A CORBA-Based Collaborative Work Supported Medical Image Analysis and Visualization System 


Vol. 10,  No. 1, pp. 109-116, Feb.  2003
10.3745/KIPSTD.2003.10.1.109


PDF
  Abstract

In this paper, a CORBA-based collaborative medical image analysis and visualization system, which provides high accessibility and usability of the system for the users on distributed environment is introduced. The system allows us to manage datasets and manipulates medical images such as segmentation and volume visualization of computed geometry from biomedical images in distributed environments. Using Bayesian classification technique and an active contour model the system provides classification results of medical images or boundary information of specific tissue. Based on such information, the system can create real time 3D volume model from medical imagery. Moreover, the developed system supports collaborative work among multiple users using broadcasting and synchronization mechanisms. 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 it executes on.

  Statistics
  Cite this article

[IEEE Style]

J. C. Chun and J. G. Son, "A CORBA-Based Collaborative Work Supported Medical Image Analysis and Visualization System," The KIPS Transactions:PartD, vol. 10, no. 1, pp. 109-116, 2003. DOI: 10.3745/KIPSTD.2003.10.1.109.

[ACM Style]

Jun Chul Chun and Jae Gi Son. 2003. A CORBA-Based Collaborative Work Supported Medical Image Analysis and Visualization System. The KIPS Transactions:PartD, 10, 1, (2003), 109-116. DOI: 10.3745/KIPSTD.2003.10.1.109.

Forms

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)

Old Journals

Indexing

All publications of TKIPS is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.

TKIPS is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).

Related Journals