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Proceedings Paper

Development of a diagnostic system for bilirubin detection in cerebral spinal fluid
Author(s): Prashant R. Bhadri; Vasant Anil Salgaonkar; Anindya Majumdar; Chad J. Morgan; Mario Zuccarello; Gail J. Pyne; Elizabeth Dulaney; James Caffery Jr.; Rakesh Shukla; Fred R. Beyette Jr.
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Paper Abstract

A weakened portion of an artery in the brain leads to a medical condition known as a cerebral aneurysm. A subarachnoid hemorrhage (SAH) occurs when an aneurysm ruptures. For those individuals suspected of having a 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. Recent studies have indicated nearly 30% of patients with a SAH are initially misdiagnosed. 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 lumbar spine. However, it is also possible for blood to be introduced into the CSF as a result of the spinal tap procedure. Therefore, an effective solution is required to help medical personnel differentiate between the blood that results from a tap and that from a ruptured aneurysm. In this paper, the development of a prototype is described which is sensitive and specific for measuring bilirubin in CSF, hemorrhagic-CSF and CSF-like solutions. To develop this instrument a combination of spectrophotometric analysis, custom data analysis software and other hardware interfaces are assembled that lay the foundation for the development of portable and user-friendly equipment suitable for assisting trained medical personnel with the diagnosis of a ruptured cerebral aneurysm.

Paper Details

Date Published: 2 November 2004
PDF: 12 pages
Proc. SPIE 5558, Applications of Digital Image Processing XXVII, (2 November 2004); doi: 10.1117/12.561136
Show Author Affiliations
Prashant R. Bhadri, Univ. of Cincinnati (United States)
Vasant Anil Salgaonkar, Univ. of Cincinnati (United States)
Anindya Majumdar, Univ. of Cincinnati (United States)
Chad J. Morgan, Univ. of Cincinnati (United States)
Mario Zuccarello, Univ. of Cincinnati (United States)
Gail J. Pyne, Univ. of Cincinnati (United States)
Elizabeth Dulaney, Univ. of Cincinnati (United States)
James Caffery Jr., Univ. of Cincinnati (United States)
Rakesh Shukla, Univ. of Cincinnati (United States)
Fred R. Beyette Jr., Univ. of Cincinnati (United States)


Published in SPIE Proceedings Vol. 5558:
Applications of Digital Image Processing XXVII
Andrew G. Tescher, Editor(s)

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