Fr. 70.00

Cognitive Supervision for Robot-Assisted Minimally Invasive Laser Surgery

English · Paperback / Softback

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Description

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This thesis lays the groundwork for the automatic supervision of the laser incision process, which aims to complement surgeons' perception of the state of tissues and enhance their control over laser incisions. The research problem is formulated as the estimation of variables that are representative of the state of tissues during laser cutting. Prior research in this area leveraged numerical computation methods that bear a high computational cost and are not straightforward to use in a surgical setting. This book proposes a novel solution to this problem, using models inspired by the ability of experienced surgeons to perform precise and clean laser cutting. It shows that these new models, which were extracted from experimental data using statistical learning techniques, are straightforward to use in a surgical setup, allowing greater precision in laser-based surgical procedures.

List of contents

Introduction.- Background: Laser Technology and Applications to Clinical Surgery.- Cognitive Supervision for Transoral Laser Microsurgery .- Learning the Temperature Dynamics During Thermal Laser Ablation.- Modeling the Laser Ablation Process.- Realization of a Cognitive Supervisory System for Laser Microsurgery.- Conclusions and Future Research Directions.

Summary

This thesis lays the groundwork for the automatic supervision of the laser incision process, which aims to complement surgeons’ perception of the state of tissues and enhance their control over laser incisions. The research problem is formulated as the estimation of variables that are representative of the state of tissues during laser cutting. Prior research in this area leveraged numerical computation methods that bear a high computational cost and are not straightforward to use in a surgical setting. This book proposes a novel solution to this problem, using models inspired by the ability of experienced surgeons to perform precise and clean laser cutting. It shows that these new models, which were extracted from experimental data using statistical learning techniques, are straightforward to use in a surgical setup, allowing greater precision in laser-based surgical procedures.

Product details

Authors Loris Fichera
Publisher Springer, Berlin
 
Languages English
Product format Paperback / Softback
Released 01.01.2018
 
EAN 9783319807812
ISBN 978-3-31-980781-2
No. of pages 99
Dimensions 155 mm x 6 mm x 235 mm
Weight 195 g
Illustrations XIX, 99 p. 62 illus., 38 illus. in color.
Series Springer Theses
Springer Theses
Subjects Natural sciences, medicine, IT, technology > Technology > Miscellaneous

B, Robotics, Surgery, Automation, engineering, surgical techniques, Biomedical Engineering and Bioengineering, Biomedical engineering, Control, Robotics, Automation, Robotics and Automation, minimally invasive surgery, Human–computer interaction, User interface design & usability, User Interfaces and Human Computer Interaction, User interfaces (Computer systems)

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