WASAB1 Signal Post-Processing for Rapid B0 and B1 Mapping

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Solution Overview

Problem

Existing magnetic resonance imaging (MRI) techniques, particularly Chemical Exchange Saturation Transfer (CEST) imaging, face challenges in accurately and efficiently correcting for inhomogeneities in static magnetic field B0 and excitation field B1, leading to long calculation times and loss of signal polarity, which are prohibitive for clinical applications.

Innovation Solution

A post-processing method for WASAB1 acquisition sequences that estimates the parameters B0 and B1 using a simplified model with two parameters, based on detecting and preserving the polarity of the experimental signal, allowing for rapid and robust corrections by constructing a polarized set of samples.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If a simplified two-parameter model is used for post-processing WASAB1 sequences, then calculation time is reduced and productivity is improved, but measurement precision of B0 and B1 parameters may deteriorate

Engineering Contradiction:
Improvecalculation timeVSAvoidparameter estimation accuracy
Core Design Contradiction:
ProductivityVSMeasurement precision

Solution Approach 1:

The patent transforms the complex four-parameter estimation problem into a simplified two-parameter problem by changing the parameter space. Instead of estimating amplitude, frequency, phase, and damping simultaneously, the method estimates only the static magnetic field B0 and excitation field B1 parameters, which are the clinically relevant quantities. This parameter reduction dramatically decreases calculation time while maintaining sufficient accuracy for clinical applications.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent extracts and preserves only the essential polarity information from the experimental signal while discarding less critical components. By focusing on the sign of the signal rather than its full magnitude and phase characteristics, the method simplifies the data processing requirements and reduces computational burden while retaining the key information needed for accurate B0 and B1 mapping.

Inventive Principle:
Principle #2Taking out (Extraction)

2Measurement precision

If polarity detection is implemented in the post-processing method, then measurement precision of B0 and B1 is improved, but device complexity increases

Engineering Contradiction:
Improveparameter estimation accuracyVSAvoidprocessing complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent replaces complex mechanical or computational signal processing mechanisms with a simpler polarity detection approach. Instead of using sophisticated phase analysis or full signal reconstruction algorithms, the method simply detects the sign of the signal at specific time points, which can be implemented with minimal computational resources while still achieving high measurement precision for B0 and B1 parameters.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

3Measurement precision

If existing four-parameter adjustment methods are used, then measurement precision is maintained, but loss of time occurs due to long calculation times

Engineering Contradiction:
Improveparameter estimation accuracyVSAvoidcalculation time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent performs preliminary action by detecting the polarity of the experimental signal before the main parameter estimation process. This preliminary polarity information is then used to guide the simplified two-parameter fitting procedure, ensuring that the reduced computational method still achieves accurate results. By preparing this key information in advance, the method avoids the need for time-consuming full signal analysis while maintaining precision.

Inventive Principle:
Principle #10Preliminary action

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

The method significantly reduces calculation times and enhances the accuracy of B0 and B1 estimations, producing high-quality parametric maps suitable for clinical applications, enabling precise characterization of lesions and biomarkers.

Implementation Method 1

Magnetic resonance imaging is based on an analysis of the response of the proton of a water molecule when it is excited in a magnetic field

Methodology Applied
Scientific EffectMagnetic resonance:

Implementation Method 2

a nuclear magnetic resonance imaging device 1, as illustrated by way of non-limitative example by FIGS. 1 and 2

Methodology Applied
Scientific EffectNuclear magnetic resonance:

Implementation Method 3

Chemical Exchange Saturation Transfer (CEST) imaging, face challenges in accurately and efficiently correcting for inhomogeneities

Methodology Applied
Scientific EffectChemical exchange saturation transfer (CEST):

Implementation Method 4

applying a radiofrequency pulse according to different determined resonant frequencies w, such that chemical species of interest reach a state of saturation

Methodology Applied
Scientific EffectResonance: Resonance

Implementation Method 5

The WASAB1 sequence was invented... Simultaneous mapping of water shift and B1 (WASAB1)—application to field-inhomogeneity correction of CEST MRI data

Methodology Applied
Scientific EffectRabi oscillations:

Implementation Method 6

makes it possible to simultaneously map the static magnetic field B0 and the excitation magnetic field B1

Methodology Applied
Scientific EffectMagnetic field mapping:

Data Source

PatentUS12366623B2Method for carrying out post-processing on samples of a WASAB1 acquisition sequence
Publication Date: 2025.07.22 OLEA MEDICAL
  • US12366623B2 patent drawing
  • US12366623B2 patent drawing
  • US12366623B2 patent drawing

AI summary

The invention relates to a method for carrying out post-processing on a first set of samples measuring the magnitude of a WASAB1 signal delivered by a magnetic-resonance medical-imaging apparatus. Such a method comprises a step of detecting the samples of a first set Z, for which samples the respective polarities of the values of the measured signal are known, and of constructing a second set Y of “polarised” samples. Such a method further comprises a step of fitting a determined model to said second set Y, the two parameters of the determined model describing the static magnetic field B0 and excitation magnetic field B1 of the magnetic-resonance medical-imaging apparatus, respectively, and of producing an estimation of the parameters B0 and B1 of the model. Such a method relates to any magnetic-resonance-imaging application in which a correction for inhomogeneities in the fields B0 and B1 is required.