TY - GEN
T1 - A Novel Ultrasound Imaging Method for 2D Temperature Monitoring of Thermal Ablation
AU - Audigier, Chloé
AU - Kim, Younsu
AU - Boctor, Emad
N1 - Publisher Copyright:
© 2017, Springer International Publishing AG.
PY - 2017
Y1 - 2017
N2 - Accurate temperature monitoring is a crucial task that directly affects the safety and effectiveness of thermal ablation procedures. Compared to MRI, ultrasound-based temperature monitoring systems have many advantages, including higher temporal resolution, low cost, safety, mobility and ease of use. However, conventional ultrasound (US) images have a limited accuracy due to a weak temperature sensitivity. As a result, it is more challenging to fully meet the clinical requirements for assessing the completion of ablation therapy. A novel imaging method for temperature monitoring is proposed based on the injection of virtual US pattern in the US brightness mode (B-mode) image coupled with biophysical simulation of heat propagation. This proposed imaging method does not require any hardware extensions to the conventional US B-mode system. The main principle is to establish a bi-directional US communication between the US imaging machine and an active element inserted within the tissue. A virtual pattern can then directly be created into the US B-mode display during the ablation by controlling the timing and amplitude of the US field generated by the active element. Changes of the injected pattern are related to the change of the ablated tissue temperature through the additional knowledge of a biophysical model of heat propagation in the tissue. Those changes are monitored during ablation, generating accurate spatial and temporal temperature maps. We demonstrated in silico the method feasibility and showed experimentally its applicability on a clinical US scanner using ex vivo data. Promising results are achieved: a mean temperature error smaller than 4 ° C was achieved in all the simulation experiments. The system performance is tested under different configurations of noise in the data. The effect of error in the localization of the RFA probe is also evaluated.
AB - Accurate temperature monitoring is a crucial task that directly affects the safety and effectiveness of thermal ablation procedures. Compared to MRI, ultrasound-based temperature monitoring systems have many advantages, including higher temporal resolution, low cost, safety, mobility and ease of use. However, conventional ultrasound (US) images have a limited accuracy due to a weak temperature sensitivity. As a result, it is more challenging to fully meet the clinical requirements for assessing the completion of ablation therapy. A novel imaging method for temperature monitoring is proposed based on the injection of virtual US pattern in the US brightness mode (B-mode) image coupled with biophysical simulation of heat propagation. This proposed imaging method does not require any hardware extensions to the conventional US B-mode system. The main principle is to establish a bi-directional US communication between the US imaging machine and an active element inserted within the tissue. A virtual pattern can then directly be created into the US B-mode display during the ablation by controlling the timing and amplitude of the US field generated by the active element. Changes of the injected pattern are related to the change of the ablated tissue temperature through the additional knowledge of a biophysical model of heat propagation in the tissue. Those changes are monitored during ablation, generating accurate spatial and temporal temperature maps. We demonstrated in silico the method feasibility and showed experimentally its applicability on a clinical US scanner using ex vivo data. Promising results are achieved: a mean temperature error smaller than 4 ° C was achieved in all the simulation experiments. The system performance is tested under different configurations of noise in the data. The effect of error in the localization of the RFA probe is also evaluated.
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U2 - 10.1007/978-3-319-67552-7_19
DO - 10.1007/978-3-319-67552-7_19
M3 - Conference contribution
AN - SCOPUS:85029795664
SN - 9783319675510
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 154
EP - 162
BT - Imaging for Patient-Customized Simulations and Systems for Point-of-Care Ultrasound - International Workshops, BIVPCS 2017 and POCUS 2017 Held in Conjunction with MICCAI 2017, Proceedings
A2 - Cardoso, M. Jorge
A2 - Arbel, Tal
PB - Springer Verlag
T2 - International Workshop on Bio-Imaging and Visualization for Patient-Customized Simulations, BIVPCS 2017 and International Workshop on Point-of-Care Ultrasound: Algorithms, Hardware, and Applications, POCUS 2017 held in Conjunction with 20th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2017
Y2 - 14 September 2017 through 14 September 2017
ER -