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Proceedings Paper

Use of multidimensional, multimodal imaging and PACS to support neurological diagnoses
Author(s): Stephen T. C. Wong; Robert C. Knowlton; Kent Soo Hoo; H. K. Huang
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Paper Abstract

Technological advances in brain imaging have revolutionized diagnosis in neurology and neurological surgery. Major imaging techniques include magnetic resonance imaging (MRI) to visualize structural anatomy, positron emission tomography (PET) to image metabolic function and cerebral blood flow, magnetoencephalography (MEG) to visualize the location of physiologic current sources, and magnetic resonance spectroscopy (MRS) to measure specific biochemicals. Each of these techniques studies different biomedical aspects of the brain, but there lacks an effective means to quantify and correlate the disparate imaging datasets in order to improve clinical decision making processes. This paper describes several techniques developed in a UNIX-based neurodiagnostic workstation to aid the noninvasive presurgical evaluation of epilepsy patients. These techniques include online access to the picture archiving and communication systems (PACS) multimedia archive, coregistration of multimodality image datasets, and correlation and quantitation of structural and functional information contained in the registered images. For illustration, we describe the use of these techniques in a patient case of nonlesional neocortical epilepsy. We also present out future work based on preliminary studies.

Paper Details

Date Published: 24 May 1995
PDF: 12 pages
Proc. SPIE 2433, Medical Imaging 1995: Physiology and Function from Multidimensional Images, (24 May 1995); doi: 10.1117/12.209696
Show Author Affiliations
Stephen T. C. Wong, Univ. of California/San Francisco (United States)
Robert C. Knowlton, Univ. of California/San Francisco (United States)
Kent Soo Hoo, Univ. of California/San Francisco (United States)
H. K. Huang, Univ. of California/San Francisco (United States)


Published in SPIE Proceedings Vol. 2433:
Medical Imaging 1995: Physiology and Function from Multidimensional Images
Eric A. Hoffman, Editor(s)

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