Technology

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.

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Problem Addressed​

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. 

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Advantages​

• 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

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Applications

• Analyzing medical images for occipito-cervical injuries

• Platform for the development of other applications related to the diagnosis of abnormal anatomical geometries and injury

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Stage of Development

This proof-of-concept system has been tested and a full set of functions have been demonstrated in the lab.

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TECHNOLOGY READINESS LEVEL EQUIVALENCY: 4

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Business Opportunity

• Businesses can commercialize the technology by licensing U.S. Patent Application 20140133726A1 from Baylor.

• 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.

• Blueprints guides businesses through licensing and follow-on research; services provided at no cost​.

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Notable Mentions
Highly rated by 3rd party commercialization potential assessor.