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Please use this identifier to cite or link to this item:
http://hdl.handle.net/1993/4273
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| Title: | Transforming Medical Imaging Applications into Collaborative PACS-based Telemedical Systems |
| Authors: | Maani, Rouzbeh |
| Supervisor: | Arnason, Neil (Computer Science) Camorlinga, Sergio (Computer
Science) |
| Examining Committee: | Walton, Desmond (Computer Science) Hossain, Ekram (Electrical and Computer Engineering) |
| Graduation Date: | October 2010 |
| Keywords: | Telemedicine
Collaborative
PACS
Medical Imaging Applications
DICOM
Parallel
Speedup
three-tier |
| Issue Date: | 13-Oct-2010 |
| Citation: | R. Maani, S. Camorlinga, R. Eskicioglu, "A Remote Real-time PACS-based Platform for Medical Logout MSpace at the University of Manitoba: Remove Item http://mspace.lib.umanitoba.ca/mydspace 1 of 3 10/13/2010 10:09 AM Imaging Telemedicine", SPIE Medical Imaging, vol. 7264, pp. 72640Q- 72640Q-12, Lake Buena Vista - Florida USA, 2009
R. Maani, S. Camorlinga, N. Arnason, R.Eskicioglu,"A Practical Fast Method for Medical Imaging Transmission based on the DICOM Protocol", SPIE Medical Imaging, vol.7628, pp. 76280M-76280M -11, San Diego – California USA, 2010. |
| Abstract: | Many medical imaging applications have been developed so far; however, many of them do not support collaboration and are not remotely accessible (i.e., Telemedicine). Medical imaging applications are not practical for use in clinical workflows unless they are able to communicate with the Picture Archiving and Communications System (PACS).
This thesis presents an approach based on a three-tier architecture and provides several components to transform medical imaging applications into collaborative, PACS-based, telemedical systems.
A novel method is presented to support PACS connectivity. The method is to use the Digital Imaging and COmmunication in Medicine (DICOM) protocol and enhance transmission time by employing a combination of parallelism and compression methods. Experimental results show up to 1.63 speedup over Local Area Networks (LANs) and up to 16.34 speedup over Wide Area Networks (WANs) compared to the current method of medical data transmission. |
| URI: | http://hdl.handle.net/1993/4273 |
| Appears in Collections: | FGS - Electronic Theses & Dissertations (Public)
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