Detecting stiff masses using strain-encoded (SENC) imaging

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28 Scopus citations


A method is proposed for detecting stiff masses using strain-encoded (SENC) magnetic resonance imaging (MRI). An object of interest is compressed to produce local strain distribution that depends on local elasticity, where intensities correlate with the local through-imaging-plane strain component. Because the strain is lower inside a stiff mass than in the surrounding soft tissue, an intensity contrast in the resulting images would enable direct detection of the mass without postprocessing. The technique was validated by a phantom experiment in which a gel phantom with a stiff region was used. The advantages of the proposed method include short imaging time and uncomplicated postprocessing. However, in its current form the technique does not measure elasticity.

Original languageEnglish (US)
Pages (from-to)605-608
Number of pages4
JournalMagnetic resonance in medicine
Issue number3
StatePublished - Mar 1 2003


  • Cancer
  • Elastography
  • MR tagging
  • Magnetic resonance imaging
  • Motion detection
  • Strain-encoded imaging

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging


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