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Auto-shape Lossless Compression of Pharynx and Esophagus Fluoroscopic Images

  • Systems-Level Quality Improvement
  • Published:
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Abstract

The massive number of medical images produced by fluoroscopic and other conventional diagnostic imaging devices demand a considerable amount of space for data storage. This paper proposes an effective method for lossless compression of fluoroscopic images. The main contribution in this paper is the extraction of the regions of interest (ROI) in fluoroscopic images using appropriate shapes. The extracted ROI is then effectively compressed using customized correlation and the combination of Run Length and Huffman coding, to increase compression ratio. The experimental results achieved show that the proposed method is able to improve the compression ratio by 400 % as compared to that of traditional methods.

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Acknowledgments

The authors would like to thank Dr. Sharifah Mastura Syed Abu Bakar (Head Radiology Department), Khatijah Ali (Radiographer) and Mr Ang Kim Liong (Clinical Research Centre) at Serdang Hospital, Malaysia, for their assistance and collaboration in undertaking this work.

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Authors and Affiliations

  1. Faculty of Engineering, Multimedia University, 63100, Cyberjaya, Selangor, Malaysia

    Arif Sameh Arif, Sarina Mansor, Rajasvaran Logeswaran & Hezerul Abdul Karim

  2. Foundation of Technical Education, Institute of Administration Rassafa, Baghdad, Iraq

    Arif Sameh Arif

  3. Asia Pacific University of Technology & Innovation, 57000, Kuala Lumpur, Malaysia

    Rajasvaran Logeswaran

Authors
  1. Arif Sameh Arif
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  2. Sarina Mansor
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  3. Rajasvaran Logeswaran
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  4. Hezerul Abdul Karim
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Corresponding author

Correspondence to Sarina Mansor.

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This article is part of the Topical Collection on Systems-Level Quality Improvement

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Arif, A.S., Mansor, S., Logeswaran, R. et al. Auto-shape Lossless Compression of Pharynx and Esophagus Fluoroscopic Images. J Med Syst 39, 5 (2015). https://doi.org/10.1007/s10916-015-0200-z

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  • DOI: https://doi.org/10.1007/s10916-015-0200-z

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