Cornea Nerve Fiber Analysis for Concussion Diagnosis
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Solution Overview
Problem
Conventional methods for diagnosing concussions are inaccurate and time-consuming, relying on subjective patient accounts and expensive imaging techniques, which hinder proper treatment and recovery evaluation.
Innovation Solution
A system utilizing a microscope to capture cornea image data, processed by a computing device with machine learning algorithms to analyze cornea nerve fiber characteristics, providing a quick and non-invasive diagnosis of concussion severity and occurrence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional methods (blood tests, CT scans, MRI) are used for concussion diagnosis, then measurement precision may be improved, but loss of time and productivity deteriorate
Solution Approach 1:
The patent extracts and analyzes specific corneal nerve fiber characteristics (density, branching patterns, morphology) from corneal images as biomarkers for concussion diagnosis. This extraction of key diagnostic features from the cornea enables rapid assessment without requiring time-intensive imaging procedures like CT or MRI scans
Solution Approach 2:
The patent replaces complex mechanical imaging systems (CT scanners, MRI machines) with a simpler optical system using a microscope to capture corneal images. This substitution maintains diagnostic capability while dramatically reducing equipment requirements, cost, and examination time
2Measurement precision
If conventional methods (CT scans, MRI) are used for concussion diagnosis, then measurement precision may be improved, but device complexity and cost worsen
Solution Approach 1:
The patent employs a simple, inexpensive microscope system instead of expensive, complex imaging equipment like CT scanners or MRI machines. The corneal imaging approach uses readily available optical equipment, making the diagnostic system accessible and cost-effective without requiring sophisticated medical imaging infrastructure
Solution Approach 2:
The patent extracts diagnostic information from the corneal tissue itself, using the cornea as a natural window to assess brain health. This eliminates the need for invasive procedures or complex imaging equipment, as the corneal nerve fibers serve as accessible biomarkers that can be visualized with simple optical microscopy
3Ease of operation
If subjective patient accounts are used for concussion evaluation, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The patent introduces corneal nerve fiber characteristics as an objective intermediary biomarker between the patient's subjective experience and the diagnostic conclusion. The corneal imaging provides quantifiable, objective data (nerve density, branching patterns) that bridges the gap between simple procedural operation and accurate medical diagnosis
Solution Approach 2:
The patent utilizes optical imaging to detect changes in corneal nerve fiber appearance, density, and morphology. These visual changes in the corneal tissue serve as objective indicators of concussion, replacing reliance on subjective patient reports while maintaining procedural simplicity through non-invasive imaging
4Measurement precision
If conventional evaluation methods are used for treatment monitoring, then measurement precision may be improved, but loss of time and productivity worsen
Solution Approach 1:
The patent enables continuous monitoring of concussion recovery by repeatedly imaging corneal nerve fibers over time. This continuous assessment provides ongoing objective data on treatment effectiveness and recovery progression, allowing for rapid evaluation without interrupting the treatment workflow or requiring time-intensive periodic imaging
Data Source
AI summary
The various examples of the present disclosure are directed towards systems and methods for diagnosing brain health. An exemplary system includes a microscope, a processor, and a memory. The microscope outputs image data of a cornea of a patient. The memory has a plurality of stored code sections, which, when executed by the processor, include instructions for analyzing cornea image data to determine brain health. The instructions begin with receiving cornea image data from the microscope. The instructions then provide for determining at least one marker from the received cornea image data. The instructions then provide for outputting a brain health diagnosis based on the at least one marker.


