TY - GEN
T1 - Distributed fiber-optic sensors for thermal monitoring in radiofrequency thermal ablation in porcine phantom
AU - Tosi, Daniele
AU - Poeggel, Sven
AU - Leen, Gabriel
AU - Lewis, Elfed
AU - Macchi, Edoardo Gino
AU - Braschi, Giovanni
AU - Gallati, Mario
AU - Cigada, Alfredo
AU - Rossi, Sandro
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/12/12
Y1 - 2014/12/12
N2 - In this paper, we report for the first time the application of two distributed fiber-optic sensing systems in medical radiofrequency thermal ablation (RFTA). Measurement systems are based on a distributed temperature sensor based on high-speed detection of Rayleigh signature, and a linearly chirped fiber Bragg grating (LCFBG) sensor that detects temperature distribution on 1.5 cm length. Both technologies are capable of achieving sub-0.1mm spatial resolution. The sensing systems have been applied to monitor the temperature pattern induced by RFTA, measuring temperature gradients in excess of 5°C/mm. All tests have been performed on porcine liver tissue, the phantom of human liver. The results show the premises for the realization of a distributed sensor installed on a RFTA device, capable of real-time prediction and estimation of the ablation effect.
AB - In this paper, we report for the first time the application of two distributed fiber-optic sensing systems in medical radiofrequency thermal ablation (RFTA). Measurement systems are based on a distributed temperature sensor based on high-speed detection of Rayleigh signature, and a linearly chirped fiber Bragg grating (LCFBG) sensor that detects temperature distribution on 1.5 cm length. Both technologies are capable of achieving sub-0.1mm spatial resolution. The sensing systems have been applied to monitor the temperature pattern induced by RFTA, measuring temperature gradients in excess of 5°C/mm. All tests have been performed on porcine liver tissue, the phantom of human liver. The results show the premises for the realization of a distributed sensor installed on a RFTA device, capable of real-time prediction and estimation of the ablation effect.
KW - Ablation of issue
KW - Distributed sensors
KW - Optical fiber sensors
KW - Radiofrequency thermal ablation (RFTA)
KW - Temperature measurement
UR - http://www.scopus.com/inward/record.url?scp=84931059566&partnerID=8YFLogxK
U2 - 10.1109/ICSENS.2014.6984927
DO - 10.1109/ICSENS.2014.6984927
M3 - Conference contribution
AN - SCOPUS:84931059566
T3 - Proceedings of IEEE Sensors
SP - 39
EP - 42
BT - IEEE SENSORS 2014, Proceedings
A2 - Arregui, Francisco J.
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th IEEE SENSORS Conference, SENSORS 2014
Y2 - 2 November 2014 through 5 November 2014
ER -