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Proceedings Paper

In-vivo optical reflectance measurement of human brain tissue with calculation of absorption and scattering coefficients
Author(s): Maureen Johns; Cole A. Giller; Hanli Liu
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Paper Abstract

Parkinson's disease is a neuro-degenerative disease affecting the globus pallidus (GP), a deep brain gray matter structure surrounded by white matter. During a pallidotomy a thin radio frequency probe is inserted into the GP to generate a small lesion. A fiber optic reflectance probe was developed and used during surgery. This instrument provides real-time display of the optical reflectance spectra as well as assisted lesion localization. Our 1.5-mm probe contains seven 100-micrometers fibers, one delivers light and six return the reflected light to a spectrometer. During clinical studies, the probe was placed against the surface of the brain and the spectrum between 350 - 850 nm was recorded. Measurements were repeated at 1-mm increments from the surface of the brain to 60-mm deep (GP level). This provided optical reflectance signals from both gray and white matter. Clinical results show that gray matter reflectance is approximately 50% of white matter between 650 - 800 nm. By calculating the slope between 700 - 850 nm, the signals can be differentiated between gray and white matter. We can quantify the absorption and scattering coefficients of the locally measured brain tissue by fitting the two-flu theory of Kubelka and Munk with our measurements.

Paper Details

Date Published: 9 July 1999
PDF: 9 pages
Proc. SPIE 3595, Biomedical Diagnostic, Guidance, and Surgical-Assist Systems, (9 July 1999); doi: 10.1117/12.351519
Show Author Affiliations
Maureen Johns, Univ. of Texas/Arlington and Univ. of Texas Southwestern Medical Ctr. at Dallas (United States)
Cole A. Giller, Univ. of Texas Southwestern Medical Ctr. at Dallas (United States)
Hanli Liu, Univ. of Texas/Arlington and Univ. of Texas Southewestern Medical Ctr. at Dallas (United States)


Published in SPIE Proceedings Vol. 3595:
Biomedical Diagnostic, Guidance, and Surgical-Assist Systems
Tuan Vo-Dinh; Warren S. Grundfest; David A. Benaron; Steven T. Charles; Richard D. Bucholz; Michael W. Vannier, Editor(s)

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