Detecting stiff masses using strain-encoded (SENC) imaging

32Citations
Citations of this article
39Readers
Mendeley users who have this article in their library.
Get full text

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. © 2003 Wiley-Liss, Inc.

Cite

CITATION STYLE

APA

Osman, N. F. (2003). Detecting stiff masses using strain-encoded (SENC) imaging. Magnetic Resonance in Medicine, 49(3), 605–608. https://doi.org/10.1002/mrm.10376

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free