• DocumentCode
    1558722
  • Title

    Quantization improvement in MRI using dual quantizers

  • Author

    Hamilton, Craig A. ; Santago, Peter

  • Author_Institution
    Dept. of Radiol., Wake Forest Univ., Winston-Salem, NC, USA
  • Volume
    10
  • Issue
    3
  • fYear
    1991
  • fDate
    9/1/1991 12:00:00 AM
  • Firstpage
    387
  • Lastpage
    394
  • Abstract
    The quantization of magnetic resonance imaging (MRI) data can cause information loss due to quantizer/data mismatch. The authors address a method for improved quantization as well as techniques for measuring the improvement in such methods. A dual quantizer scheme is described and simulated which is fast and more accurately quantizes MRI data than conventional methods. The approach is to use two quantizers, one for the high-level data and one for the low-level data. This adaptive, dual quantization scheme is simple and provides significant improvements in image quality, especially for three-dimensional (3-D) acquisition. Results are given which show how well the low frequencies are represented and indicate the increased fidelity of the high-frequency components. These results show a significant improvement in signal-to-noise ratio as well as in detection tasks for both noiseless data and data which include varying amounts of system noise
  • Keywords
    biomedical NMR; data quantization; detection tasks; dual quantizers; high-level data; low-level data; magnetic resonance imaging; medical diagnostic imaging; noiseless data; signal-to-noise ratio; system noise; Dynamic range; Image quality; Imaging phantoms; Liver; Low-frequency noise; Magnetic noise; Magnetic resonance; Magnetic resonance imaging; Quantization; Signal to noise ratio;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/42.97589
  • Filename
    97589