Field-based spatial self-registration for magnetic resonance imaging (MRI)
This technology is an algorithm that detects and corrects hardware misplacements by finding the current location of the multi-coil inserts in magnetic resonance imaging (MRI) without additional hardware.
Unmet Need: Accurate repositioning of multi-coil systems for improved image quality
Achieving optimal image quality in magnetic resonance imaging (MRI) depends on the precise control of the B0 magnetic field. The multi-coil hardware used to improve this field and image quality are limited by its precise placement within the MRI. Locating these misplacements requires additional external hardware like field probes or markers.
The Technology: An algorithm to improve image quality and MRI performance
This technology introduces an algorithm that recognizes the position of the multi-coil hardware within the systems and calibrates it to compensate for any misalignment. This is done by comparing expected and measured magnetic field patterns without the need for external calibration hardware. The field-based spatial self-registration method allows for real-time adjustments to the multi-coil system’s position, ensuring optimal B0 field control, high shim performance, and improved image quality.
This technology has been validated with simulation data and preliminary scanner data.
Applications:
- Magnetic resonance imaging (MRI) localization system for field-generating insert
- Optimized MRI image quality
- Research system for dynamic shimming
- Tool for automated calibration of MRI system
Advantages:
- Corrects hardware misplacements with high precision
- Does not require external calibration hardware
- Improves the accuracy and efficiency of B0 field control
- Optimizes image quality
- Enhances MRI performance
Lead Inventor:
Patent Information:
Patent Pending (US20240345191)
Related Publications:
Tech Ventures Reference:
IR CU24253
Licensing Contact: Joan Martinez