The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS
Transactions ID Number: 28-718
Full Name: Fariza Hanum Nasaruddin
Position: Senior Lecturer
Age: ON
Sex: Female
Address: Faculty of Computer Science and Information Technology, University Of Malaya
Country: MALAYSIA
Tel: +603-79676342
Tel prefix: +60
Fax: +603-79579249
E-mail address: fariza@um.edu.my
Other E-mails:
Title of the Paper: Development of An Online Image Repository System for Cardiac Modeling
Authors as they appear in the Paper: Fariza Hanum Nasaruddin, Maryam Zakeryfar, Rodina Ahmad
Email addresses of all the authors: fariza@um.edu.my, maryami@perdana.um.edu.my, rodina@um.edu.my
Number of paper pages: 10
Abstract: The development of digital cardiac models has become an area of research all on its own. These researches intend to assist in the understanding of the heart. The data needed to build a digital cardiac model may come in various formats, including medical image data, such as MRI, CT scans, and other scans such as PET and SPECT. The availability of cardiac images is very important in cardiac modeling research. These images are difficult to come by for researchers who are not in the medical field. Thus, any of such available data stored in an on-line system can be made available to other researchers. This paper discusses and elaborates on the design and the development of this on-line cardiac image repository system. The requirement of the system was acquired using the Attribute Driven Design (ADD) method, which is a method for designing software architecture to satisfy both quality requirements and functional requirements. The online system which was developed has !
only taken into consideration image data, and not others formats of cardiac data such as ASCII flat files, and video files. The online system allows for downloading and uploading of data. With the availability of the data, researchers can spend more time focusing on the modeling processes rather than on the preprocessing and searching for data.
Keywords: online repository system, image data, cardiac data, cardiac modeling, attribute driven design, digital heart model
EXTENSION of the file: .pdf
Special (Invited) Session: Online System for Sharing Image Data for Cardiac Modeling
Organizer of the Session: 603-350
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IP ADDRESS: 202.185.107.145
