Atlas-Based Masking for Quantitative Susceptibility Mapping
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Solution Overview
Problem
Conventional quantitative susceptibility mapping (QSM) techniques are highly dependent on user parameter choices, which affects the accuracy, reliability, and reproducibility of the masking step in the QSM pipeline, leading to inconsistent results.
Innovation Solution
Incorporating atlas-based segmentation techniques, specifically customized for morphological applications like T1w MPRAGE, to generate masks that are then fed into the QSM post-processing pipeline, reducing user input and improving reproducibility by using echo time-specific or multi-echo atlases for more accurate susceptibility mapping.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional masking techniques are used in QSM pipeline, then the process can be completed with existing tools, but the results show high user dependency and low reproducibility
Solution Approach 1:
The patent applies atlas-based segmentation by copying anatomical structures from a reference atlas to the target image. Instead of relying on user-defined parameters, the system automatically segments brain tissues by matching the target image with a pre-labeled atlas, thereby eliminating user dependency and improving reproducibility of QSM results
Solution Approach 2:
The patent performs preliminary segmentation and labeling of anatomical structures using a pre-prepared atlas before the actual QSM processing. This preliminary action creates a standardized mask that guides subsequent susceptibility mapping steps, ensuring consistent results across different users and sessions
2Productivity
If standard brain extraction tools are used, then the masking step can be performed quickly, but the accuracy and consistency of susceptibility mapping deteriorate due to parameter sensitivity
Solution Approach 1:
The system copies anatomical boundaries and tissue classifications from a reference atlas to the target image, providing accurate segmentation without requiring time-consuming manual parameter adjustments. This approach maintains both speed and accuracy by leveraging pre-computed anatomical knowledge from the atlas
Solution Approach 2:
The patent transforms the masking approach from parameter-dependent thresholding to parameter-independent atlas matching. By changing the fundamental parameter set from user-defined thresholds to atlas-based anatomical priors, the system achieves both automated processing speed and high segmentation accuracy
3Adaptability or versatility
If manual parameter adjustment is allowed for masking, then user control over the process is maintained, but the complexity of the QSM pipeline increases and standardization is lost
Solution Approach 1:
The system replaces complex manual parameter adjustment with simple atlas-based copying of anatomical structures. This reduces pipeline complexity by substituting multiple manual steps with a single automated atlas-matching operation, while maintaining adaptability through the ability to select different atlas types
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 enhances the accuracy and reproducibility of QSM by minimizing user-dependent variations and providing a standardized masking process, leading to improved reliability and consistency in susceptibility mapping.
Implementation Method 1
Magnetic resonance imaging is a well-known imaging modality in which signals from excited nuclear spins of an examination subject are detected, as those nuclear spins return to a steady state or equilibrium state after being excited
Implementation Method 2
As these excited nuclear spins relax and return to the steady state, they emit RF signals, detected as MR signals
Implementation Method 3
By applying a mathematical technique known as Fourier transformation to the k-space data, image data are generated
Implementation Method 4
Quantitative susceptibility mapping (QSM) is a known post-processing technique wherein the underlying magnetic susceptibility distribution of a tissue sample is computed from the phase information represented in the acquired MR data
Data Source
AI summary
In a magnetic resonance method and apparatus, deficiencies in conventional masking in quantitative susceptibility mapping (QSM) are addressed by the inclusion of an additional step in the conventional QSM post-processing pipeline. In this additional step, atlas-based segmentation techniques, which have been developed for morphological applications such as T1w MPRAGE are used in order to provide the mask. This mask is then fed to the remainder of the QSM post-processing pipeline.