A Least-Squares Strain Estimator for Elastography
Keyword(s):
A least-squares strain estimator (LSQSE) for elastography is proposed. It is shown that with such an estimator, the signal-to-noise ratio in an elastogram ( SNRe) is significantly improved. This improvement is illustrated theoretically using a modified strain filter and experimentally using a homogeneous gel phantom. It is demonstrated that the LSQSE results in an increase of the elastographic sensitivity (smallest strain that could be detected), thereby increasing the strain dynamic range. Using simulated data, it is shown that a tradeoff exists between the improvement in SNRe and the reduction of strain contrast and spatial resolution.
2012 ◽
Vol 29
(12)
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pp. 1744-1756
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2020 ◽
Vol 2020
(7)
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pp. 143-1-143-6
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2002 ◽
Vol 47
(4)
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pp. 687-695
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2013 ◽
Vol 72
(2)
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pp. 418-429
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2020 ◽
Vol 9
(4)
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pp. 1217-1222
1998 ◽
Vol 189
(1)
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pp. 15-24
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