@inproceedings{21c13fdf69fa498583ef198a8c63fccd,
title = "Bone reconstruction and depth control during laser ablation",
abstract = "Cutting bones using laser light has been studied by several groups over the last decades. Yet, the risk of cutting nerves or soft tissues behind the bone is still an untackled problem. When performing tissue ablation such as bone, an acoustic signal is emitted. This paper presents a numerical framework that takes advantage of this acoustic signal to reconstruct not only the structure of the bone but also estimates the current cut position and depth. We employ an inverse problems approach to estimate the bone structure followed by an optimal control step to localize the position and depth of the signal source, i.e. the position of the cut. Besides the methodological description we also present numerical simulations in two dimensions with realistic mixed soft- and hard-tissue objects.",
keywords = "Depth control, Inverse problems, Laser ablation, Optimal control",
author = "Uri Nahum and Azhar Zam and Cattin, {Philippe C.}",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; 6th International Workshop on Computational Methods and Clinical Applications in Musculoskeletal Imaging, MSKI 2018 was held in conjunction with Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018 ; Conference date: 16-09-2018 Through 20-09-2018",
year = "2019",
doi = "10.1007/978-3-030-11166-3_11",
language = "English (US)",
isbn = "9783030111656",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "126--135",
editor = "Guoyan Zheng and Toma{\v z} Vrtovec and Jianhua Yao and Pozo, {Jose M.}",
booktitle = "Computational Methods and Clinical Applications in Musculoskeletal Imaging - 6th International Workshop, MSKI 2018, Held in Conjunction with MICCAI 2018, Revised Selected Papers",
}