Parameters and Filters for Low Bit Rate Wavelet Packet Compression of Magnetic Resonance Images

Abstract

We present an analysis of the characteristics of different filters for the compression of magnetic resonance images. Compression rates were 33:1 and 50:1, We compare the performance among different types of wavelets presented in the literature and provide quantitative (percentage of energy retained, peak signal to noise ratio) and qualitative (analysis by a group of seven experts) data to support our conclusions, Different types of coiflets, symlets and biorthogonal wavelets are analyzed, and we conclude that for the images under study (T1 weighed images in three planes), the best results are provided by the biorthogonal spline (Daubechies) wavelet 2,6. Several explanations for these results are mentioned,

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA412043

Entities

People

  • J. Azpiroz-leehan
  • J. F. Lerallut

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Analysis Of Variance
  • Artifacts
  • Compression
  • Compression Ratio
  • Data Science
  • Electrical Engineering
  • Engineering
  • Image Compression
  • Image Processing
  • Information Processing
  • Information Science
  • Magnetic Resonance
  • Military Research
  • Modal Analysis
  • Statistical Analysis
  • Symmetry

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Image Processing and Computer Vision.
  • Quantum spin resonance or Electron Paramagnetic Resonance spectroscopy.