scholarly journals Image registration using the Morphon algorithm: an ITK implementation

2009 ◽  
Author(s):  
Jerome Plumat ◽  
Mats Andersson ◽  
Guillaume Janssens ◽  
Jonathan Orban de Xivry ◽  
Hans Knutsson ◽  
...  

Medical image registration is becoming a more and more useful component of a large number of applications. The presented method aims to enrich the ITK library. This method, called Morphon registration algorithm, computes a dense deformation field accepting inputs from different intensity contrasts. This article presents its implementation within the Insight Toolkit. In this paper, we provide a brief description of the algorithm, a presentation of the implementation, the justification of our modified classes and the results given by the algorithm. We demonstrate the algorithm in application of different images intesity constrasts and dimensions.

2013 ◽  
Vol 462-463 ◽  
pp. 267-273 ◽  
Author(s):  
Wei Wei ◽  
Wei Lin ◽  
Liang Liu ◽  
Zhong Qin Hu

Object: To optimize the rigidity registration algorithm between X-ray fluoroscopy and CT, and improve the accuracy of registration. Method: By changing the transmission parameters of the ray tracing, it can obtain the original DRR images and the float DRR image for registration. In trials, it uses ant colony algorithm as the optimized search strategy and Mutual information as the similarity measure. Result: ant colony algorithm and the improved ant colony algorithm compared to the classic Powell algorithm to improve the accuracy of registration about 10% and 20%, achieved good results. Conclusion: Ant Colony Algorithm as optimization search strategy can effectively solve the local minima problem in 2D-3D medical image registration, and further improve the accuracy of registration.


2000 ◽  
Author(s):  
Matthew J. Clarkson ◽  
Daniel Rueckert ◽  
Derek L. Hill ◽  
David J. Hawkes

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