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Proceedings Paper

Derivative spectrophotometric analysis of cerebrospinal fluid for the detection of a ruptured cerebral aneurysm
Author(s): P. R. Bhadri; A. Majumder; C. J. Morgan M.D.; G. J. Pyne; M. Zuccarello M.D.; E. Jauch; K. R. Wagner; J. F. Clark; J. Caffery Jr.; Fred R. Beyette Jr.
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Paper Abstract

A cerebral aneurysm is a weakened portion of an artery in the brain. When a cerebral aneurysm ruptures, a specific type of bleeding known as a subarachnoid hemorrhage (SAH) occurs. No test exists currently to screen people for the presence of an aneurysm. The diagnosis of a SAH is made after an aneurysm ruptures, and the literature indicates that nearly one-third of patients with a SAH are initially misdiagnosed and subjected to the risks associated with aneurysm re-rupture. For those individuals with a suspected SAH, a computerized tomography (CT) scan of the brain usually demonstrates evidence of the bleeding. However, in a considerable portion of people, the CT scan is unable to detect the blood that has escaped from the blood vessel. For circumstances when a SAH is suspected despite a normal CT scan, physicians make the diagnosis of SAH by performing a spinal tap. A spinal tap uses a needle to sample the cerebrospinal fluid (CSF) collected from the patient’s back; CSF is tainted with blood after the aneurysm ruptures. To distinguish between a common headache and a SAH, a fast and an effective solution is required. We describe the development of an effective detection system integrating hardware and a powerful software interface solution. Briefly, CSF from the patient is aspirated and excited with an appropriate wavelength of light. The software employs spectrophotometric analysis of the output spectra and lays the foundation for the development of portable and user-friendly equipment for detection of a ruptured cerebral aneurysm.

Paper Details

Date Published: 23 October 2003
PDF: 12 pages
Proc. SPIE 5202, Optical Information Systems, (23 October 2003); doi: 10.1117/12.508062
Show Author Affiliations
P. R. Bhadri, Univ. of Cincinnati (United States)
A. Majumder, Univ. of Cincinnati (United States)
C. J. Morgan M.D., Univ. of Cincinnati College of Medicine (United States)
G. J. Pyne, Univ. of Cincinnati College of Medicine (United States)
M. Zuccarello M.D., Univ. of Cincinnati College of Medicine (United States)
E. Jauch, Univ. of Cincinnati College of Medicine (United States)
K. R. Wagner, Univ. of Cincinnati College of Medicine (United States)
J. F. Clark, Univ. of Cincinnati College of Medicine (United States)
J. Caffery Jr., Univ. of Cincinnati (United States)
Fred R. Beyette Jr., Univ. of Cincinnati (United States)


Published in SPIE Proceedings Vol. 5202:
Optical Information Systems
Bahram Javidi; Demetri Psaltis, Editor(s)

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