Noise reduction for T2 derived magnetic resonance images

E. Loren Buhle, Peter Bloch, Robert E. Lenkinski

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

Calculation of magnetic resonance images composed of signals arising from T2 and proton densities can be performed using a least squares fitting procedure from three or four multiple spin-echo images. This procedure works well in regions of high signal-to-noise (S/N) in the multiple spin-echoes. Erroneous T2 values predominate in regions of low S/N, precluding the routine use of T2 images in diagnostic and quantitative analysis. This study demonstrates that only three spin-echoes signals (TE = 20, 40, and 60 msec) and a simple preprocessing selection criteria are necessary to significantly reduce erroneous T2 values. This simple selection criteria obviates the need to apply a median filter to the T2 image and thus preserve both the high inherent contrast and spatial resolution of the T2 derived image.

Original languageEnglish (US)
Pages (from-to)185-190
Number of pages6
JournalComputerized Medical Imaging and Graphics
Volume14
Issue number3
DOIs
StatePublished - Jan 1 1990

Keywords

  • Image processing
  • MRI diagnostics
  • MRI imaging
  • T imaging
  • Tumor quantitation

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Computer Vision and Pattern Recognition
  • Health Informatics
  • Computer Graphics and Computer-Aided Design

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