Development of an online image repository system for cardiac modeling

Authors:
Fariza Hanum Nasaruddin;Maryam Zakeryfar;Rodina Ahmad
Affiliations:
Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia;Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia;Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia
Venue:
WSEAS Transactions on Information Science and Applications
Year:
2009

Citing 7
Cited 1

Introduction to the attribute driven design method

ICSE '01 Proceedings of the 23rd International Conference on Software Engineering
Building Biomechanical Models Based on Medical Image Data: An Assessment of Model Accuracy

MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
4 Dimensional Modelling of the Human Heart

CAIP '95 Proceedings of the 6th International Conference on Computer Analysis of Images and Patterns
Software Architecture in Practice

Software Architecture in Practice
A relational approach to the capture of DICOM files for Grid-enabled medical imaging databases

Proceedings of the 2004 ACM symposium on Applied computing
A database for medical image management

Computer Methods and Programs in Biomedicine
Semantic support for medical image search and retrieval

BIEN '07 Proceedings of the fifth IASTED International Conference: biomedical engineering

Integrating patient information and research data for maxillofacial and craniofacial domain into a single database

WSEAS Transactions on Information Science and Applications

Quantified Score

Hi-index	0.00

Visualization

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.