NDLI: A CORBA-based telemedicine system for medical image analysis and modeling

Content Provider	IEEE Xplore Digital Library
Author	Junchul Chun Jaegi Son
Copyright Year	2001
Description	Author affiliation: Dept. of Comput. Sci., Kyonggi Univ., Suwon, South Korea (Junchul Chun)
Abstract	Introduces a CORBA-based medical image analysis and modeling system, which is platform-independent and provides high accessibility and usability of the system for users at remotely located sites. The system allows us to manage data sets and manipulate medical images by methods such as segmentation and volume visualization of computed geometry from biomedical images in distributed environments. Using an active contour model and additive re-projection, the system provides boundary information of specific tissues and real-time rendering of the 3D volume. In addition, it supports collaborative work among multiple users using broadcasting and synchronization mechanisms. For the development of the system, we adopted the DICOM (Digital Images and Communications in Medicine) standard as a method of transferring images and as an associated information device. Since the system is developed using Java and CORBA, which provide distributed programming, the remote clients can access server objects via method invocation, without knowing where the distributed objects reside or what operating system they are executing on.
Sponsorship	IEEE Comput. Soc. Tech. Committee on Computational Med.
Starting Page	53
Ending Page	58
File Size	414183
Page Count	6
File Format	PDF
ISBN	0769510043
ISSN	10637125
DOI	10.1109/CBMS.2001.941697
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-07-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Telemedicine Biomedical imaging Image analysis Usability Environmental management Image segmentation Data visualization Biomedical computing Distributed computing Computational geometry
Content Type	Text
Resource Type	Article
Subject	Radiology, Nuclear Medicine and Imaging Computer Science Applications

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