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Lossless Compression on MRI Images Using SWT.

V Anusuya1, V Srinivasa Raghavan, G Kavitha

  • 1Department of Computer Science and Engineering, P.S.R. Engineering College, Sivakasi, India, pgkrishanu@gmail.com.

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Summary

This study introduces a lossless medical image compression method using stationary wavelet transform and parallel arithmetic coding. The approach efficiently reduces data size for storage and transmission, crucial for telemedicine applications.

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Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Computer Science

Background:

  • Medical image compression is vital for storage and transmission in healthcare and telemedicine.
  • Lossless compression is preferred for medical images due to pixel data importance.
  • Scalability and random access are desirable features for compressed medical data.

Purpose of the Study:

  • To develop an efficient lossless compression codec for 3D medical images.
  • To improve compression ratio (CR) and reduce computation time.
  • To enable random access and scalability for medical image data.

Main Methods:

  • 3D medical images decomposed into 2D slices.
  • 2D-stationary wavelet transform (SWT) applied to slices.
  • Embedded block coding with optimized truncation for coefficient compression.
  • Parallel computing introduced in the arithmetic coding stage.

Main Results:

  • The proposed method achieves efficient lossless compression.
  • Parallel processing significantly minimizes computation time.
  • The compression ratio (CR) demonstrates the method's effectiveness.

Conclusions:

  • The developed lossless codec is efficient for 3D medical image compression.
  • Parallel arithmetic coding enhances performance and reduces processing time.
  • The method supports key features like random access and scalability for medical data.