TY - GEN
T1 - Feasibility of Spectra-Based Quantification Algorithm for Non-Linear Photoacoustic Contrast Agents
AU - Serebrennikova, Liudmila
AU - Gao, Shang
AU - Murakami, Ryo
AU - Boinapally, Srikanth
AU - Ray, Sangeeta
AU - Pomper, Martin G.
AU - Zhang, Haichong K.
N1 - Publisher Copyright:
© 2023 SPIE.
PY - 2023
Y1 - 2023
N2 - Photoacoustic (PA) imaging is a technique that visualizes the optical absorption characteristics with ultrasound-like spatial resolution. It has been demonstrated that molecular targeted contrast agents (CAs) have great potential in applying to the early detection of tumor. These CAs attach to the tissues of the subject of interest, i.e., the cancerous cells, and emit PA signals based on the absorbed light. Precise quantification of the CA expression is desired to identify the degree of the malignancies. The current quantification of the CA expression is based on the strength of the PA intensity with the assumption of its linearity between them. However, the estimation accuracy of such a method is limited because the PA intensity is affected by many factors including the light, sound, and tissue interactions and the use of CAs that do not present linearity. Here, we investigate a robust quantification method by using the spectroscopic relationship between the dye concentration and its corresponding PA variation. We introduce a spectroscopic decomposition algorithm considering multiple reference spectra to accommodate the non-linear behavior of sample concentrations. The in vitro validation of the concept was performed using the synthesized PA CA possessing the non-linear property. The concentration of the samples was successfully estimated with the algorithm. The introduced method improved the quantification accuracy by reducing the averaging estimation error from 15.89 μM to 1.80 μM, compared with the conventional estimation.
AB - Photoacoustic (PA) imaging is a technique that visualizes the optical absorption characteristics with ultrasound-like spatial resolution. It has been demonstrated that molecular targeted contrast agents (CAs) have great potential in applying to the early detection of tumor. These CAs attach to the tissues of the subject of interest, i.e., the cancerous cells, and emit PA signals based on the absorbed light. Precise quantification of the CA expression is desired to identify the degree of the malignancies. The current quantification of the CA expression is based on the strength of the PA intensity with the assumption of its linearity between them. However, the estimation accuracy of such a method is limited because the PA intensity is affected by many factors including the light, sound, and tissue interactions and the use of CAs that do not present linearity. Here, we investigate a robust quantification method by using the spectroscopic relationship between the dye concentration and its corresponding PA variation. We introduce a spectroscopic decomposition algorithm considering multiple reference spectra to accommodate the non-linear behavior of sample concentrations. The in vitro validation of the concept was performed using the synthesized PA CA possessing the non-linear property. The concentration of the samples was successfully estimated with the algorithm. The introduced method improved the quantification accuracy by reducing the averaging estimation error from 15.89 μM to 1.80 μM, compared with the conventional estimation.
KW - Contrast Agent
KW - Photoacoustic imaging
KW - Quantitative imaging
KW - Spectroscopic Decomposition
UR - http://www.scopus.com/inward/record.url?scp=85158947715&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85158947715&partnerID=8YFLogxK
U2 - 10.1117/12.2650607
DO - 10.1117/12.2650607
M3 - Conference contribution
AN - SCOPUS:85158947715
T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
BT - Photons Plus Ultrasound
A2 - Oraevsky, Alexander A.
A2 - Wang, Lihong V.
PB - SPIE
T2 - Photons Plus Ultrasound: Imaging and Sensing 2023
Y2 - 29 January 2023 through 1 February 2023
ER -