Author
Chambers, RheaganQuon, Nick
Slomka, Bridget
Martirosyan, Nikolay
Lemole, G. Michael
Romanowski, Marek
Affiliation
Univ Arizona, Dept Biomed EngnIssue Date
2020-02-17Keywords
pupillometercranial nerve
pupillary light response
traumatic brain injury
intracranial pressure
pupil
medical imaging
spherical aberration
Metadata
Show full item recordPublisher
SPIE-INT SOC OPTICAL ENGINEERINGCitation
Chambers, R., Quon, N., Slomka, B., Martirosyan, N., Lemole Jr, M., & Romanowski, M. (2020, February). Pupillary sensor for ocular cranial nerve monitoring. In Clinical and Translational Neurophotonics 2020 (Vol. 11225, p. 112250I). International Society for Optics and Photonics.Rights
© 2020 SPIE.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
In humans, the pupillary light reflex (PLR) is the change in diameter of the pupil as a response to changes in light intensity. By quantitatively monitoring the pupillary light reflex, there is potential to gain diagnostic knowledge for patients in a variety of situations including those suffering from a traumatic brain injury as well as those undergoing invasive neurosurgery proximal to the optic nerves. To improve the diagnostic capabilities of the PLR, a novel pupillometer was developed. The pupillometer is intended for direct placement on the eye and allows for the continuous stimulation and monitoring of pupillary light reflexes. Tests on anesthetized rabbits demonstrate real-time data acquisition and display, including the pupil diameter and velocities of constriction and dilation. The sensor is in development for implementation as a clinical device to monitor the status of the oculomotor nerves, and may also find applications in the diagnostic assessment of traumatic brain injury or changes in intracranial pressure.ISSN
0277-786XVersion
Final published versionae974a485f413a2113503eed53cd6c53
10.1117/12.2542058