. It works by obtaining MR images, analyzing them using multiple independent quality metrics or modules (some potentially powered by machine learning), and calculating a combined assessment indicator that quantifies image quality. The assessment can be output in a user-friendly way (e.g., traffic light or score) during or immediately after the scan, supporting clinical staff with objective, real-time feedback.

Use CasesContent extracted from patent full text and abstract with AI.

• Real-time quality monitoring of MR images during patient scans in hospitals and clinics.
• Automated image quality control in radiology departments to reduce manual workload and errors.
• Quality assurance for teleradiology, where remote specialists interpret MR images.
• Supporting AI-based diagnostic systems with quality ratings to filter low-quality data sets.
• Training radiology staff by highlighting causes of poor image quality and immediate corrective actions.
• Integrating with clinical workflow systems for automated documentation of image quality metrics.

BenefitsContent extracted from patent full text and abstract with AI.

• Provides fast and objective image quality assessment, reducing reliance on manual review.
• Reduces the risk of subjective and operator-dependent errors in image quality evaluation.
• Enables immediate corrective actions when suboptimal image quality is detected, improving diagnostic reliability.
• Supports workflow efficiency by offering instant feedback instead of time-consuming post-scan evaluations.
• Facilitates consistent and reproducible quality standards across different MR scanners, operators, and sites.
• Allows customization and weighting of quality metrics according to user or institution preference.
• Can be implemented as software or integrated into existing MR imaging systems and cloud-based solutions.

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Patent Abstract

Techniques are described for providing at least one assessment indicator of an image quality of at least one magnetic resonance image, which comprises: providing at least one magnetic resonance image for assessing the image quality, wherein the providing is made to a quality unit; determining at least two different quality metrics of the at least one magnetic resonance image, wherein the quality unit comprises two or more quality modules, and each of the two or more quality modules is designed to determine one of the two or more different quality metrics, and providing the two or more quality metrics to an assessment unit; ascertaining the at least one assessment indicator by means of the assessment unit, wherein the at least one assessment indicator is ascertained from the two or more different quality metrics; and providing the at least one assessment indicator.