Wearable Biomedical Imaging Headset for Non-Invasive Tumor Screening
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Solution Overview
Problem
Current biomedical imaging technologies for early cancer detection are invasive, unreliable, and prone to false positives, missing small malignant tumors and exposing patients to radiation, with limited sensitivity and high mortality rates.
Innovation Solution
A wearable headset system utilizing Sclerology and Physical Iridology for non-invasive tumor detection, featuring high-resolution digital cameras and AI/ML algorithms to analyze sclera and iris images for tumor biomarkers, enabling remote and secure screening.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If PET scan is used for early tumor detection, then sensitivity is improved, but the tumor size limit remains at 0.5 cm or larger
Solution Approach 1:
The invention divides the detection task into two segments: Physical Iridology for screening genetic predisposition and Sclerology for detecting subclinical neoplasms. This segmentation allows each method to focus on specific detection ranges, with Sclerology specifically targeting the 0.1-0.5 cm tumor size range that PET scans miss.
Solution Approach 2:
The patent introduces sclera and iris imaging as intermediary methods between genetic testing and traditional biomedical imaging. These intermediary techniques provide visual evidence of tumor biomarkers in the sclera and iris, bridging the gap between genetic predisposition screening and direct tumor detection.
2Measurement precision
If mammogram is used for breast cancer screening, then early detection is attempted, but invasive pressure and radiation exposure occur
Solution Approach 1:
The invention replaces the mechanical compression system of mammography with an optical imaging system. Instead of applying forty pounds of pressure per square inch, the system uses digital cameras to capture images of the sclera and iris, eliminating mechanical trauma to breast tissue.
Solution Approach 2:
The patent substitutes ionizing radiation with visible light for imaging. The digital camera system captures reflected light from the sclera and iris, providing tumor biomarker information without exposing patients to mutagenic radiation.
3Measurement precision
If PSA test is used for prostate cancer screening, then cancer detection is attempted, but false positives and invasive procedures increase
Solution Approach 1:
The patent introduces iris and sclera imaging as an intermediary screening method before proceeding to invasive PSA testing or biopsy. The visual biomarkers in the sclera and iris provide preliminary evidence of prostate cancer risk, allowing clinicians to avoid unnecessary biopsies in low-risk patients.
Solution Approach 2:
The system enables self-screening capability where patients can capture images of their own sclera and iris using the wearable headset, eliminating the need for invasive clinical procedures as a first-line screening method.
4Measurement precision
If conventional biomedical imaging is used, then tumor detection is attempted, but device complexity and cost increase
Solution Approach 1:
The patent employs inexpensive digital camera sensors instead of complex, multi-million dollar PET scanners or mammography machines. The wearable headset uses consumer-grade camera technology to capture sclera and iris images, dramatically reducing device cost and complexity while maintaining detection capability for subclinical neoplasms.
Data Source
AI summary
An independent wearable biomedical imaging system for early tumor detection the system including a physician headset having a graphical display in wireless communication with a patient headset having a left and right camera. The physician headset includes a map template database disposed in the memory storage drive including data specifying anatomical location of a patient tumor using sclera scans of a patient sclera and iris received from the patient headset. The physician can visually access the sclera scans from the patient headset camera and overlay with the map template to compare patient scan biomarkers with the map data. The physician may use the results in indicating strong genotype predisposition to tumors and tumor formation. The system algorithm would continue to amass biodata in the datasets helping the physician to increase accuracy in generating eye reports and statistical probability of tumor as well as genetic marker predisposition of the same.


