Bidaut, L., Pascual-Marqui, R., Delavelle, J. , Naimi, A., Seeck, M., Michel, C., Slosman, D., Ratib, O., Ruefenacht, D., Landis, T., de Tribolet, N., Scherrer, J.-R. and Terrier, F. (1996) Three- to five-dimensional biomedical multisensor imaging for the assessment of neurological (dys)function. Journal of Digital Imaging, 9 (4). pp. 185-198. ISSN 0897-1889
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24169 10.1007.FBF03168617.pdf - Whole Document Restricted to Repository staff only 4MB |
Item Type: | Article |
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Item Status: | Live Archive |
Abstract
This report describes techniques and protocols implemented at the Geneva Canton University Hospitals (HUG) for the combination of various biomedical imaging modalities and sensors including electromagnetic tomography, to study, assess, and localize neurological (dys)function. The interest for this combination stems from the broad variety of information brought out by (functional) magnetic resonance imaging, magnetic resonance spectroscopy, computed tomography, single-photon emission tomography, positron emission tomography, and electromagnetic tomography. Combining these data allows morphology, metabolism, and function to be studied simultaneously, the complementary nature of the information from these modalities becoming evident when studying pathologies reflected by metabolic or electrophysiologic dysfunctions. Compared with other current multimodality approaches, the one at the HUG is totally compatible with both clinical and research protocols, and efficiently addresses the multidimensional registration and visualization issues. It also smoothly integrates electrophysiology and related data as fully featured modalities. © 1996 W.B. Saunders Company.
Keywords: | article, computer assisted emission tomography, computer assisted tomography, computer graphics, diagnostic imaging, human, methodology, neurologic disease, nuclear magnetic resonance imaging, nuclear magnetic resonance spectroscopy, single photon emission computer tomography, Computer Graphics, Humans, Magnetic Resonance Imaging, Magnetic Resonance Spectroscopy, Nervous System Diseases, Tomography, Emission-Computed, Tomography, Emission-Computed, Single-Photon, Tomography, X-Ray Computed, Brain, Computerized tomography, Computers, Electrophysiology, Image sensors, Neurology, Radiology, Sensor data fusion, Electromagnetic tomography, Multisensor medical imaging, Positron emission tomography, Single photon emission tomography, Medical imaging |
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Subjects: | F Physical Sciences > F350 Medical Physics |
Divisions: | College of Science > School of Computer Science |
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ID Code: | 24169 |
Deposited On: | 05 Jul 2017 16:07 |
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