MRI B1 Projection Calibration for Fast Intensity Correction
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Solution Overview
Problem
Existing MRI techniques for correcting B1 field non-uniformity are time-consuming and may not be compatible with all MRI systems or coil configurations, leading to inaccurate image intensity and contrast, which can result in incorrect diagnoses and increased healthcare costs.
Innovation Solution
A method for acquiring spatially encoded B1 projection data using MRI systems, determining transmit and receive maps, and correcting image intensity using these maps, which can be done efficiently with reduced scan times by referencing pre-calculated maps or machine-learning techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional B1 field mapping techniques are used to correct intensity variations, then image intensity accuracy is improved, but scan time is significantly increased (up to 1 minute)
Solution Approach 1:
The patent pre-calculates and stores a database of B1 field maps for various anatomies and coil configurations before actual imaging. During scanning, the system quickly retrieves and applies the appropriate pre-computed map rather than calculating it in real-time, thus achieving accurate intensity correction without extending scan time
Solution Approach 2:
The patent divides the B1 field mapping problem into separate components: anatomy-specific maps, coil configuration-specific maps, and patient-specific customization. By segmenting the problem and pre-computing universal components, the system eliminates time-consuming calculations during actual scanning while maintaining measurement precision
2Measurement precision
If B1 field mapping is performed for all MRI systems and coil configurations, then correction accuracy is improved, but system compatibility and adaptability are reduced
Solution Approach 1:
The patent uses parameter-based adaptation where the system adjusts pre-computed B1 maps by modifying key parameters such as patient anatomy type, coil configuration, and imaging sequence settings. This allows the same core maps to be adapted across different MRI systems and coil configurations without requiring separate maps for each system
Solution Approach 2:
The patent creates universal B1 field maps that can serve multiple MRI systems and coil configurations through parameter adjustment and scaling. The core correction methodology and pre-computed maps are designed to be system-agnostic, enhancing both adaptability and correction accuracy simultaneously
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 accurate and efficient correction of image intensity variations, improving MRI image quality and reducing scan times, thereby enhancing diagnostic accuracy and patient comfort.
Implementation Method 1
a static magnetic field (B0) is first applied by an MRI scanner to align the nuclear spins of atoms
Implementation Method 2
an RF transmitter generates RF pulses by causing perturbations to the local magnetic fields
Implementation Method 3
Resulting RF signals emitted by the nuclear spins are detected by an RF receiver to form an image
Implementation Method 4
B1 field mapping is a well-established method for characterizing the B1 field and can involve acquiring a set of images and using them to calculate the B1 map
Data Source
AI summary
A method for determining an intensity-corrected magnetic resonance image includes acquiring B1 projection data of a patient using a magnetic resonance imaging system. The method also includes determining a transmit map using only the acquired B1 projection data. The method further includes acquiring an image of a patient using magnetic resonance imaging system and correcting an image intensity of the acquired image using the determined set of maps. The method also includes outputting the corrected image of the patient.