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3D Ultrasound Imaging: Fast and Cost-effective Morphometry of Musculoskeletal Tissue
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Lossless medical image compression using geometry-adaptive partitioning and least square-based prediction.

Xiaoying Song1,2, Qijun Huang3, Sheng Chang2

  • 1Engineering Research Center of Metallurgical Automation and Measurement Technology, Wuhan University of Science and Technology, Wuhan, Hubei, 430081, China.

Medical & Biological Engineering & Computing
|November 7, 2017
PubMed
Summary

This study introduces an efficient algorithm for lossless medical image compression using irregular segmentation and region-based prediction. The novel method significantly improves compression rates compared to existing standards like JPEG 2000.

Keywords:
Adaptive block-based segmentationGeometry-adaptive partitioningLeast square-based predictionLossless compressionMedical image

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Area of Science:

  • Medical Imaging
  • Computer Science
  • Image Processing

Background:

  • Lossless compression of medical images is crucial for diagnostic accuracy and data storage.
  • Existing compression algorithms face challenges in optimizing compression rates for diverse medical image structures.

Purpose of the Study:

  • To develop an efficient algorithm for lossless compression of medical images.
  • To enhance compression rates by utilizing irregular segmentation and region-based prediction.

Main Methods:

  • A hybrid segmentation method combining geometry-adaptive and quadtree partitioning for adaptive irregular segmentation.
  • Design of adaptive least square (LS)-based predictors for each segmented region.
  • Exploitation of spatial pixel correlation and local structure similarity.

Main Results:

  • The proposed algorithm achieved superior compression performance.
  • Average compression improvements of 10.48% over JPEG 2000, 4.86% over CALIC, 3.58% over EDP, and 0.10% over JPEG-LS.

Conclusions:

  • The proposed adaptive irregular segmentation and region-based prediction algorithm offers significant improvements in lossless medical image compression.
  • This method effectively balances compression efficiency with the preservation of image data integrity.