Abstract
We provide a mathematical analysis of and a numerical framework for full-field optical coherence elastography, which has unique features including micron-scale resolution, realtime processing, and noninvasive imaging. We develop a novel algorithm for transforming volumetric optical images before and after the mechanical solicitation of a sample with subcellular resolution into quantitative shear modulus distributions. This has the potential to improve sensitivities and specificities in the biological and clinical applications of optical coherence tomography.
| Original language | English |
|---|---|
| Pages (from-to) | 1015-1030 |
| Number of pages | 16 |
| Journal | SIAM Journal on Applied Mathematics |
| Volume | 75 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2015 Jan 1 |
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All Science Journal Classification (ASJC) codes
- Applied Mathematics
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Mathematical modeling in full-field optical coherence elastography. / Ammari, Habib; Bretin, Elie; Millien, Pierre; Seppecher, Laurent; Seo, Jin Keun.
In: SIAM Journal on Applied Mathematics, Vol. 75, No. 3, 01.01.2015, p. 1015-1030.Research output: Contribution to journal › Article
TY - JOUR
T1 - Mathematical modeling in full-field optical coherence elastography
AU - Ammari, Habib
AU - Bretin, Elie
AU - Millien, Pierre
AU - Seppecher, Laurent
AU - Seo, Jin Keun
PY - 2015/1/1
Y1 - 2015/1/1
N2 - We provide a mathematical analysis of and a numerical framework for full-field optical coherence elastography, which has unique features including micron-scale resolution, realtime processing, and noninvasive imaging. We develop a novel algorithm for transforming volumetric optical images before and after the mechanical solicitation of a sample with subcellular resolution into quantitative shear modulus distributions. This has the potential to improve sensitivities and specificities in the biological and clinical applications of optical coherence tomography.
AB - We provide a mathematical analysis of and a numerical framework for full-field optical coherence elastography, which has unique features including micron-scale resolution, realtime processing, and noninvasive imaging. We develop a novel algorithm for transforming volumetric optical images before and after the mechanical solicitation of a sample with subcellular resolution into quantitative shear modulus distributions. This has the potential to improve sensitivities and specificities in the biological and clinical applications of optical coherence tomography.
UR - http://www.scopus.com/inward/record.url?scp=84937917841&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84937917841&partnerID=8YFLogxK
U2 - 10.1137/140970409
DO - 10.1137/140970409
M3 - Article
AN - SCOPUS:84937917841
VL - 75
SP - 1015
EP - 1030
JO - SIAM Journal on Applied Mathematics
JF - SIAM Journal on Applied Mathematics
SN - 0036-1399
IS - 3
ER -