Measurement between the Basion and Dens of the Occipito-Cervical as an indicator of soft tissue damage resulting from trauma.
Commercialization Readiness Levels™
Fiber-Coupled Metal - Tip Near - Field Chemical Imaging Spectroscopy
Department of Physics
IRL Level 4-6
IP Readiness Level
Patent Office Action(s) Overcome
SRL Level 4
Scientific Readiness Level
Technology Concept and / or Application Formulated
PRL Level 5
Product Readiness Level
Full Set of Functions Demonstrated Inside Lab (MVP)
MRL Level 2
Market Readiness Level
Value Proposition Formulated
A highly compatible software system for automatically analyzing medical images and alerting physicians to the presence of occipito-cervical injuries often missed in standard patient care. During routine scans the software systematically measures the distance between the Basion and Dens of the OCC for indication of abnormal anatomical geometry and soft tissue damage.
Current solution involves manual determination by a physician or radiologist, however, the process can be tedious, time-consuming, and susceptible to human error, despite the highest level of medical training, skill, and experience. If OCC damage is not quickly and properly diagnosed and treated, it can progress quickly and be fatal.
Automates detection and assesses risk levels from medical images
Increases speed and accuracy of OCC injury diagnosis
Precise and accurate results not capable by the naked eye
Compatible with existing instrumentation
Minimizes technical expertise requirements
Analyzing medical images for occipito-cervical injuries
Platform for the development of other applications related to the diagnosis of abnormal anatomical geometries and injury
Stage of Development
This proof-of-concept system has been tested and a full set of functions have been demonstrated in the lab.
TECHNOLOGY READINESS LEVEL EQUVALENCY: 5
License available as a Blueprints No-hassle Limited Exclusive License from Baylor.
Licensees may have the opportunity to pursue collaborative research with the inventors.
Testing data may be available to companies evaluating the technology.
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Highly rated by 3rd party commercialization potential assessor.