Methods and apparatus for detecting injury using multiple types of magnetic resonance imaging data
Inventors
Murray, Christopher I. • Ross, Andrew N. • Cook, Douglas J.
Assignees
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Publication Number
US-11423543-B2
Publication Date
2022-08-23
Expiration Date
Abstract
Methods and apparatus for evaluating an impact of injury to brain networks or regions are provided. The method comprises receiving MRI data of a brain of an individual, including a first volumetric dataset recorded using first imaging parameters and a second volumetric dataset recorded using second imaging parameters, combining, on a voxel-by-voxel basis, first MRI data based on the first volumetric dataset and second MRI data based on the second volumetric dataset to produce a volumetric injury map, performing a structural-functional analysis of one or more brain networks or regions by refining the volumetric injury map using a volumetric eloquence map that specifies eloquent brain tissue within the one or more brain networks or regions to determine an impact of injury within the one or more brain networks or regions, and displaying a visualization of the determined impact of injury within the one or more brain networks or regions.
Core Innovation
The invention evaluates an impact of injury to one or more brain networks or regions using magnetic resonance imaging (MRI) data of an individual. The MRI data includes a first volumetric dataset recorded using first imaging parameters and a second volumetric dataset recorded using second imaging parameters. The system normalizes the first MRI data based on the first volumetric dataset and normalizes the second MRI data based on the second volumetric dataset to produce normalized first MRI data and normalized second MRI data.
The invention combines, on a voxel-by-voxel basis, the normalized first MRI data and the normalized second MRI data to produce a volumetric injury map. Structural-functional analysis is performed of one or more brain networks or regions by refining the volumetric injury map using a volumetric eloquence map that specifies eloquent brain tissue within the one or more brain networks or regions. The refining includes producing an injury mask by combining, on a voxel-by-voxel basis, the volumetric injury map and the volumetric eloquence map.
The invention displays a visualization of the determined impact of injury within the one or more brain networks or regions. In the structural-functional analysis, the injury mask is used for determining impact of injury within the one or more brain networks. The impact determination may be based on comparing the injury mask to a library of masks and on spatial overlap, where masks correspond to grey matter nodes and white matter tracts for a structural-functional unit.
Claims Coverage
The document provides two independent claims, both covering a computerized system that receives MRI data with two volumetric datasets, produces a volumetric injury map, refines it with a volumetric eloquence map for structural-functional analysis, and displays a visualization of the determined injury impact. The inventive features focus on the normalization and voxel-by-voxel combination workflow and on using the eloquence map to generate an injury mask for structural-functional impact determination.
Voxel-wise fusion of differently parameterized MRI datasets into a volumetric injury map with internal normalization variants
Receiving MRI data including a first volumetric dataset recorded using first imaging parameters and a second volumetric dataset recorded using second imaging parameters; normalizing first MRI data based on the first volumetric dataset to produce normalized first MRI data; normalizing second MRI data based on the second volumetric dataset to produce normalized second MRI data; combining, on a voxel-by-voxel basis, the normalized first MRI data and the normalized second MRI data to produce a volumetric injury map; wherein the normalizing uses one or more of internal normalization, regional internal normalization and swapped regional internal normalization.
Refining the volumetric injury map using a volumetric eloquence map to determine impact in brain networks and displaying a visualization
Performing structural-functional analysis of one or more brain networks or regions by refining the volumetric injury map using a volumetric eloquence map that specifies eloquent brain tissue within the one or more brain networks or regions to determine an impact of injury within the one or more brain networks; and displaying a visualization of the determined impact of injury within the one or more brain networks or regions.
Producing an injury mask by voxel-wise combination of the volumetric injury map and the volumetric eloquence map
Performing structural-functional analysis of one or more brain networks or regions by refining the volumetric injury map using a volumetric eloquence map; wherein refining comprises combining, on a voxel-by-voxel basis, the volumetric injury map and the volumetric eloquence map to produce an injury mask.
The independent claim set centers on receiving MRI data with two volumetric datasets acquired with different imaging parameters, normalizing each dataset using internal normalization variants, combining the normalized data voxel-by-voxel to generate a volumetric injury map, and refining that injury map with a volumetric eloquence map to determine injury impact within brain networks or regions and to display a visualization. One independent claim further specifies producing an injury mask through voxel-by-voxel combination of the injury map and eloquence map.
Stated Advantages
Provides a structural-functional analysis of injury impact within one or more brain networks or regions using a volumetric eloquence map.
Displays a visualization of the determined impact of injury within the one or more brain networks or regions.
Documented Applications
Used to evaluate impact of injury to brain networks or regions in stroke and mild traumatic brain injury (mTBI) as described in the provided document summary.
Supports interactive visualizations for clinical/rehabilitation and potential surgical guidance and trial outcome standardization as described in the provided document summary.
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