Wavelet Transform based CT and PET Lung Image Fusion
M. Chithra Devi
Dr. M. Chithra Devi, Assistant Professor and Head, Department of Information Technology, Annai Vailankanni Arts and Science College Affiliated to Bharathidasan University, Thanjavur (Tamil Nadu), India.
Manuscript received on 16 December 2019 | Revised Manuscript received on 24 December 2019 | Manuscript Published on 31 December 2019 | PP: 57-59 | Volume-9 Issue-1S2 December 2019 | Retrieval Number: A10581291S219/19©BEIESP | DOI: 10.35940/ijeat.A1058.1291S219
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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: The lung cancer reduces the breathing ability and it causes due to uncontrollable cells in the lungs. The fusion of Computed Tomography (CT) and Positron Emission Tomography (PET) has clear information about lungs comparing with individual CT and PET images. The fused image helps to find cancer in a starting stage. In this study, a novel method for fusion of CT and PET lung images using Wavelet Transform (WT) and MaxMin (MM) rule is presented. Initially, the CT and PET lung images are decomposed by WT. The subband coefficients of WT are extracted by using entropy features. Then MM rule is applied, after that the image is reconstructed to form the fused lung image. The performance is evaluated by Reference Image Database to Evaluate therapy Response (RIDER) lung database. Results and discussion shows the performance of Lung Image Fusion (LIF).
Keywords: Lung Image Fusion, Wavelet Transform, Maxmim Rule, RIDER Database.
Scope of the Article: Signal and Image Processing