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Proceedings Paper

PRM/NIR sensor for brain hematoma detection and oxygenation monitoring
Author(s): Liu Zheng; Hyo Sang Lee; Sandor Lokos; Jin Kim; Daniel F. Hanley; David A. Wilson
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Paper Abstract

The pseudo-random modulation/near IR sensor (PRM/NIR Sensor) is a low cost portable system designed for time-resolved tissue diagnosis, especially hematoma detection in the emergency care facility. The sensor consists of a personal computer and a hardware unit enclosed in a box of size 37 X 37 X 31 cm3 and of weight less than 10 kg. Two pseudo-random modulated diode lasers emitting at 670 nm and 810 nm are used in the sensor as light sources. The sensor can be operated either in a single wavelength mode or a true differential mode. Optical fiber bundles are used for convenient light delivery and color filters are used to reject room light. Based on a proprietary resolution- enhancement correlation technique, the system achieves a time resolution better than 40 ps with a PRM modulation speed of 200 MHz and a sampling rate of 1-10 Gs/s. Using the prototype sensor, phantom experiments have been conducted to study the feasibility of the sensor. Brain's optical properties are simulated with solutions of intralipid and ink. Hematomas are simulated with bags of paint and hemoglobin immersed in the solution of varies sizes, depths, and orientations. Effects of human skull and hair are studied experimentally. In animal experiment, the sensor was used to monitor the cerebral oxygenation change due to hypercapnia, hypoxia, and hyperventilation. Good correlations were found between NIR measurement parameters and physiological changes induced to the animals.

Paper Details

Date Published: 16 June 1997
PDF: 10 pages
Proc. SPIE 2976, Biomedical Sensing, Imaging, and Tracking Technologies II, (16 June 1997); doi: 10.1117/12.275537
Show Author Affiliations
Liu Zheng, Science & Engineering Services, Inc. (United States)
Hyo Sang Lee, Science & Engineering Services, Inc. (United States)
Sandor Lokos, Science & Engineering Services, Inc. (United States)
Jin Kim, Science & Engineering Services, Inc. (United States)
Daniel F. Hanley, Johns Hopkins Univ. (United States)
David A. Wilson, Johns Hopkins Univ. (United States)

Published in SPIE Proceedings Vol. 2976:
Biomedical Sensing, Imaging, and Tracking Technologies II
Tuan Vo-Dinh; Robert A. Lieberman; Gerald G. Vurek; Abraham Katzir, Editor(s)

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