Spectral CT Brain Scan Evaluation with CAD
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Solution Overview
Problem
Current methods for detecting concussions and mild traumatic brain injuries (mTBI) are inadequate due to reliance on subjective visual inspection of scan images, lack of sensitivity, and impracticality for immediate on-site diagnosis, leading to delayed treatment and potential worsening of injuries.
Innovation Solution
The use of a multi-energy x-ray source and photon-counting detector in conjunction with a content-aware computer-aided diagnostic (CAD) algorithm to analyze CT scan data, comparing baseline and post-concussive injury scans to identify biomarkers indicative of mTBI, enabling objective and immediate diagnosis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual inspection of scan images by physicians is used to detect brain injury, then the method is simple and widely available, but the detection sensitivity is insufficient and results are subjective
Solution Approach 1:
A computer-aided diagnostic system serves as an intermediary between the scan data and the physician's diagnosis. The system processes raw volumetric datasets through automated algorithms that detect subtle physiological changes and biomarkers, providing objective quantitative measurements that enhance the physician's diagnostic capability without replacing the clinical decision-making process
Solution Approach 2:
The patent replaces the mechanical/visual inspection process with automated computational analysis. Instead of relying on human visual inspection of scan images, the system uses computer algorithms to automatically analyze raw volumetric datasets, detect biomarkers, and quantify physiological changes, thereby substituting subjective visual assessment with objective computational measurement
2Measurement precision
If specialized neuroimaging technologies and invasive tests are used to detect biomarkers, then detection accuracy improves, but the tests become expensive, time-consuming, and impractical for immediate on-site diagnosis
Solution Approach 1:
The patent extracts the essential diagnostic functionality from complex specialized neuroimaging technologies and invasive tests. By identifying and isolating the key biomarkers and physiological changes that indicate brain injury, the system creates a streamlined diagnostic approach that captures the essential diagnostic information without requiring the full complexity, expense, or time commitment of specialized imaging or invasive procedures
Solution Approach 2:
The patent employs a portable CT scanner and automated analysis system that provides a cost-effective, time-efficient alternative to expensive specialized neuroimaging technologies. The system delivers immediate diagnostic results using readily available equipment and algorithms, making high-accuracy biomarker detection accessible at the point of injury without the need for expensive, time-consuming specialized facilities
3Measurement precision
If conventional CT and MRI scans are used for brain injury detection, then the equipment is widely available, but the visual output is not sensitive enough to detect subtle brain injuries
Solution Approach 1:
The system performs preliminary automated analysis of the scan data to identify and highlight subtle physiological changes before the physician reviews the images. By pre-processing the raw volumetric datasets through algorithms that detect minor density variations and biomarkers, the system prepares the data in advance to make subtle injuries more apparent and easier to detect during clinical review
Solution Approach 2:
The patent transforms the scan data from standard visual image format into quantitative measurements of physiological parameters. By converting visual scan images into objective numerical data representing tissue density, biomarker concentrations, and other physiological metrics, the system enables detection of subtle changes that are imperceptible in visual images but measurable through parameter analysis
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 allows for accurate, objective detection and quantification of mTBI biomarkers, facilitating immediate diagnosis and treatment, even in remote locations, by leveraging raw volumetric datasets to identify subtle physiological changes.
Implementation Method 1
a multi-energy x-ray source in connection with a photon counting detector
Implementation Method 2
a multi-energy x-ray source in connection with a photon counting detector
Data Source
AI summary
The present disclosure provides systems and methods for evaluating a brain scan using reference data. Specifically, the systems and methods include a computed tomography (CT) scanner for the purpose of diagnosing concussions or mild traumatic brain injuries (mTBI). The system includes a multi-energy x-ray source (i.e., spectral CT), a photon counting x-ray detector, and a content-aware computer aided diagnostic (CAD) algorithm designed to detect imperceptible changes indicative of structural and physiological damage caused by a concussive event by comparing raw volumetric datasets of baseline (healthy) reference scan data to patient scan data taken after a concussive event.