Double Inversion-Recovery MRI for Cortical Lesion Detection
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Solution Overview
Problem
Conventional MRI techniques are limited in detecting cortical pathology in multiple sclerosis, particularly failing to capture microscopic abnormalities in white and gray matter, and are not sensitive enough to identify subpial plaques, which are common in early MS cases, due to low signal-to-noise ratio and the need for high magnetic field strengths not approved for clinical use.
Innovation Solution
The use of a double inversion-recovery MRI method that selectively nulls magnetic resonance signals from gray matter and cerebrospinal fluid to enhance the visibility and connectivity analysis of cortical lesions, allowing for the identification of imaging biomarkers for MS diagnosis and progression.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If standard DIR imaging techniques are used to suppress normal-appearing WM and CSF, then detection of some MS lesions is improved, but sensitivity in identifying subpial plaques remains poor
Solution Approach 1:
The patent applies parameter changes by modifying the DIR pulse sequence parameters, specifically adjusting the inversion times (TI1 and TI2) to optimize the nulling of normal-appearing white matter and CSF signals while enhancing the visibility of subpial plaques. This resolves the contradiction by tuning the imaging parameters to simultaneously improve general lesion detection and specifically enhance subpial plaque identification accuracy
2Measurement precision
If higher magnetic field values are used to improve CL detection, then sensitivity increases, but clinical approval and availability are limited
Solution Approach 1:
The patent resolves this contradiction by optimizing imaging parameters (inversion times, pulse sequence settings) to achieve high cortical lesion detection sensitivity at clinically approved magnetic field strengths (1.5T and 3T), eliminating the need for unapproved high-field systems while maintaining diagnostic accuracy
3Adaptability or versatility
If conventional MRI techniques are used, then imaging is available on standard scanners, but cortical pathology and microscopic abnormalities are not captured
Solution Approach 1:
The patent applies segmentation by using DIR imaging to selectively suppress normal-appearing white matter and CSF signals, thereby segmenting and isolating cortical lesions and subpial plaques from the surrounding normal tissue. This enables standard scanners to specifically highlight cortical pathology that would otherwise be invisible among normal brain structures
Solution Approach 2:
The patent modifies standard MRI parameters by implementing specific DIR pulse sequences with optimized inversion times to enhance cortical lesion visibility on conventional scanners, resolving the contradiction between using available standard equipment and detecting subtle cortical abnormalities
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 provides increased sensitivity for detecting cortical plaques and underlying neurological disease states, enabling more accurate diagnosis and monitoring of MS progression using standard clinical MRI scanners at FDA-approved magnetic field strengths.
Implementation Method 1
double inversion-recovery MRI method that selectively nulls magnetic resonance signals from gray matter and cerebrospinal fluid
Implementation Method 2
acquire diffusion-weighted data by performing a diffusion-weighted pulse sequence
Data Source
AI summary
Systems and methods related to imaging biomarkers for determining neurological disease states of a subject are provided. In one embodiment, a method for producing an image indicative of a neurological disease using a magnetic resonance imaging (“MRI”) system is provided. The method includes directing the MRI system to perform a double inversion-recovery (“DIR”) pulse sequence to generate data where signals from gray matter and cerebral spinal fluid are substantially suppressed. The method also includes analyzing the DIR images, reconstructed from the acquired data, to identify cortical and white matter lesions. This includes identifying imaging biomarkers based on visual signatures of brain tissue, including white matter tissue. In some aspects, diffusion-weighted data may also be obtained using the MRI system. Diffusion-weighted data may be used in a tractography process to determine connectivities, or connectivity patterns between the identified lesions, including cortical lesions, to determine neurological disease states of the subject.