31. Complex Thresholding Methods for Eliminating Voxels That Contain Predominantly Noise in Magnetic Resonance Images

  1. E. Mark Haacke3,4,5,6,7 and
  2. Jürgen R. Reichenbach8,9
  1. Daniel B. Rowe1,
  2. Jing Jiang2 and
  3. E. Mark Haacke3,4,5,6,7

Published Online: 18 JAN 2011

DOI: 10.1002/9780470905203.ch31

Susceptibility Weighted Imaging in MRI: Basic Concepts and Clinical Applications

Susceptibility Weighted Imaging in MRI: Basic Concepts and Clinical Applications

How to Cite

Rowe, D. B., Jiang, J. and Haacke, E. M. (2011) Complex Thresholding Methods for Eliminating Voxels That Contain Predominantly Noise in Magnetic Resonance Images, in Susceptibility Weighted Imaging in MRI: Basic Concepts and Clinical Applications (eds E. M. Haacke and J. R. Reichenbach), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470905203.ch31

Editor Information

  1. 3

    Department of Radiology, Wayne State University, Detroit, MI, USA

  2. 4

    The MRI Institute for Biomedical Research, Detroit, MI, USA

  3. 5

    Department of Physics, Case Western Reserve University, Cleveland, OH, USA

  4. 6

    Department of Radiology, Loma Linda University, Loma Linda, CA, USA

  5. 7

    School of Biomedical Engineering and Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada

  6. 8

    Medical Physics Group, Department of Diagnostic and Interventional Radiology, Jena University Hospital, Jena, Germany

  7. 9

    Medical Physics Group, Department of Diagnostic and Interventional Radiology, Friedrich Schiller University, Jena, Germany

Author Information

  1. 1

    Center for Imaging Research, Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI, USA

  2. 2

    Department of Computer Science, Wayne State University, Detroit, MI, USA

  3. 3

    Department of Radiology, Wayne State University, Detroit, MI, USA

  4. 4

    The MRI Institute for Biomedical Research, Detroit, MI, USA

  5. 5

    Department of Physics, Case Western Reserve University, Cleveland, OH, USA

  6. 6

    Department of Radiology, Loma Linda University, Loma Linda, CA, USA

  7. 7

    School of Biomedical Engineering and Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada

Publication History

  1. Published Online: 18 JAN 2011
  2. Published Print: 24 JAN 2011

ISBN Information

Print ISBN: 9780470043431

Online ISBN: 9780470905203

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Keywords:

  • complex thresholding methods, voxel elimination - noise removal in magnetic resonance images, improving phase image visualization;
  • MAPHT method, local statistic - measured signal at voxel of interest and its neighbors, defined;
  • magnitude and phase thresholding method, MAPHT method - for simulated and human MRI data, and human brain SWI data

Summary

This chapter contains sections titled:

  • Introduction

  • The CTM Method

  • Connectivity

  • Simulated Data

  • Human Data

  • Concluding Remarks

  • References