@inproceedings{df05da30fb144cb8a5fd1198a4800aa1,
title = "CUST: CNN for ultrasound thermal image reconstruction using sparse time-of-flight information",
abstract = "Thermotherapy is a clinical procedure to induce a desired biological tissue response through temperature changes. To precisely operate the procedure, temperature monitoring during the treatment is essential. Ultrasound propagation velocity in biological tissue changes as temperature increases. An external ultrasound element was integrated with a bipolar radiofrequency (RF) ablation probe to collect time-of-flight information carried by ultrasound waves going through the ablated tissues. Recovering temperature at the pixel level from the limited information acquired from this minimal setup is an ill-posed problem. Therefore, we propose a learning approach using a designed convolutional neural network. Training and testing were performed with temperature images generated with a computational bioheat model simulating a RF ablation. The reconstructed thermal images were compared with results from another sound velocity reconstruction method. The proposed method showed better stability and accuracy for different ultrasound element locations. Ex-vivo experiments were also performed on porcine liver to evaluate the proposed temperature reconstruction method.",
keywords = "Bipolar ablation, CNN, Hyperthermia, Temperature image reconstruction, Thermotherapy, Ultrasound, Ultrasound thermal monitoring",
author = "Younsu Kim and Chlo{\'e} Audigier and Anas, {Emran M.A.} and Jens Ziegle and Michael Friebe and Boctor, {Emad M.}",
note = "Funding Information: Acknowledgments. This work was supported by the National Institute of Health (R01EB021396) and the National Science Foundation (1653322). Funding Information: This work was supported by the National Institute of Health (R01EB021396) and the National Science Foundation (1653322). Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2018.; International Workshop on Point-of-Care Ultrasound, POCUS 2018, the International Workshop on Bio-Imaging and Visualization for Patient-Customized Simulations, BIVPCS 2017, the International Workshop on Correction of Brainshift with Intra-Operative Ultrasound, CuRIOUS 2018, and the International Workshop on Computational Precision Medicine, CPM 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018 ; Conference date: 16-09-2018 Through 20-09-2018",
year = "2018",
doi = "10.1007/978-3-030-01045-4_4",
language = "English (US)",
isbn = "9783030010447",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "29--37",
editor = "Stephen Aylward and Amber Simpson and Lena Maier-Hein and Anne Martel and Matthieu Chabanas and Tavares, {Jo{\~a}o Manuel} and Ingerid Reinertsen and Zeike Taylor and Yiming Xiao and Keyvan Farahani and Danail Stoyanov and Shuo Li and Hassan Rivaz",
booktitle = "Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation - International Workshops, POCUS 2018, BIVPCS 2018, CuRIOUS 2018, and CPM 2018, Held in Conjunction with MICCAI 2018, Proceedings",
}