alexa CT and MRI Brain Images Registration for Clinical Applications
ISSN: 1948-5956

Journal of Cancer Science & Therapy
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Research Article

CT and MRI Brain Images Registration for Clinical Applications

Ayush Dogra* and Manjeet Singh Patterh

Punjabi University, Patiala (Punjab), India

*Corresponding Author:
Ayush Dogra
NH 64, Urban Estate Phase II, Patiala, Punjab 147002, India
Tel: +91 175 304 6598
E-mail: [email protected]; [email protected]

Received date: November 12, 2013; Accepted date: January 20, 2014; Published date: January 29, 2014

Citation: Dogra A, Patterh MS (2014) CT and MRI Brain Images Registration for Clinical Applications. J Cancer Sci Ther 6: 018-026. doi:10.4172/1948-5956.1000243

Copyright: © 2014 Dogra A, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.



Registration is particularly challenging when fusing imagery from different sensors with different resolutions. Ridges are useful geometrical features for image registration. In this paper, first the performance of Gaussian and Butterworth high pass filters is analyzed on sharpening of images, then ridges are detected from CT and MRI brain images by using scale space primal sketch, and finally cross correlate the two 3D CT and MRI volumes for registration. Results are presented on number of images. The visual comparison shows that filters at cutoff frequency 100 MHz shows better quality. The comparative analysis show that Butterworth filter of order four yields more sharper images as compared to Gaussian filter. Finally, visual results after registration of MRI and CT images of the brain are presented, which can be useful in planning certain types of neurosurgical and ENT surgical procedures


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