edoc

Differentiation of femur bone from surrounding soft tissue using laserinduced breakdown spectroscopy as a feedback system for Smart Laserosteotomy

Abbasi, Hamed and Rauter, Georg and Guzman, Raphael and Cattin, Philippe C. and Zam, Azhar. (2018) Differentiation of femur bone from surrounding soft tissue using laserinduced breakdown spectroscopy as a feedback system for Smart Laserosteotomy. In: Proceedings of SPIE, 10685.

[img] PDF - Published Version
548Kb

Official URL: https://edoc.unibas.ch/65176/

Downloads: Statistics Overview

Abstract

Although laserosteotomes have become generally accepted devices in surgical applications, they still suffer from a lack of information about the type of tissue currently being ablated; as a result, critical structures of the body under or near the focal spot of the laser beam are prone to inadvertent ablation. The lack of information about the properties of the ablated tissue can be solved by connecting the laserosteotome to an optical detection setup which can differentiate various types of tissues, especially bone from connective soft tissues. This study examines the applicability of laser-induced breakdown spectroscopy (LIBS) as a potential technique to differentiate bone from surrounding soft tissue (fat and muscle). In this experiment, fresh porcine femur bone, muscle, and fat were used as hard and soft tissue samples. The beam of a nanosecond frequency-doubled Nd:YAG laser was used to ablate the tissue samples and generate the plasma. The plasma light emitted from the ablated spot, which corresponds to the recombination spectra of ionized atoms and molecules, was gathered with a collection optic (including a reflective light collector and a fiber optic) and sent to an Echelle spectrometer for resolving the atomic composition of the ablated sample. Afterwards, Discriminant Function Analysis (DFA) based on the ratio of the intensity of selected peak pairs was performed to classify three sample groups (bone, muscle, and fat). Lastly, the sensitivity, specificity, and accuracy of the proposed method were calculated. Sensitivity and specificity of 100 % and 99 % were achieved, respectively, to differentiate bone from surrounding soft tissue.
Faculties and Departments:03 Faculty of Medicine > Departement Biomedical Engineering
03 Faculty of Medicine > Departement Biomedical Engineering > Imaging and Computational Modelling > Center for medical Image Analysis & Navigation (Cattin)
03 Faculty of Medicine > Departement Biomedical Engineering > Laser and Robotics > Bio-Inspired Robots for Medicine-Lab (Rauter)
03 Faculty of Medicine > Departement Biomedical Engineering > Laser and Robotics > Biomedical Laser and Optics (Zam)
UniBasel Contributors:Abbasi, Hamed and Rauter, Georg and Guzman, Raphael and Cattin, Philippe Claude and Zam, Azhar
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
Publisher:Society of Photo-optical Instrumentation Engineers
Series Name:Progress in biomedical optics and imaging
ISSN:0277-786X
e-ISSN:1996-756X
Note:Publication type according to Uni Basel Research Database: Conference paper
Language:English
Related URLs:
Identification Number:
Last Modified:25 Mar 2019 13:07
Deposited On:11 Oct 2018 12:17

Repository Staff Only: item control page