Department of Information Technology, Faculty of Computer Science and Information Technology, Universitas Sumatera Utara, Medan 20155, Indonesia.
Department of Electrical Engineering, Faculty of Engineering, Universitas Sumatera Utara, Medan 20155, Indonesia.
J Healthc Eng. 2019 Jun 17;2019:5810540. doi: 10.1155/2019/5810540. eCollection 2019.
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.
压缩通常旨在减小文件大小，无论是否降低原始文件的数据质量。数字成像和通信在医学（DICOM）是一种医学成像文件标准，用于存储患者数据、成像过程和图像本身等多种信息。随着医学成像在临床诊断中的应用日益增多，需要有一种快速、安全的方法在医疗保健从业者之间共享大量医学图像，而压缩一直是一种选择。这项工作分析了霍夫曼编码压缩方法，这是一种无损压缩技术，作为在开放的 PACS 设置中压缩 DICOM 文件的替代方法。霍夫曼编码压缩方法的思想是为具有更高字节频率分布值的符号提供位数较少的码字。使用不同类型的 DICOM 图像进行实验，并提供关于压缩比和压缩/解压缩时间以及安全性的性能分析。实验结果表明，霍夫曼编码技术能够将 DICOM 文件压缩至 1：3.7010 的比率，节省高达 72.98%的空间。
