MRI Scan Parameter Optimization via Subregion Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Magnetic resonance (MR) imaging techniques face limitations in scan sequence efficiency due to restricted selection of scan parameters, leading to compromises in scan time and image quality, particularly in achieving optimal signal-to-noise ratio (SNR) and contrast.
Innovation Solution
A method and system for determining scan parameters for different subregions of an examination region, allowing flexible selection of scan parameters to adhere to pre-set threshold values, optimizing image quality and scan time by locally adjusting parameters in less critical areas to maintain global technical and physiological limitations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If scan parameters are restricted to adhere to technical and physiological limitations, then safety and feasibility are improved, but scan efficiency and image quality deteriorate
Solution Approach 1:
The examination region is divided into multiple subregions, and scan parameters are determined independently for each subregion. This segmentation allows the system to optimize parameters locally while ensuring global adherence to technical and physiological limitations, thereby improving scan efficiency without compromising safety
Solution Approach 2:
Different scan parameters are applied to different subregions based on their specific requirements. Critical subregions receive parameters optimized for high image quality, while non-critical subregions use parameters that prioritize scan efficiency, all within the bounds of technical and physiological limitations
2Reliability
If scan parameters are restricted to adhere to technical and physiological limitations, then safety and feasibility are improved, but image quality deteriorates
Solution Approach 1:
By segmenting the examination region into subregions, the system can apply different parameter strategies to different areas. Critical subregions maintain high image quality parameters within safety limits, while non-critical subregions use more relaxed parameters, achieving overall image quality improvement without violating technical or physiological constraints
Solution Approach 2:
The system tailors scan parameters to the specific needs of each subregion, applying higher quality parameters where diagnostically important and accepting lower quality where less critical, thereby maximizing overall image quality while adhering to safety limitations
3Reliability
If scan parameters are restricted to adhere to technical and physiological limitations, then safety and feasibility are improved, but scan time increases
Solution Approach 1:
The scan sequence is divided into multiple parallel subsequences, each handling a specific subregion. This allows simultaneous acquisition of data from multiple subregions, significantly reducing total scan time while ensuring each subsequence adheres to technical and physiological limitations
Solution Approach 2:
The system dynamically adjusts scan parameters and sequence timing based on the specific characteristics of each subregion and the current scan state, optimizing the balance between safety compliance and scan time efficiency
Data Source
AI summary
A magnetic resonance image is generated by executing a scan sequence that is determined by at least one scan parameter. A first value of the at least one scan parameter is determined for a first subregion of an examination region, and a second value of the at least one scan parameter is determined for a second subregion of the examination region. The determination of the first value and the determination of the second value is implemented so that a value of a physical variable influenced by the first value and the second value of the at least one scan parameter does not transgress a pre-set threshold value. Subsequently, the scan sequence is executed by a magnetic resonance scanner and a magnetic resonance image is generated. The threshold value can be based, for example, on technical efficiency of the scanner and/or a physiological limitation of an examination object.


