Table of Contents Author Guidelines Submit a Manuscript
BioMed Research International
Volume 2013, Article ID 236315, 12 pages
Research Article

Nonrigid Image Registration in Digital Subtraction Angiography Using Multilevel B-Spline

Digital Signal Processing Research Laboratory, Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran

Received 10 April 2013; Accepted 29 June 2013

Academic Editor: Venkatesh Mani

Copyright © 2013 Mansour Nejati et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


We address the problem of motion artifact reduction in digital subtraction angiography (DSA) using image registration techniques. Most of registration algorithms proposed for application in DSA, have been designed for peripheral and cerebral angiography images in which we mainly deal with global rigid motions. These algorithms did not yield good results when applied to coronary angiography images because of complex nonrigid motions that exist in this type of angiography images. Multiresolution and iterative algorithms are proposed to cope with this problem, but these algorithms are associated with high computational cost which makes them not acceptable for real-time clinical applications. In this paper we propose a nonrigid image registration algorithm for coronary angiography images that is significantly faster than multiresolution and iterative blocking methods and outperforms competing algorithms evaluated on the same data sets. This algorithm is based on a sparse set of matched feature point pairs and the elastic registration is performed by means of multilevel B-spline image warping. Experimental results with several clinical data sets demonstrate the effectiveness of our approach.