Abstract
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 language | English (US) |
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Pages (from-to) | 605-608 |
Number of pages | 4 |
Journal | Magnetic resonance in medicine |
Volume | 49 |
Issue number | 3 |
DOIs | |
State | Published - Mar 1 2003 |
Keywords
- Cancer
- Elastography
- MR tagging
- Magnetic resonance imaging
- Motion detection
- Strain-encoded imaging
ASJC Scopus subject areas
- Radiology Nuclear Medicine and imaging