An Efficient MRI Brain Image Registration and Wavelet Based Fusion
Vidhya K1, Mala C Patil2, Siddanagouda S Patil3
1Vidhya K, Research Scholar Department of Computer Science and Engineering VTU RRC Belgaum.
2Dr. Mala C Patil, Department Of Computer Science, University Of Horticultural Sciences, Bagalkot.
3Dr. Siddanagouda S Patil, Department Of Computer Science and Engineering, UAS GKVK, Bangluru
Manuscript received on November 12, 2019. | Revised Manuscript received on November 24 2019. | Manuscript published on 30 November, 2019. | PP: 10209-10218 | Volume-8 Issue-4, November 2019. | Retrieval Number: B3490078219/2019©BEIESP | DOI: 10.35940/ijrte.B3490.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Over last few decades, 3D reconstruction of medical images becomes advance technique in medical image processing. Reconstruction of 2D images of such data sets into 3D volumes, via registration of 2D sections had become a most interesting topic. In current years, MRI has been used for many medical analysis applications. The proposed system considered MRI images are taken from the same view, different times or acquired by different imaging modalities to increase the information. T1, T2 and PD MRI are taken as an input; T2 image is registered with a reference of T1 image using affine transformation, the registered T2 image is fused with T1 using DWT. The Fused T1T2 image is taken as reference image to register PD image using B-Spline transformation. DT-CWT technique is used to fuse the T1T2 image with registered PD image. The performance of the system shows that the proposed system gives more information by fusing T1T2PD images.
Keywords: Affine Transformation, B-Spline Transformation, DWT (Discrete Wavelet Transformation), DT-CWT (Dual Tree- Continuous Wavelet Transformation), MRI (Magnetic Resonance Image), T1, T2 And Proton Density (PD) Image, MI (Mutual Information).
Scope of the Article: Information-Centric Networking.