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
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.
Accurately identify and diagnose OCC injury from CT imaging.
Administer early treatment
Prevent long term neurological complications and death
Eliminate tedious and time-consuming manual examination
Automates detection and assesses risk levels from medical images
Minimize technical expertise requirements
Maintain compatibility with existing instrumentation
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 EQUIVALENCY: 4
License available 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.