Published Date:Feb 15 2016
Source:Opt Lett. 41(4):725-728.
Pubmed Central ID:PMC4858317
Funding:DP1 EB016986/EB/NIBIB NIH HHS/United States
DP1-EB016986/DP/NCCDPHP CDC HHS/United States
R01 CA186567/CA/NCI NIH HHS/United States
R01-CA186567/CA/NCI NIH HHS/United States
S10 RR026922/RR/NCRR NIH HHS/United States
S10-RR026922/RR/NCRR NIH HHS/United States
Description:Elastography can noninvasively map the elasticity distribution in biological tissue, which can potentially be used to reveal disease conditions. In this Letter, we have demonstrated photoacoustic elastography by using a linear-array photoacoustic computed tomography system. The feasibility of photoacoustic elastography was first demonstrated by imaging the strains of single-layer and bilayer gelatin phantoms with various stiffness values. The measured strains agreed well with theoretical values, with an average error of less than 5.2%. Next, in vivo photoacoustic elastography was demonstrated on a mouse leg, where the fat and muscle distribution was mapped based on the elasticity contrast. We confirmed the photoacoustic elastography results by ultrasound elastography performed simultaneously.
application/octet-stream image/gif image/jpeg image/gif image/jpeg image/gif image/jpeg image/gif image/jpeg
You May Also Like: