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Home»Articles»Segmentation of Fused CT and MRI Images with Brain Tumor

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Asian Journal of Science and Applied Technology (AJSAT)

Editor Dr. Balaji Ramachandran
Print ISSN : 2249 - 0698
Frequency : Half-yearly

Segmentation of Fused CT and MRI Images with Brain Tumor

Author : K.Pradeep, S.Balasubramanian, Hemalatha Karnan and K.Karthick Babu
Volume 6 No.1 January-June 2017 pp 1-4

Abstract

This paper proposes an approach for combining two multimodality images [CT and MRI] with tumor cell, helps to delineate the anatomical and physiological differences from one dataset to another using Wavelet transform and its inverse transform. Image fusion is the process that matches two or more image datasets resulting in a single image dataset. There are many fusion processes that can take place at different levels, in this paper focuses on pixel level fusion process, where each pixel from the input images [CT and MRI] are taken as composite input data for further processing. In this project the next proposed step is to segment the tumor using Otsu’s Algorithm. Segmentation process is performed to detect the tumor from all the above three images i.e., CT, MRI and Fused Image by using OTSU’s segmentation algorithm for future comparison. The fused image contains both soft tissue information’s like Tumor and also hard tissues information’s like bones, helpful for physician and doctors to quantify the area of tumor for surgical planning. This paper also reduces the treatment cost to patient where there is no need of separate imaging device to obtain CT/MRI imaging modality.

Keywords

Fusion, Inverse wavelet transform, Otsu’s Algorithm, Segmentation, Wavelet transform.

Full Text:

References

AJSAT is covering all aspects of Science and Applied Technology areas. Topics include, but are not limited to:

Chemistry
Physics
Astronomy
Earth Science
Environmental Science
Biology
Computer Science
Mathematics
Statistics
Systems Science

This paper proposes an approach for combining two multimodality images [CT and MRI] with tumor cell, helps to delineate the anatomical and physiological differences from one dataset to another using Wavelet transform and its inverse transform. Image fusion is the process that matches two or more image datasets resulting in a single image dataset. There are many fusion processes that can take place at different levels, in this paper focuses on pixel level fusion process, where each pixel from the input images [CT and MRI] are taken as composite input data for further processing. In this project the next proposed step is to segment the tumor using Otsu’s Algorithm. Segmentation process is performed to detect the tumor from all the above three images i.e., CT, MRI and Fused Image by using OTSU’s segmentation algorithm for future comparison. The fused image contains both soft tissue information's like Tumor and also hard tissues information's like bones, helpful for physician and doctors to quantify the area of tumor for surgical planning. This paper also reduces the treatment cost to patient where there is no need of separate imaging device to obtain CT/MRI imaging modality.

Editor-in-Chief
Dr. Balaji Ramachandran
Department of Applied Sciences, Nicholls State University, Louisiana, United States
[email protected]
Editorial Advisory Board
Dr. Maamar Benkraouda
Department of Physics, United Arab Emirates University, UAE
[email protected]
Dr. Rasheed Al Hammadi
Department of Biology, United Arab Emirates University, UAE
[email protected]
Dr. Dimitrios P. Nikolelis
Department of Chemistry, University of Athens, Greece
[email protected]
Dr. Fauziah Binti Shahul Hamid
Institute of Biological Sciences, University of Malaya, Malaysia
[email protected]
Dr. Karni S Moshal
Department of Medicine, Alpert Medical School of Brown University, USA
[email protected]
Dr. Koh You Beng
Institute of Mathematical Sciences, University of Malaya, Malaysia
[email protected]
Dr. Lim Sok Li
Institute of Mathematical Sciences, University of Malaya, Malaysia
[email protected]
Dr. Ramesh Kasi
Department of Physics, University of Malaya, Malaysia
[email protected]
Dr. Jasmine Elanie Binti Khairat
Institute of Biological Sciences, University of Malaya, Malaysia
[email protected]
Dr. Nur Airina Binti Muhamad
Institute of Biological Sciences, University of Malaya, Malaysia
[email protected]
Dr. Amizah Malip
Department of Applied Mathematics, University of Malaya, Malaysia
[email protected]
Dr. Azzuliani Binti Supangat
Department of Physics, University of Malaya, Malaysia
[email protected]
Prof. Mohamed Toutounji
Professor, Department of Chemistry, United Arab Emirates University, UAE
[email protected]
Dr. Mohd Azmi Haron
Institute of Mathematical Sciences, University of Malaya, Malaysia
[email protected]
Prof. Noordini Mohamad Salleh
Department of Chemistry, University of Malaya, Malaysia
[email protected]
Dr. Ibrahim Bin Mohamed
Institute of Mathematical Sciences, University of Malaya, Malaysia
[email protected]
Dr. Halijah Ibrahim
Institute of Biological Sciences, University of Malaya, Malaysia
[email protected]
Dr. S. Chandra Kishore
Assistant Professor, University of Information Science and Technology,
“St. Paul The Apostle”, Macedonia, Greece
[email protected]
Dr. Salah Nasri
Department of Physics, United Arab Emirates University, UAE
[email protected]
Dr. Dharini Pathmanathan
Institute of Mathematical Sciences, University of Malaya, Malaysia
[email protected]

