By Topic

Iterative image deblurring approach for coronary artery enhancement in MRI image

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
$33 $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)
G. Sainarayanan ; AI Research Group, School of Engineering and Information Technology, Universiti Malaysia Sabah, 88999 Kota Kinabalu, Malaysia ; R. Nagarajan ; Chelvam Dasaratha Raman ; M. Phanindranath

This paper outlines the digital image enhancement techniques applied on cardiac Magnetic Resonance Images (MRI). The work is highly motivated by need to process the images after its acquisition which causes blurriness. Blur in cardiac images are mainly caused by motion artifact of the heart. Current methods of MRI diagnosing of cardiac artery are ineffective. The conventional method of angiography is an invasive, expensive and requires general hospitalization. Therefore the main aim of this research is focusing on the possibilities of applying MRI as a non invasive effective method to detect coronary artery disease (CAD). This paper mainly focuses on the application of Blind Deconvolution algorithm and Simulated annealing algorithm applied to deblur the cardiac MRI images. The later was proposed in this work and has better convergence towards obtaining better undisturbed images.

Published in:

Computers, Communications, & Signal Processing with Special Track on Biomedical Engineering, 2005. CCSP 2005. 1st International Conference on

Date of Conference:

14-16 Nov. 2005