Slice Multiplexing Parameter Optimization for MRI

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Solution Overview

Problem

Current slice multiplexing methods in magnetic resonance technology face challenges in optimizing parameters for simultaneous multi-slice imaging, leading to suboptimal quality and longer acquisition times due to limitations in geometry factors and slice separation techniques.

Innovation Solution

A method that iteratively selects and tests different parameter sets for slice multiplexing, including field of view shift factors, slice spacing, and slice-separation kernel sizes, to determine an optimum set for improved quality and reduced acquisition time by using a computer to analyze reference data sets and determine the best parameter combinations for simultaneous slice imaging.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of time

If slice multiplexing methods are used to simultaneously capture MR data from multiple slices, then measurement time is reduced, but image quality deteriorates due to suboptimal parameter selection

Engineering Contradiction:
Improvemeasurement timeVSAvoidimage quality
Core Design Contradiction:
Loss of timeVSManufacturing precision

Solution Approach 1:

The invention systematically varies key parameters including field of view shift factors, slice spacing, and slice-separation kernel sizes to identify optimal combinations. This parametric optimization enables simultaneous multi-slice imaging while maintaining image quality by finding the best parameter set for specific imaging conditions.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The invention employs iterative optimization where parameter sets are tested and evaluated, with results feeding back into subsequent parameter selection. This feedback mechanism allows continuous refinement of parameter choices to achieve optimal balance between measurement speed and image quality.

Inventive Principle:
Principle #23Feedback

2Productivity

If conventional slice multiplexing parameters are used, then acquisition is simpler, but acquisition time increases due to non-optimized settings

Engineering Contradiction:
Improveacquisition speedVSAvoidacquisition time
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The invention performs preliminary optimization of parameter sets before actual image acquisition. By pre-determining optimal field of view shift factors, slice spacing, and kernel sizes based on reference data, the system eliminates the need for time-consuming trial acquisitions, thereby reducing total acquisition time while maintaining high productivity.

Inventive Principle:
Principle #10Preliminary action

3Measurement precision

If field of view shift factors are increased to separate slice information, then slice separation improves, but measurement data quality deteriorates due to geometry factor limitations

Engineering Contradiction:
Improveslice separationVSAvoidmeasurement data quality
Core Design Contradiction:
Measurement precisionVSManufacturing precision

Solution Approach 1:

The invention optimizes field of view shift factors by testing multiple values and selecting those that achieve adequate slice separation while minimizing geometry factor penalties. This balanced parameter selection resolves the contradiction between separation quality and measurement data quality.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The invention applies different field of view shift factors and slice spacing parameters to different slice groups based on their specific imaging requirements. This localized parameter optimization allows each slice or slice group to have parameters tuned for its specific needs, achieving both good separation and high data quality.

Inventive Principle:
Principle #3Local quality

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 the identification of an optimum parameter set that enhances the quality of MR measurement data and reduces acquisition time, achieving faster and higher-quality image reconstruction in magnetic resonance imaging.

Implementation Method 1

nuclear spins thereof are oriented in the direction of the constant magnetic field. In order to trigger nuclear spin resonance, radio-frequency excitation pulses (RF pulses) are radiated into the examination subject

Methodology Applied
Scientific EffectNuclear spin resonance: Resonance

Implementation Method 2

the object under examination is positioned in a magnetic resonance scanner, in a strong, static, homogeneous constant magnetic field, also called the B0 field

Methodology Applied
Scientific EffectMagnetic field: Magnetic Field

Implementation Method 3

For spatially encoding the measurement data, rapidly activated magnetic gradient fields are overlaid on the constant magnetic field

Methodology Applied
Scientific EffectMagnetic gradient fields: Magnetic Field

Data Source

PatentUS10520569B2Method and magnetic resonance apparatus for optimized slice multiplexing
Publication Date: 2019.12.31 SIEMENS HEALTHINEERS AG
  • US10520569B2 patent drawing
  • US10520569B2 patent drawing
  • US10520569B2 patent drawing

AI summary

In a method and magnetic resonance (MR) apparatus for the optimized capture of MR measurement data of an object using at least two reception coils with slice multiplexing, achievable quality values for different parameter sets are tested in order to determine an optimum parameter set for the slice multiplexing. Slice multiplexing measurements thus can be performed with an optimum parameter set, so the capture time can be shortened and at the same time a higher quality is achieved in the measurement data that are generated and the images that are reconstructed.