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Please use this identifier to cite or link to this item: http://hdl.handle.net/1812/1018

Title: Tele-collaborative visualization for 3D heart model with paraview
Authors: Lee, Shi Yun
Keywords: Tele-collaborative visualization
Virtual heart model
Issue Date: Jul-2010
Publisher: University Malaya
Abstract: Heart disease is one of the most high risk and frequently occurred diseases these years. Therefore, a three dimensional (3D) Virtual Heart Model is very useful to provide a better understanding of heart’s functionality in order to prevent from heart diseases. However, the large scale dataset of heart model requires high computing processing power for shared visualization through network. This project presented an architecture which enables 3D heart model simulation dataset visualization tasks to be performed efficiently in collaboration environment. All the clients are able to visualize the same outcome as the one carried out by the master surgeon for knowledge sharing and further diagnosis of the problems. The framework proposed briefly constructed by four main portions by using Access Grid (AG), Paraview, OpenMPI, and Paraview-AG Streaming Plugin. Clients only require installing AG and AG plugin to accept streamed-out result from Paraview. Client is able to run a text/voice communication with each others. In Master Client, AG and Paraview with Plugin are required. Whereas, Master Client need to submit job through Paraview to Server and streamed out the rendered results to all AG clients. Server consisted of Paraview and openMPI where the parallel processing started to invoked. While, Computing Nodes is the place where the jobs/tasks have been segregated among nodes and the final processed pieces of data will be centralized at server. In conclusion, the method proposed contributes a low cost and time efficiency development for large scale of dataset visualization especially 3D biomedical modeling. Other than that, the research allowed shared visualization among multiple users. Hence, this Tele-collaborative visualization system is proving to be useful in wide range of medical applications, including application for diagnosis, treatment planning, surgical simulation and medical training.
Description: Dissertation (M.C.S.) -- Faculty of Computer Science & Information Technology, University of Malaya, 2010.
URI: http://dspace.fsktm.um.edu.my/handle/1812/1018
Appears in Collections:Masters Dissertations: Computer Science

Files in This Item:

File Description SizeFormat
02TABLE OF CONTENT.pdfTable of Content7.52 kBAdobe PDFView/Open
10CHAPTER ONE.pdfChapter 1556.82 kBAdobe PDFView/Open
40CHAPTER FOUR.pdfChapter 4262.73 kBAdobe PDFView/Open
BIBLIOGRAPHY_2.pdfBibliography24.01 kBAdobe PDFView/Open
00COVER.pdfCover49.07 kBAdobe PDFView/Open
03LIST OF FIGURES.pdfList of Figures9.72 kBAdobe PDFView/Open
20CHAPTER TWO.pdfChapter 2418.04 kBAdobe PDFView/Open
50CHAPTER FIVE.pdfChapter 5640.38 kBAdobe PDFView/Open
01ABSTRAT&PUBLICATION.pdfAbstract10.35 kBAdobe PDFView/Open
04ACKNOWLEDGEMENT.pdfAcknowledgement4.42 kBAdobe PDFView/Open
30CHAPTER THREE.pdfChapter 3396.04 kBAdobe PDFView/Open
60CHAPTER SIX.pdfChapter 617.62 kBAdobe PDFView/Open

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