Dynamic MRI Acquisition Parameter Adjustment
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Solution Overview
Problem
Conventional Magnetic Resonance Imaging (MRI) techniques face challenges in setting optimal voxel size and number of integrations, leading to inefficient examination times due to non-uniform RF coil sensitivity and object susceptibility, often resulting in failed examinations or prolonged procedures.
Innovation Solution
A magnetic resonance imaging apparatus and method that dynamically adjust the number of integrations and phase encodes based on factors influencing the frequency spectrum, such as RF coil sensitivity and magnetic field uniformity, to optimize spectrum acquisition conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the number of integrations is increased to improve the signal-to-noise ratio, then the measurement precision is improved, but the examination time is prolonged
Solution Approach 1:
The patent implements dynamic adjustment of the number of integrations based on real-time evaluation of frequency spectrum quality. The system continuously monitors the signal-to-noise ratio and automatically modifies the integration count during the examination, transitioning from a static predetermined value to a dynamic adaptive parameter that optimizes both measurement precision and examination time
Solution Approach 2:
The patent employs feedback mechanisms where the acquired frequency spectrum data is evaluated in real-time to determine whether the signal-to-noise ratio meets predefined criteria. Based on this feedback, the system automatically adjusts the number of integrations, creating a closed-loop control system that resolves the contradiction between measurement precision and examination time
2Measurement precision
If the voxel size is increased to improve the signal intensity, then the measurement precision is improved, but the spatial resolution is degraded
Solution Approach 1:
The patent dynamically adjusts the voxel size based on real-time evaluation of the frequency spectrum quality and signal characteristics. The system transitions from fixed voxel dimensions to adaptive voxel sizing that optimizes signal intensity while maintaining acceptable spatial resolution through continuous monitoring and adjustment
Solution Approach 2:
The patent applies different voxel sizes to different regions of interest within the examination volume. By evaluating signal characteristics locally and adjusting voxel dimensions accordingly, the system optimizes signal intensity in specific regions while preserving spatial resolution in other areas, rather than using a uniform voxel size throughout
3Measurement precision
If the number of phase encodes is increased to improve the spectral resolution, then the measurement precision is improved, but the examination time is prolonged
Solution Approach 1:
The patent implements dynamic adjustment of the number of phase encodes based on real-time evaluation of spectral quality. The system monitors spectral resolution requirements and automatically modifies the phase encode count during examination, transitioning from static to dynamic parameter setting that optimizes both spectral resolution and examination time
Solution Approach 2:
The patent employs feedback mechanisms where the acquired spectral data is evaluated to determine whether the spectral resolution meets diagnostic criteria. Based on this feedback, the system automatically adjusts the number of phase encodes, creating a closed-loop control system that resolves the contradiction between spectral resolution and examination time
4Device complexity
If the examination is performed with fixed acquisition parameters, then the device complexity is reduced, but the reliability is degraded due to body motion or non-uniform sensitivity
Solution Approach 1:
The patent enables the MRI system to automatically evaluate acquisition quality and adjust parameters without operator intervention. The system self-monitors signal characteristics, detects body motion or sensitivity non-uniformity, and autonomously modifies acquisition parameters to maintain examination reliability, reducing dependence on operator expertise
Solution Approach 2:
The patent implements feedback mechanisms where acquisition data is continuously evaluated against quality criteria. When deviations are detected (such as body motion or non-uniform sensitivity effects), the system automatically adjusts parameters to compensate, creating a self-correcting system that maintains reliability without increasing operational complexity
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 allows for efficient acquisition of frequency spectra with improved signal-to-noise ratio, reducing unnecessary examination time and minimizing the impact of RF coil sensitivity and object susceptibility variations.
Implementation Method 1
excites nuclear spins of an object set in a static magnetic field with an RF signal having the Larmor frequency magnetically
Implementation Method 2
applying radio frequency pulses and gradient magnetic field pulses to the object in a static magnetic field
Implementation Method 3
reconstructs an image based on NMR (nuclear magnetic resonance) signals generated due to the excitation
Implementation Method 4
generates RF coil sensitivity distribution data indicating a sensitivity distribution of the RF coil in the imaging region
Data Source
AI summary
A magnetic resonance imaging apparatus includes a spectrum acquisition unit and a determining unit. The spectrum acquisition unit acquires a frequency spectrum of magnetic resonance signals from a metabolic product in a target region in an object. The determining unit determines the number of (a) integrations and/or (b) phase encodes of magnetic resonance signals for obtaining the frequency spectrum depending on a factor influencing the frequency spectrum.