By Topic

Information retrieval technique using tag-info method for digital DICOM X-ray images

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Shapi'i, A. ; Sch. of Inf. Technol., Univ. Kebangsaan Malaysia, Bangi, Malaysia ; Sulaiman, R. ; Satria, A. ; Mohd Kassim, A.Y.

The medical field at present is an example for appropriate innovation in the information technology sector where it can bring benefits to physicians and patients and also the medical tools to prevent disease. Among the examples of innovation in information technology are in the field of medical imaging technology, laser technology, nanotechnology and others. As we know, medical imaging technology is very important because it can help medical experts in conducting research on patients. A medical image is known as DICOM. DICOM format is unique, it is not only contain the image of the patient, but it also contains information related to the patient. This paper will show the development of software to retrieve the information from the digital X-ray image (DICOM) by using tag-info method. This software is then tested with a number of patient data and results showed that the software is able to find the information contained in the patient X-ray images accurately.

Published in:

Biomedical Engineering (ICoBE), 2012 International Conference on

Date of Conference:

27-28 Feb. 2012