MRI Protocol Adjustment for Patient-Specific Image Quality
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Solution Overview
Problem
Current MRI protocols do not adequately account for patient size, leading to variations in scan time and image quality metrics, which can result in suboptimal image quality and inefficient scanning processes.
Innovation Solution
A computer-implemented method and system that automatically adjusts MRI scan protocols based on patient-specific anatomical landmarks and size, using higher resolution images to determine the geometry plan and coverage of the scan, while maintaining site-specific image quality standards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If standard MRI protocols are used without patient-specific adjustments, then image quality metrics related to site protocols are maintained, but scan time varies based on patient size and image quality may be suboptimal
Solution Approach 1:
The system automatically adjusts MRI scan parameters (such as field of view, matrix size, and scan resolution) based on detected patient anatomy and size characteristics. This dynamic parameter adjustment optimizes image quality for each patient while adapting scan time requirements, resolving the contradiction between maintaining protocol image quality standards and accommodating patient size variations.
Solution Approach 2:
The MRI system performs automatic anatomy detection and protocol adjustment without requiring manual intervention from technologists. The system autonomously analyzes patient anatomy, determines optimal scan parameters, and configures the protocol, thereby maintaining image quality while reducing scan time variability and eliminating the need for technologist expertise in parameter optimization.
2Productivity
If MRI protocols are customized for each patient size, then scan time can be optimized, but image quality metrics may deviate from site protocol standards
Solution Approach 1:
The system incorporates feedback mechanisms that continuously monitor both scan efficiency metrics and image quality parameters. Based on this feedback, the system automatically refines parameter adjustments to ensure that optimized scan protocols still produce images meeting site quality standards, thus resolving the contradiction between scan efficiency and image quality metrics.
Solution Approach 2:
The MRI protocol becomes dynamic rather than static, automatically adapting to patient-specific characteristics while maintaining quality standards. The system adjusts parameters in real-time based on detected anatomy, creating a flexible protocol that optimizes scan efficiency without compromising image quality metrics through controlled parameter variations.
3Manufacturing precision
If manual protocol adjustment by MR technologist is used, then image quality can be optimized, but the process requires high expertise and increases operational complexity
Solution Approach 1:
The MRI system performs automatic anatomy detection, parameter optimization, and protocol configuration without human intervention. This self-service capability eliminates the need for technologist expertise in manual protocol adjustment while maintaining or improving image quality, thereby reducing operational complexity without sacrificing optimization quality.
Solution Approach 2:
The system replaces the manual mechanical process of technologist parameter adjustment with an automated computational system. Advanced algorithms and image processing replace human expertise, automatically determining optimal scan parameters based on patient anatomy, thus eliminating operational complexity while maintaining image quality optimization.
4Measurement precision
If higher resolution images are used to determine geometry plan, then patient-specific accuracy is improved, but scan time and data processing requirements increase
Solution Approach 1:
The system uses a strategic approach where higher resolution imaging is applied only to critical anatomical regions that require precise measurement, rather than uniformly across the entire scan volume. This partial application of high-resolution imaging achieves necessary measurement precision for anatomy detection while limiting the increase in scan time and data processing requirements to only what is essential for accurate geometry planning.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach ensures consistent and optimal image quality across different patient sizes, reduces scan time, and minimizes the reliance on MR technologist expertise, while allowing site-specific configuration of parameter adjustments.
Implementation Method 1
The resulting set of received nuclear magnetic resonance (NMR) signals are digitized and processed to reconstruct the image
Data Source
AI summary
A method includes receiving a selection of a scan protocol for the scan of a subject and obtaining localizer images including an anatomic landmark of interest of the subject acquired with the MRI system. The method includes automatically detecting the anatomic landmark of interest in localizer images and determining a geometry plan of the scan including extents of the anatomic landmark of interest. The method includes automatically determining a coverage of the scan to include the anatomic landmark of interest and to match the extents of the anatomic landmark of interest. The method includes obtaining limits on adjustments scan time and one or more image quality parameters for the scan protocol. The method includes generating an updated scan protocol by automatically adjusting one or more parameters of the scan protocol based on the scan protocol, the limits on adjustments, and the coverage of the scan.