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A method of using telemedicine information systems and numerical simulation for the diagnosis of rupture area in cerebral aneurysm

A method of using telemedicine information systems and numerical simulation for the diagnosis of... As highly integrated distributed networks become a reality, there are a variety of demands on the quality of healthcare service such as decentralised healthcare through integrated regional health telematics network, ubiquitous access to information on best clinical practices and exploitation of virtual environments technology. The purpose of this paper is twofold. Firstly, distributed information architecture to achieve telemedicine is proposed to handle difference in geographic location of patient, caregiver and medical equipment. Secondly, a numerical simulation is performed for the diagnosis of a patient's intracranial blood flow using a Computational Fluid Dynamics (CFD) technique-based on patient-specific Magnetic Resonance Angiography (MRA) data. Integration and distribution of the MRA data from the database system of the Wayne State University Radiology Department were conducted over the information architecture presented in this paper. The simulation results are accessed by medical experts in a remote site for the purpose of diagnosis and/or medical training. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Services Operations and Informatics Inderscience Publishers

A method of using telemedicine information systems and numerical simulation for the diagnosis of rupture area in cerebral aneurysm

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1741-539X
eISSN
1741-5403
Publisher site
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Abstract

As highly integrated distributed networks become a reality, there are a variety of demands on the quality of healthcare service such as decentralised healthcare through integrated regional health telematics network, ubiquitous access to information on best clinical practices and exploitation of virtual environments technology. The purpose of this paper is twofold. Firstly, distributed information architecture to achieve telemedicine is proposed to handle difference in geographic location of patient, caregiver and medical equipment. Secondly, a numerical simulation is performed for the diagnosis of a patient's intracranial blood flow using a Computational Fluid Dynamics (CFD) technique-based on patient-specific Magnetic Resonance Angiography (MRA) data. Integration and distribution of the MRA data from the database system of the Wayne State University Radiology Department were conducted over the information architecture presented in this paper. The simulation results are accessed by medical experts in a remote site for the purpose of diagnosis and/or medical training.

Journal

International Journal of Services Operations and InformaticsInderscience Publishers

Published: Jan 1, 2007

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