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Analysis of DICOM Image Compression Alternative Using Huffman Coding
Joint Authors
Budiarto, Rahmat
Rahmat, Romi Fadillah
Andreas, T. S. M.
Fahmi, Fahmi
Pasha, Muhammad Fermi
Alzahrani, Mohammed Yahya
Source
Journal of Healthcare Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-06-17
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Compression, in general, aims to reduce file size, with or without decreasing data quality of the original file.
Digital Imaging and Communication in Medicine (DICOM) is a medical imaging file standard used to store multiple information such as patient data, imaging procedures, and the image itself.
With the rising usage of medical imaging in clinical diagnosis, there is a need for a fast and secure method to share large number of medical images between healthcare practitioners, and compression has always been an option.
This work analyses the Huffman coding compression method, one of the lossless compression techniques, as an alternative method to compress a DICOM file in open PACS settings.
The idea of the Huffman coding compression method is to provide codeword with less number of bits for the symbol that has a higher value of byte frequency distribution.
Experiments using different type of DICOM images are conducted, and the analysis on the performances in terms of compression ratio and compression/decompression time, as well as security, is provided.
The experimental results showed that the Huffman coding technique has the capability to compress the DICOM file up to 1 : 3.7010 ratio and up to 72.98% space savings.
American Psychological Association (APA)
Rahmat, Romi Fadillah& Andreas, T. S. M.& Fahmi, Fahmi& Pasha, Muhammad Fermi& Alzahrani, Mohammed Yahya& Budiarto, Rahmat. 2019. Analysis of DICOM Image Compression Alternative Using Huffman Coding. Journal of Healthcare Engineering،Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1175270
Modern Language Association (MLA)
Rahmat, Romi Fadillah…[et al.]. Analysis of DICOM Image Compression Alternative Using Huffman Coding. Journal of Healthcare Engineering No. 2019 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-1175270
American Medical Association (AMA)
Rahmat, Romi Fadillah& Andreas, T. S. M.& Fahmi, Fahmi& Pasha, Muhammad Fermi& Alzahrani, Mohammed Yahya& Budiarto, Rahmat. Analysis of DICOM Image Compression Alternative Using Huffman Coding. Journal of Healthcare Engineering. 2019. Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1175270
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175270