Phase-Based fMRI Mapping for Subtle Neuronal Activity Detection
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Solution Overview
Problem
Conventional functional magnetic resonance imaging (fMRI) techniques discard phase information, limiting the sensitivity of neuronal activity detection to subtle changes.
Innovation Solution
Utilize both magnitude and phase information in fMRI data to generate susceptibility-enhanced images, which are then processed to create functional activation maps, enhancing the sensitivity to neuronal activity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If routine fMRI processing only utilizes magnitude information from source images, then processing simplicity is maintained, but detection sensitivity to neuronal activity is limited
Solution Approach 1:
The patent extracts phase information from complex-valued fMRI data that was previously discarded. Phase masks are generated from the phase component and applied to magnitude images, separating and utilizing the previously lost phase information to enhance detection sensitivity to neuronal activity
Solution Approach 2:
The patent transforms the phase information into phase masks with scaled values that modulate the magnitude images. This parameter transformation converts the discarded phase data into a useful weighting mechanism that enhances susceptibility contrast and improves detection of subtle neuronal activation patterns
2Measurement precision
If phase information is discarded in routine fMRI processing, then processing complexity is reduced, but sensitivity to subtle neuronal activity changes is limited
Solution Approach 1:
Phase masks are pre-computed from the phase component of complex-valued fMRI data before being applied to magnitude images. This preliminary processing step prepares the phase information in advance, enabling enhanced sensitivity without significantly increasing overall processing complexity during the main analysis phase
3Reliability
If susceptibility-enhanced processing is applied, then statistical confidence of activation maps is improved, but processing time and computational resources increase
Solution Approach 1:
The phase information already present in the complex-valued fMRI data is utilized directly to create phase masks, eliminating the need for separate susceptibility mapping acquisitions. This self-service approach extracts useful information from existing data, improving statistical confidence without requiring additional scanning time or external resources
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 post-processing technique increases the sensitivity of fMRI for detecting neuronal activation patterns, resulting in functional activation maps with higher statistical confidence.
Implementation Method 1
Based on these changes, the local heterogeneity of the magnetic field causes dephasing of fMRI signal in the immediate vicinity of brain activation
Implementation Method 2
Phase masks are generated from the phase images with the computer system, where each phase mask scales phase information in the phase image to a range of values
Data Source
AI summary
Functional magnetic resonance imaging (“fMRI”) processing that makes use of both the magnitude and phase information contained in magnetic resonance signals is implemented to enhance the visualization of blood-oxygenation-level-dependent (“BOLD”) fMRI activation. As a result, the functional activation maps generated with these techniques are more sensitive to subtle neuronal activity than maps generated with conventional fMRI techniques, which utilize only magnitude information.