Invention Grant
- Patent Title: Novel, quantitative framework for the diagnostic, prognostic, and therapeutic evaluation of spinal cord diseases
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Application No.: US17251513Application Date: 2019-06-14
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Publication No.: US11842491B2Publication Date: 2023-12-12
- Inventor: Christopher J. Conklin , Feroze B. Mohamed , Devon M. Middleton , Mahdi Alizadeh
- Applicant: Thomas Jefferson University
- Applicant Address: US PA Philadelphia
- Assignee: Thomas Jefferson University
- Current Assignee: Thomas Jefferson University
- Current Assignee Address: US PA Philadelphia
- Agency: Riverside Law LLP
- International Application: PCT/US2019/037196 2019.06.14
- International Announcement: WO2019/241637A 2019.12.19
- Date entered country: 2020-12-11
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06T7/00 ; A61B34/10 ; G06T7/187 ; G06T7/136 ; G06T7/155 ; G16H20/40 ; A61B5/055 ; A61B5/00 ; G06T11/00

Abstract:
A method of generating a quantitative characterization of injury presence and status of spinal cord tissue using an adaptive CNN system for use in diagnostic assessment, surgical planning, and therapeutic strategy comprises preprocessing for artifact correction of diffusion based, spinal cord MRI data, training an adaptive CNN system with healthy and abnormal (injured/pathologic) spinal cord images obtained by imaging a population of healthy, typically developed spinal cord subjects and subjects with spinal cord injury, evaluating a novel, diffusion-based MRI image for injury biomarkers using the adaptive CNN system, generating a three-dimensional predictive axonal damage map for quantitative characterization and visualization of the novel, diffusion-based MRI image, and transmitting the sets of healthy and injured spinal cord images back to a central database for continued improvement of the adaptive CNN system training. A system for defining a predictive spinal axonal damage map is also described.
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