Bone reconstruction and depth control during laser ablation

Uri Nahum, Azhar Zam, Philippe C. Cattin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationComputational Methods and Clinical Applications in Musculoskeletal Imaging - 6th International Workshop, MSKI 2018, Held in Conjunction with MICCAI 2018, Revised Selected Papers
EditorsGuoyan Zheng, Tomaž Vrtovec, Jianhua Yao, Jose M. Pozo
PublisherSpringer Verlag
Pages126-135
Number of pages10
ISBN (Print)9783030111656
DOIs
StatePublished - 2019
Event6th 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 - Granada, Spain
Duration: Sep 16 2018Sep 20 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11404 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th 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
Country/TerritorySpain
CityGranada
Period9/16/189/20/18

Keywords

  • Depth control
  • Inverse problems
  • Laser ablation
  • Optimal control

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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