MRI Charge Balance Modeling for RF Power Optimization
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Solution Overview
Problem
Current MRI scanners often have RF power amplifiers and components oversized for rare but energy-demanding pulse sequence blocks, leading to underutilization and insufficient energy capacity for some patients, resulting in suboptimal image quality and the need for expensive components.
Innovation Solution
Implementing a charge balance assessment and redistribution system that adjusts flip angles and implicit time delays to ensure the RF power amplifier does not run out of energy, allowing each charge block to receive sufficient energy for suitable image quality, and reducing flip angles if necessary to conserve charge.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If RF power amplifier is sized for the most charge-intensive foreseen imaging applications, then sufficient energy capacity is available for all patients, but the total energy capacity is usually underutilized and expensive components are required
Solution Approach 1:
The system dynamically adjusts the charge allocation to pulse sequence blocks based on real-time assessment of charge availability and patient-specific requirements. The flip angles and time delays are modified adaptively to ensure charge balance, allowing the RF power amplifier to operate efficiently without requiring excessive overcapacity for rare edge cases.
Solution Approach 2:
The system changes key parameters such as flip angles and implicit time delays of pulse sequence blocks to optimize charge consumption. By adjusting these parameters, the system ensures that the total charge consumption matches the available charge capacity, eliminating the need for oversized RF components while maintaining image quality for all patients.
2Reliability
If RF power amplifier is sized for rare energy-demanding applications, then sufficient energy is available for those cases, but image quality is suboptimal for most patients due to underutilization
Solution Approach 1:
The system modifies pulse sequence parameters including flip angles and time delays to optimize charge distribution. This ensures that sufficient charge is allocated to each pulse sequence block to maintain optimal image quality, while the total consumption remains within the available charge capacity of the RF power amplifier.
Solution Approach 2:
The system implements charge balance assessment that monitors charge consumption and availability in real-time. Based on this feedback, it adjusts the parameters of pulse sequence blocks to ensure optimal image quality is maintained across all patients, regardless of their specific imaging requirements.
3Use of energy by moving object
If flip angles are reduced to conserve charge, then charge balance is maintained, but image quality may be compromised
Solution Approach 1:
The system strategically adjusts flip angles and implicit time delays based on the specific charge requirements of each pulse sequence block. By making targeted parameter modifications rather than uniform reductions, the system maintains charge balance while preserving image quality where possible.
Solution Approach 2:
The system applies different parameter adjustments to different pulse sequence blocks based on their individual charge consumption patterns and importance to image quality. This localized optimization ensures that charge-constrained blocks receive appropriate parameter modifications while less sensitive blocks maintain their original parameters for optimal image quality.
Data Source
AI summary
An imaging system comprises determination of a charge block for each building block of an MRI pulse sequence and for each readout event of the MRI pulse sequence, determination, for each charge block, of a charge per request associated with the charge block, determination, for each charge block, of an associated charge reduction based on a charge per request associated with the charge block and on a charge available to the charge block after execution of a previous charge block of the MRI pulse sequence, determination, for each charge block associated with a non-zero charge reduction, of a flip angle of a corresponding building block of the MRI pulse sequence based on a charge per request and a charge reduction associated with the charge block, and control of a radio frequency system to deliver the MRI pulse sequence based on the determined flip angles of each building block of the MRI pulse sequence corresponding to a charge block associated with a non-zero charge reduction.