MRI Sub-Volume Parameter Optimization
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Solution Overview
Problem
Magnetic resonance imaging techniques face a trade-off between reducing measurement time and achieving high-quality data, as simultaneous multislice techniques compromise image quality due to global adjustments in measurement parameters across multiple sub-volumes.
Innovation Solution
A method that dynamically adjusts measurement parameters, such as center frequency and RF pulse waveforms, for each sub-volume during the acquisition process, allowing for local optimization of each sub-volume to improve data quality while reducing measurement time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If simultaneous multislice techniques are used to reduce measurement time, then productivity is improved, but manufacturing precision deteriorates due to global adjustments in measurement parameters across multiple sub-volumes
Solution Approach 1:
The patent divides the measurement process into separate sub-sequences, each dedicated to a specific sub-volume. This segmentation allows independent optimization of measurement parameters for each sub-volume while maintaining simultaneous acquisition, thereby resolving the contradiction between speed and quality
Solution Approach 2:
The patent implements local optimization by determining and applying specific measurement parameters (such as center frequency and RF pulse waveforms) tailored to each individual sub-volume. This local quality approach ensures high image quality for each sub-volume while maintaining overall productivity through simultaneous manipulation
2Device complexity
If global adjustments in measurement parameters are applied across multiple sub-volumes, then device complexity is reduced, but measurement precision deteriorates due to inability to optimize each sub-volume independently
Solution Approach 1:
The patent introduces dynamic parameter adjustment where measurement parameters are determined separately for each sub-volume based on their specific characteristics. This dynamic approach allows the system to adapt parameters locally while maintaining a relatively simple overall control structure through automated determination processes
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 enables high-quality measurement data acquisition in a shorter time by optimizing each sub-volume's parameters independently, enhancing image quality and reducing noise and field variations.
Implementation Method 1
In order to induce nuclear spin resonances, the subject under examination is exposed to pulses of radio frequency radiation (RF pulses)
Implementation Method 2
placing the subject under examination in a magnetic resonance scanner in a strong, static, homogeneous main magnetic field, also called the B0 field
Implementation Method 3
Rapidly switched magnetic gradient fields are superimposed on the basic magnetic field for spatial encoding of the measurement data
Data Source
AI summary
In a magnetic resonance method and apparatus, a control computer for a data acquisition scanner automatically determines sequence control data, for a control protocol that has been loaded into the control computer, that define different functional sub-sequences of data acquisition sequence, the sub-sequences causing nuclear spins in at least two sub-volumes of a subject to be simultaneously manipulated or used in order to acquire magnetic resonance data. For each sub-sequence, the computer determines a respective effective volume dependent on the respectively associated sub-volumes, and determines applicable underlying conditions from which control signals are generated that locally optimize the sub-sequences for each effective volume.