Enhanced Compression Medical Image Speed for Computed Radiography

Authors

  • Reyadh Mahdi Mustansiriyah University, College of Science, Department of Computer Science, Baghdad, IRAQ
  • Faisal Ghazi Abdiwi Al Mansour University College, Iraq
  • Abd Abrahim Mosslah 1University of Anbar, College of Islamic Science, Anbar, IRAQ

DOI:

https://doi.org/10.31185/wjps.298

Abstract

In recent years, there has been a significant surge in the volume of medical imaging data. This surge poses challenges for the functioning of PACS communication systems and image archiving. The most effective solution to address this issue involves compressing images through digital encryption, which optimally utilizes storage space. This process involves reformatting the imaging data by reducing redundancy, leading to image compression. While this reduction in redundancy is readily apparent in individual images, there is a vulnerability in these methods that tends to overlook a source of repetition present in similar stored images. To emphasize this common occurrence, we introduce the term "redundancy group." Similar images are frequently encountered within medical image databases, resulting in a considerable redundancy reduction.

In this paper, our focus is on enhancing the control of redundancy extraction in the data used, specifically medical images. To enhance the compression efficiency of standard image compression, we employ improved methods, namely MinMax Predictive (MMP) and Min-Max Differential (MMD). Our experiments demonstrate that these methods lead to a substantial enhancement in brain CT compression, with potential improvements of up to 130% when using Huffman coding. Similar improvements are observed in arithmetic coding, with a 94% improvement compared to the number-arithmetic code and a 37% improvement compared to the Lempel-Ziv compression. These improvements occur when combining the MMP technology with the MMD technology, utilizing inverse operations that result in lossless compression.

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Published

2024-06-30

Issue

Section

Computer

How to Cite

Mahdi, R., Ghazi Abdiwi, F. ., & Abrahim Mosslah, A. . (2024). Enhanced Compression Medical Image Speed for Computed Radiography. Wasit Journal for Pure Sciences , 3(2), 146-149. https://doi.org/10.31185/wjps.298