TY - JOUR
T1 - Tilted Fiber Bragg Grating Measurements During Laser Ablation of Hepatic Tissues
T2 - Quasi-Distributed Temperature Reconstruction and Cladding Mode Resonances Analysis
AU - Korganbayev, Sanzhar
AU - De Landro, Martina
AU - Wolf, Alexey
AU - Tosi, Daniele
AU - Saccomandi, Paola
N1 - Funding Information:
This work was supported in part by the European Research Council (ERC) under the European Union s Horizon 2020 Research and Innovation Program under Grant 759159 and in part by the Fondazione Cariplo under Grant 2017-2075. The work of Alexey Wolf was supported by the State Budget of the Russian Federation through the IA&E SB RAS Project under Grant 121030500067- 5. The work of Daniele Tosi was supported by Nazarbayev University through SMARTER and EPICGuide under Grant 091019CRP2117 and Grant 240919FD3908.
Publisher Copyright:
© 2001-2012 IEEE.
PY - 2022/8/15
Y1 - 2022/8/15
N2 - In this work, we investigate the application of tilted fiber Bragg grating (TFBG) sensors during ex vivo laser ablation of porcine hepatic tissues. Initially, TFBG's ability to measure the surrounding refractive index (RI) for different sucrose concentrations and the possibility to measure the RI of the targeted tissue during laser ablation (LA) is analyzed. After, the temperature sensing modality of TFBG is investigated in detail. We have implemented an algorithm for quasi-distributed spatial temperature profile reconstruction along TFBG. The algorithm models the TFBG core mode spectrum as a chain of Bragg gratings (each Bragg grating is modeled via coupled mode theory), where each grating is sensitive to local temperature changes. After, the Gaussian-shape temperature profile along the TFBG is reconstructed using the iterative optimization technique. Temperature measurements have been compared with highly-dense FBG array measurements and with conventional TFBG point temperature measurements based on the core mode tracking techniques (maximum tracking, X-dB Bandwidth, centroid methods). Overall, the proposed reconstruction algorithm is able to provide a quasi-distributed temperature profile along TFBG, which is not possible to obtain using conventional point temperature measurements based on the TFBG's core mode tracking. The resulted root-mean-square error in comparison to FBG array reference measurements is 7.8±1.7 °C. In general, the results show that the main reliable sensing modality of TFBG during LA is temperature monitoring, which can be significantly improved by the proposed algorithm.
AB - In this work, we investigate the application of tilted fiber Bragg grating (TFBG) sensors during ex vivo laser ablation of porcine hepatic tissues. Initially, TFBG's ability to measure the surrounding refractive index (RI) for different sucrose concentrations and the possibility to measure the RI of the targeted tissue during laser ablation (LA) is analyzed. After, the temperature sensing modality of TFBG is investigated in detail. We have implemented an algorithm for quasi-distributed spatial temperature profile reconstruction along TFBG. The algorithm models the TFBG core mode spectrum as a chain of Bragg gratings (each Bragg grating is modeled via coupled mode theory), where each grating is sensitive to local temperature changes. After, the Gaussian-shape temperature profile along the TFBG is reconstructed using the iterative optimization technique. Temperature measurements have been compared with highly-dense FBG array measurements and with conventional TFBG point temperature measurements based on the core mode tracking techniques (maximum tracking, X-dB Bandwidth, centroid methods). Overall, the proposed reconstruction algorithm is able to provide a quasi-distributed temperature profile along TFBG, which is not possible to obtain using conventional point temperature measurements based on the TFBG's core mode tracking. The resulted root-mean-square error in comparison to FBG array reference measurements is 7.8±1.7 °C. In general, the results show that the main reliable sensing modality of TFBG during LA is temperature monitoring, which can be significantly improved by the proposed algorithm.
KW - Laser ablation
KW - optical fiber sensors
KW - refractive index sensing
KW - temperature monitoring
KW - thermal treatment
KW - tilted fiber Bragg grating
UR - http://www.scopus.com/inward/record.url?scp=85134289348&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85134289348&partnerID=8YFLogxK
U2 - 10.1109/JSEN.2022.3189153
DO - 10.1109/JSEN.2022.3189153
M3 - Article
AN - SCOPUS:85134289348
SN - 1530-437X
VL - 22
SP - 15999
EP - 16007
JO - IEEE Sensors Journal
JF - IEEE Sensors Journal
IS - 16
ER -