A combined hierarchical algorithm of mammograms registration using mutual information and a point based matching approach
by Meryem Loucif; Bornia Tighuiouart
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 29, No. 3, 2019

Abstract: Mammographic image registration is an important process in the comparative analysis of mammograms that aims to correctly interpret them. In this paper, we proposed a combined hierarchical framework for a non-rigid mammograms registration. So, the conjoint use of the multi-resolution and the multigrid hierarchical strategies allows to increase progressively the warp complexity with a fixe size of the manipulated data contributed then to a finest registration with acceptable computing cost. To perform registration process, a hybridisation of an intensity-based registration method using mutual information and a point-based matching approach using the Thin Plate Spline approach is achieved. This hybridisation allows not only to outperform the registration accuracy by using the mutual information as a similarity measure adapted to not similar images but also to decrease the algorithm convergence time. Registration performance has been evaluated by aligning mammograms from the MIAS database and results demonstrate the effectiveness of the proposed algorithm for mammograms registration.

Online publication date: Mon, 04-Feb-2019

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Biomedical Engineering and Technology (IJBET):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com