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Comparative Analysis of MRI-PET Brain Image Fusion Using Discrete Wavelet Transform

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G. Babu,

R. SivakumarAuthors Info & Claims

ICGSP '17: Proceedings of the 1st International Conference on Graphics and Signal Processing

Pages 48 - 54

https://doi.org/10.1145/3121360.3121365

Published: 24 June 2017 Publication History

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Abstract

Medical image fusion involves combining of multimodal sensor images to obtain both the spatial and spectral data to be used by radiologists for the purpose of disease diagnosis, monitoring research. This paper provides a comparative analysis of multiple fusion techniques that can be used to obtain accurate information from the multimodal images. The source images are initially decomposed using Discrete Wavelet Transform (DWT) into low frequency and high frequency components. This paper also provides a comparative study of the different types of DWT techniques available for decomposition. These low and high frequency components are fused using the different fusion rules. Final fused image is obtained by inverse transformation. Various performance parameters are evaluated to compare the fusion rules and rule which provides better result is analyzed. The comparison is done on the basis of which method provides the fused image with more mutual information more mutual information and high peak signal to noise ratio at minimum root mean square error. Conclusion of the comparison provides a better approach to be used for future research.

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Abdallatif MRgibi AAlarbish AAbdaljlil SOshah A(2024)Adaptive Wavelet Techniques for Pattren Analysis2024 IEEE 4th International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA)10.1109/MI-STA61267.2024.10599639(459-464)Online publication date: 19-May-2024
https://doi.org/10.1109/MI-STA61267.2024.10599639
Abdallatif MAlarbish AOshah ARgibi AOshah A(2024)Detection Stroke Using DWT Based Fusion of CT And MRI Images2024 2nd International Conference on Electrical Engineering and Automatic Control (ICEEAC)10.1109/ICEEAC61226.2024.10576221(1-6)Online publication date: 12-May-2024
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Rajagopal SGopal B(2022)Effective and Accurate Diagnosis Using Brain Image FusionResearch Anthology on Improving Medical Imaging Techniques for Analysis and Intervention10.4018/978-1-6684-7544-7.ch050(1000-1020)Online publication date: 9-Sep-2022
https://doi.org/10.4018/978-1-6684-7544-7.ch050
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Index Terms

Comparative Analysis of MRI-PET Brain Image Fusion Using Discrete Wavelet Transform
1. Human-centered computing
  1. Visualization
    1. Empirical studies in visualization

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ICGSP '17: Proceedings of the 1st International Conference on Graphics and Signal Processing

June 2017

127 pages

ISBN:9781450352390

DOI:10.1145/3121360

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Nanyang Technological University
College of Technology Management, National Tsing Hua University, Taiwan

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Published: 24 June 2017

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ICGSP '17: 2017 International Conference on Graphics and Signal Processing

June 24 - 27, 2017

Singapore, Singapore

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Abdallatif MRgibi AAlarbish AAbdaljlil SOshah A(2024)Adaptive Wavelet Techniques for Pattren Analysis2024 IEEE 4th International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA)10.1109/MI-STA61267.2024.10599639(459-464)Online publication date: 19-May-2024
https://doi.org/10.1109/MI-STA61267.2024.10599639
Abdallatif MAlarbish AOshah ARgibi AOshah A(2024)Detection Stroke Using DWT Based Fusion of CT And MRI Images2024 2nd International Conference on Electrical Engineering and Automatic Control (ICEEAC)10.1109/ICEEAC61226.2024.10576221(1-6)Online publication date: 12-May-2024
https://doi.org/10.1109/ICEEAC61226.2024.10576221
Rajagopal SGopal B(2022)Effective and Accurate Diagnosis Using Brain Image FusionResearch Anthology on Improving Medical Imaging Techniques for Analysis and Intervention10.4018/978-1-6684-7544-7.ch050(1000-1020)Online publication date: 9-Sep-2022
https://doi.org/10.4018/978-1-6684-7544-7.ch050
Rajagopal SGopal B(2020)Effective and Accurate Diagnosis Using Brain Image FusionApplications of Deep Learning and Big IoT on Personalized Healthcare Services10.4018/978-1-7998-2101-4.ch012(197-217)Online publication date: 2020
https://doi.org/10.4018/978-1-7998-2101-4.ch012
Latif GIskandar DAlghazo J(2018)Multiclass Brain Tumor Classification using Region Growing based Tumor Segmentation and Ensemble Wavelet FeaturesProceedings of the 2018 International Conference on Computing and Big Data10.1145/3277104.3278311(67-72)Online publication date: 8-Sep-2018
https://dl.acm.org/doi/10.1145/3277104.3278311

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Image Fusion Based on Lifting Wavelet Transform

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