CSF Flow Velocity Mapping for Chiari I Diagnosis
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Solution Overview
Problem
Current diagnostic techniques for Chiari Malformation using phase contrast MRI fail to accurately predict symptom severity and surgical outcomes due to inconsistent results from uncorrected aliasing and averaging of cerebrospinal fluid (CSF) flow velocities, which leads to incomplete understanding of CSF flow dynamics.
Innovation Solution
A method and system that display spatially localized measurements over time, combining spatial and temporal data to create a spatial-temporal mapping of CSF flow velocities in the foramen magnum during the cardiac cycle, allowing for enhanced diagnosis by correlating velocity measurements with anatomical locations and timing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If phase contrast MRI techniques are used to measure CSF flow velocity, then flow velocity measurements can be obtained, but the measurements are inconsistent due to uncorrected aliasing and averaging errors
Solution Approach 1:
The patent applies preliminary action by performing aliasing correction and temporal dynamics analysis before final velocity calculation. The system first identifies and corrects aliased velocity values using phase unwrapping algorithms, then analyzes the temporal patterns of CSF flow to distinguish true velocity changes from measurement artifacts. This preliminary processing ensures that subsequent diagnostic measurements are based on corrected, reliable data rather than raw, potentially erroneous velocity readings.
2Measurement precision
If spatial and temporal data are combined to create spatial-temporal mapping, then diagnostic accuracy is improved, but data processing complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the complex spatial-temporal data processing into distinct modular components: (1) spatial encoding module that processes anatomical location data, (2) temporal encoding module that processes time-series velocity data, (3) aliasing correction module, and (4) integration module that combines spatial and temporal information. Each module handles a specific aspect of the data, making the overall system more manageable and easier to implement despite the increased processing requirements.
Solution Approach 2:
The patent transitions from traditional 2D spatial MRI images to a 3D spatial-temporal representation by adding the time dimension to the velocity measurements. This dimensional expansion allows the system to visualize and analyze CSF flow dynamics throughout the cardiac cycle, revealing patterns and abnormalities that cannot be detected in static images. The additional dimension provides comprehensive diagnostic information but requires correspondingly more complex processing capabilities.
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 a more comprehensive understanding of CSF flow dynamics, revealing the complexity of Chiari Malformation and improving diagnostic accuracy by considering both spatial and temporal aspects of velocity measurements.
Implementation Method 1
When utilizing these signals to produce images, magnetic field gradients (Gx Gy and Gz) are employed
Implementation Method 2
MR methods have been developed that encode motion into the phase of the acquired signal
Implementation Method 3
the individual magnetic moments of the spins in the tissue attempt to align with this polarizing field, but precess about it in random order at their characteristic Larmor frequency
Implementation Method 4
If the substance, or tissue, is subjected to a magnetic field (excitation field B1) which is in the x-y plane and which is near the Larmor frequency, the net aligned moment, Mz, may be rotated, or 'tipped', into the x-y plane
Data Source
AI summary
Multiple cardiac gated, flow encoded, 2DFT MR images are acquired transversely in the vicinity of the foramen magnum of a subject. For each resulting 2D image parametric images depicting cephalad CSF flow caudad CSF flow and CSF throughput are reconstructed and displayed. CSF velocity images are reconstructed at successive cardiac phases and CSF flow velocity at each voxel therein is plotted as a function of cardiac phase. Cumulative flow images are also reconstructed and successive voxel values therein are also plotted. A link is established between displayed plotted curves and locations in the parametric images to facilitate diagnosis of Chiari I disease.