MRI Acquisition Parameter Selection for Faster, Clearer Scans
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Solution Overview
Problem
Existing magnetic resonance imaging (MRI) protocols are inefficient and can negatively impact diagnostic quality or patient comfort, as they often require lengthy scanning times and may not optimize image contrast effectively.
Innovation Solution
A computer system optimizes MRI protocols by determining parameter sets and acquisition spaces based on quality metrics, using cost functions and differential equations to enhance image quality and efficiency, thereby improving the MRI process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional MRI protocols are used, then diagnostic quality can be maintained, but scanning time becomes excessively long
Solution Approach 1:
The patent applies parameter changes by systematically varying MRI acquisition parameters (such as echo time, repetition time, flip angle, and k-space sampling patterns) to find optimal settings that maintain diagnostic quality while reducing scan time. The computer system evaluates multiple parameter sets and selects those that achieve the best balance between image quality metrics and acquisition time.
Solution Approach 2:
The patent implements partial action by acquiring data from only the most informative k-space regions or using reduced sampling patterns that capture essential diagnostic information without fully sampling the entire k-space, thereby reducing scanning time while maintaining adequate diagnostic quality for clinical decision-making.
2Productivity
If scanning time is reduced, then patient throughput increases, but image contrast quality deteriorates
Solution Approach 1:
The patent uses parameter changes to optimize the relationship between scan time and image contrast by adjusting parameters such as echo time (TE) and repetition time (TR) to achieve desired contrast weighting (T1, T2, or diffusion-weighted) within shortened acquisition windows. The system evaluates contrast quality metrics for different parameter sets and selects optimal configurations.
Solution Approach 2:
The patent applies preliminary action by using preliminary scans or pre-acquired data to estimate tissue properties and optimize subsequent imaging parameters before the actual diagnostic scan, allowing for contrast optimization without extending the primary scanning time.
3Measurement precision
If comprehensive examinations are performed, then diagnostic thoroughness improves, but scanning time increases
Solution Approach 1:
The patent applies segmentation by dividing the comprehensive examination into multiple targeted sequences or modules, each optimized for specific diagnostic questions or anatomical regions. The computer system determines optimal parameter sets for each segment based on the overall diagnostic objectives, allowing thorough examination coverage while minimizing total scan time through efficient sequencing.
Solution Approach 2:
The patent implements universality by designing multi-purpose MRI sequences and parameter sets that can address multiple diagnostic questions within a single scan protocol, reducing the need for separate specialized sequences and thereby decreasing total scanning time while maintaining diagnostic thoroughness.
Data Source
AI summary
In an example, a computer system receives first data regarding a magnetic resonance imaging (MRI) protocol for obtaining image information regarding a subject, and determines a plurality of parameter sets for performing the MRI protocol. Each of the parameter sets includes an indication of one or more parameters associated with the MRI protocol, and for each of the one more parameters, an indication of a respective parameter value. The computer system determines, for each of the parameter sets, a respective first quality metric, and selects a particular one of the parameter sets based on the first quality metrics. The computer system provides instructions for performing the MRI protocol to a magnetic resonance (MR) scanner. The instructions include an indication of the selected parameter set.