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Analysis of DICOM Image Compression Alternative Using Huffman Coding

机译:基于霍夫曼编码的DICOM图像压缩方案分析

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摘要

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.
机译:通常,压缩的目的是在不降低原始文件数据质量的情况下减小文件大小。医学数字成像和通信(DICOM)是一种医学成像文件标准,用于存储多种信息,例如患者数据,成像过程和图像本身。随着医学成像在临床诊断中的使用日益增加,需要一种快速安全的方法来在医疗从业者之间共享大量医学图像,并且压缩一直是一种选择。这项工作分析了无损压缩技术之一的霍夫曼编码压缩方法,作为在开放式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较高字节频率分布值的符号提供较少位数的码字。进行了使用不同类型的DICOM图像的实验,并提供了压缩率和压缩/解压缩时间以及安全性方面的性能分析。实验结果表明,霍夫曼编码技术能够将DICOM文件压缩到高达1:3.7010的比例,并节省高达72.98%的空间。

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