Volume 13, Number 4 (3-2017)                   JSDP 2017, 13(4): 79-92 | Back to browse issues page

DOI: 10.18869/acadpub.jsdp.13.4.79

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ZohourParvaz F, Fatemizadeh E, Behnam H. Speed improvement in graph-cuts-based registration for non-rigid image registration of brain magnetic resonance images. JSDP. 2017; 13 (4) :79-92
URL: http://jsdp.rcisp.ac.ir/article-1-252-en.html

Masters Tehran Science and Research Branch, Islamic Azad University
Abstract:   (182 Views)

The procedure of mapping points from one image to corresponding points in another image is called Image Registration. It is a spatial transform. By the nature of the image transformation, image registration can be classified into rigid image registration and non-rigid image registration. One approaches of non-rigid image registration is solving the registration problem as an optimization problem. An example of these methods is the graph-cuts based registration. The basic technique is to construct a specialized graph for the energy function to be minimized such that the minimum cut on the graph also minimizes the energy. Given that the time is one of the critical factors in medical applications, it seems that improvement of this method in terms of run time will be helpful for its clinical and medical applications. In order to achieve this goal, in this research we proposed a method that significantly reduces the run time of registration process. The implementation results of our proposed method on the images with artificial deformations shows that the proposed algorithm is about three times faster than the main algorithm, while the average amount of SAD criterion will be increased from 0.7 to 1.

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Type of Study: Research | Subject: Paper
Received: 2014/06/21 | Accepted: 2016/12/27 | Published: 2017/06/6 | ePublished: 2017/06/6

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