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Auto-shape Lossless Compression of Pharynx and Esophagus Fluoroscopic Images


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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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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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).

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  • Fluoroscopic medical images
  • ROI
  • Lossless image compression
  • Run-length Coding
  • Huffman coding
  • Correlation