TY - JOUR
T1 - Intraoperative Speckle Variance Optical Coherence Tomography for Tissue Temperature Monitoring during Cutaneous Laser Therapy
AU - Guo, Shoujing
AU - Wei, Shuwen
AU - Lee, Soohyun
AU - Sheu, Mary
AU - Kang, Sewon
AU - Kang, Jin U.
N1 - Funding Information:
This work was supported in part by the Johns Hopkins Discovery Award and in part by the Johns Hopkins University (JHU) Discovery Program and the pulsed laser used in the experiments was provided by Lutronic Corporation.
Publisher Copyright:
© 2013 IEEE.
PY - 2019
Y1 - 2019
N2 - Background: Tissue temperature monitoring during cutaneous laser therapy can lead to safer and more effective treatments. In this study, we investigate the use of speckle variance optical coherence tomography (svOCT) to monitor real-time temperature changes in the excised human skin tissue sample during laser irradiation. Methods: To accomplish this, we combined the pulse laser system with a reference-based svOCT system. To calibrate the svOCT, the ex-vivo human skin samples from three individuals with tissues collected from the arm, face, and back were heated with 1-degree increments. Additionally, linear regression was used to extract and evaluate the linear relationship between the temperature and normalized speckle variance value. Experiments were conducted on excised human skin sample to monitor the temperature change during laser therapy with a svOCT system. Thermal modeling of ex-vivo human skin was used to numerically simulate the laser-tissue interaction and estimate the thermal diffusion and peak temperature of the tissue during the laser treatment. Results and Conclusion: These results showed that normalized speckle variance had a linear relationship with the tissue temperature before the onset of tissue coagulation (52°) and we were able to measure the rapid increase of the tissue temperature during laser therapy. The result of the experiment is also in good agreement with the numerical simulation result that estimated the laser-induced peak temperature and thermal relaxation time.
AB - Background: Tissue temperature monitoring during cutaneous laser therapy can lead to safer and more effective treatments. In this study, we investigate the use of speckle variance optical coherence tomography (svOCT) to monitor real-time temperature changes in the excised human skin tissue sample during laser irradiation. Methods: To accomplish this, we combined the pulse laser system with a reference-based svOCT system. To calibrate the svOCT, the ex-vivo human skin samples from three individuals with tissues collected from the arm, face, and back were heated with 1-degree increments. Additionally, linear regression was used to extract and evaluate the linear relationship between the temperature and normalized speckle variance value. Experiments were conducted on excised human skin sample to monitor the temperature change during laser therapy with a svOCT system. Thermal modeling of ex-vivo human skin was used to numerically simulate the laser-tissue interaction and estimate the thermal diffusion and peak temperature of the tissue during the laser treatment. Results and Conclusion: These results showed that normalized speckle variance had a linear relationship with the tissue temperature before the onset of tissue coagulation (52°) and we were able to measure the rapid increase of the tissue temperature during laser therapy. The result of the experiment is also in good agreement with the numerical simulation result that estimated the laser-induced peak temperature and thermal relaxation time.
KW - Cutaneous laser therapy
KW - speckle variance OCT
KW - thermal modeling of tissue
KW - tissue temperature monitoring
UR - http://www.scopus.com/inward/record.url?scp=85072777967&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85072777967&partnerID=8YFLogxK
U2 - 10.1109/JTEHM.2019.2943317
DO - 10.1109/JTEHM.2019.2943317
M3 - Article
C2 - 32309052
AN - SCOPUS:85072777967
SN - 2168-2372
VL - 7
JO - IEEE Journal of Translational Engineering in Health and Medicine
JF - IEEE Journal of Translational Engineering in Health and Medicine
M1 - 8848441
ER -