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    Editorial Note

    Editorial Dr. Balaji Ramachandran

    Editor-in-Chief
    Dr. Balaji Ramachandran
    Department of Applied Sciences, Nicholls State University, Louisiana, United States
    [email protected]
    Editorial Advisory Board
    Dr. Maamar Benkraouda
    Department of Physics, United Arab Emirates University, UAE
    [email protected]
    Dr. Rasheed Al Hammadi
    Department of Biology, United Arab Emirates University, UAE
    [email protected]
    Dr. Dimitrios P. Nikolelis
    Department of Chemistry, University of Athens, Greece
    [email protected]
    Dr. Fauziah Binti Shahul Hamid
    Institute of Biological Sciences, University of Malaya, Malaysia
    [email protected]
    Dr. Karni S Moshal
    Department of Medicine, Alpert Medical School of Brown University, USA
    [email protected]
    Dr. Koh You Beng
    Institute of Mathematical Sciences, University of Malaya, Malaysia
    [email protected]
    Dr. Lim Sok Li
    Institute of Mathematical Sciences, University of Malaya, Malaysia
    [email protected]
    Dr. Ramesh Kasi
    Department of Physics, University of Malaya, Malaysia
    [email protected]
    Dr. Jasmine Elanie Binti Khairat
    Institute of Biological Sciences, University of Malaya, Malaysia
    [email protected]
    Dr. Nur Airina Binti Muhamad
    Institute of Biological Sciences, University of Malaya, Malaysia
    [email protected]
    Dr. Amizah Malip
    Department of Applied Mathematics, University of Malaya, Malaysia
    [email protected]
    Dr. Azzuliani Binti Supangat
    Department of Physics, University of Malaya, Malaysia
    [email protected]
    Prof. Mohamed Toutounji
    Professor, Department of Chemistry, United Arab Emirates University, UAE
    [email protected]
    Dr. Mohd Azmi Haron
    Institute of Mathematical Sciences, University of Malaya, Malaysia
    [email protected]
    Prof. Noordini Mohamad Salleh
    Department of Chemistry, University of Malaya, Malaysia
    [email protected]
    Dr. Ibrahim Bin Mohamed
    Institute of Mathematical Sciences, University of Malaya, Malaysia
    [email protected]
    Dr. Halijah Ibrahim
    Institute of Biological Sciences, University of Malaya, Malaysia
    [email protected]
    Dr. S. Chandra Kishore
    Assistant Professor, University of Information Science and Technology,
    “St. Paul The Apostle”, Macedonia, Greece
    [email protected]
    Dr. Salah Nasri
    Department of Physics, United Arab Emirates University, UAE
    [email protected]
    Dr. Dharini Pathmanathan
    Institute of Mathematical Sciences, University of Malaya, Malaysia
    [email protected]

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