Diffusion Tensor MRI of Human Heart using Wavelet Based Approach
A. Monica1, D. Devarajan2, L. Ramachandran3
1A.Monica, Department of Electronics and Communication, E.G.S Pillay Engineering College, Nagapattinam (Tamil Nadu), India.
2D. Devarajan, Asst. Prof, Department of Electronics and communication, E.G.S Pillay engineering College, Nagapattinam (Tamil Nadu), India.
3L. Ramachandran, Asst. Prof, Department of Electronics and communication, E.G.S Pillay engineering College, Nagapattinam Tamil (Tamil Nadu), India.
Manuscript received on June 02, 2017. | Revised Manuscript received on June 05, 2017. | Manuscript published on June 15, 2017. | PP: 16-19 | Volume-4, Issue-11, June 2017. | Retrieval Number: K10400641117/2017©BEIESP
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© The Authors. Published By: 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: Diffusion tensor MRI of human heart is a promising but challenging technique in the medical field. This work proposed the wavelet based image fusion using MRI images and three-dimensional of the diffusion tensor imaging. Medical image fusion is the idea to improve the image content by fusing images taken from different imaging tools like Magnetic Resonance Imaging (MRI) and three dimensional Diffusion Tensor Imaging (DTI) . Then the ten short axis slices images are taken entire heart using multiple shifted trigger delay under free breathing conditions. Then post processing scheme are used the algorithm based on wavelet based image fusion (WIF) method. Diffusion tensor Magnetic resonance image (MRI) image are fused and better it has been compared with existing method. The proposed of Wavelets are decompose the image into different sub-band images.
Keywords: Diffusion tensor MRI, Wavelet transform, Image fusion, Haar wavelet based fusion.