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Image Reconstruction Technique Using Radon Transform

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Technological Advancement in Instrumentation & Human Engineering (ICMER 2021)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 882))

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Abstract

Image reconstruction is a very important processing step in the analysis of medical images. This paper describes the framework of image reconstruction developed using filtered backprojection algorithm based on Radon transform in MATLAB. Acquisition of image data and image pre-processing were conducted to format the images for further analysis of the images. The sample image of CT slice was converted to sinogram by Radon transform and the reconstructed image was generated using filtered backprojection. The simulated results are analyzed and evaluated using image quality assessment methods. The internal structure and main features are shown in the reconstructed image. The image has a Structural Similarity Index (SSIM) value of 0.9839 and a mean-squared error (MSE) value of 0.0002. The reconstruction is precise within the framework of suggested image reconstruction system as the reconstructed image has a high similarity with the original image. The effects of number of projections, varying filters and varying cut-off frequency in the image reconstruction system were studied and analyzed. Further studies can aim at using more advanced filters and interpolation as well as implement other methods or techniques on the presented process.

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Acknowledgements

The author acknowledges CERVIE of UCSI University for the conference fund and deepest gratitude and appreciation toward Wan Zailah Wan Said, Dr. Suzlin N.M. and Prof. Mohamad Tariqul Islam for guiding to accomplish this project.

Author information

Authors and Affiliations

  1. Department of Mechanical and Mechatronic Engineering, Faculty of Engineering, Technology and Built Environment, UCSI University, 56000, Kuala Lumpur, Malaysia

    Teh Chia Ai & Wan Zailah binti Wan Said

  2. Space Science Centre, Institute of Climate Change, Universiti Kebangsaan Malaysia, UKM, Bangi, Selangor, Malaysia

    Norsuzlin Mohd Sahar

  3. Department of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia, UKM, Bangi, Selangor, Malaysia

    Mohammad Tariqul Islam

Authors
  1. Teh Chia Ai
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  2. Wan Zailah binti Wan Said
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  3. Norsuzlin Mohd Sahar
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  4. Mohammad Tariqul Islam
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Corresponding author

Correspondence to Wan Zailah binti Wan Said .

Editor information

Editors and Affiliations

  1. Faculty of Mechanical and Automotive Engineering Technology, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia

    Mohd Hasnun Arif Hassan

  2. Faculty of Mechanical and Automotive Engineering Technology, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia

    Mohd Hafizi Zohari

  3. Faculty of Mechanical and Automotive Engineering Technology, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia

    Kumaran Kadirgama

  4. Faculty of Mechanical and Automotive Engineering Technology, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia

    Nik Abdullah Nik Mohamed

  5. Faculty of Mechanical and Automotive Engineering Technology, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia

    Amir Aziz

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Ai, T.C., binti Wan Said, W.Z., Sahar, N.M., Islam, M.T. (2023). Image Reconstruction Technique Using Radon Transform. In: Hassan, M.H.A., Zohari, M.H., Kadirgama, K., Mohamed, N.A.N., Aziz, A. (eds) Technological Advancement in Instrumentation & Human Engineering. ICMER 2021. Lecture Notes in Electrical Engineering, vol 882. Springer, Singapore. https://doi.org/10.1007/978-981-19-1577-2_55

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  • DOI: https://doi.org/10.1007/978-981-19-1577-2_55

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-1576-5

  • Online ISBN: 978-981-19-1577-2

  • eBook Packages: EngineeringEngineering (R0)

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