Engineering and Imaging Basics for Robot-Assisted Minimally Invasive Surgery
- 1st Edition - January 1, 2027
- Latest edition
- Editors: Sanja Dogramadzi, Giulio Dagnino, Dennis Kundrat
- Language: English
Engineering and Imaging Basics for Robot-Assisted Minimally Invasive Surgery covers minimally invasive surgical technology principles, taxonomy, registration, image fusion, p… Read more
Description
Description
Engineering and Imaging Basics for Robot-Assisted Minimally Invasive Surgery covers minimally invasive surgical technology principles, taxonomy, registration, image fusion, planning and navigation, master and slave design characteristics, sensors and actuators, robot control, augmented reality and autonomy, user interfaces, and the use of surgical robots for different surgical applications. The book explains essential concepts using state-of-the-art robots, spanning from ENT to neurosurgery and orthopedic robots. Readers will find underlying principles for modern minimally invasive surgery that will serve as a reference for medical, engineering, and computing students.
It will help MSc and Ph.D. students approaching the field of image-guided surgery and surgical robotics, acting as a tutorial providing useful references for basic concepts and offering a recent update on current research directions.
Key features
Key features
- Covers minimally invasive surgical robot design, components, and devices in one comprehensive source
- Provides a resource that is accessible for readers in multiple areas of study, such as biomedical engineering, computer science, electrical engineering, and mechanical engineering
- Includes the most recent, groundbreaking advances in the surgical robotics field
- Provides technically-oriented material, along with use cases from significant surgical branches that implement minimally invasive approaches
Readership
Readership
Table of contents
Table of contents
2. Imaging for MIS
3. Techniques for imaging in MIS
4. Registration and navigation including examples
5. Teleoperation, Augmented and Virtual Reality for Robotic Surgery
6. Robotic system design and control including autonomy (implementation of control systems in robotic surgery) – technical annex on control fundamentals
7. Instruments design (including continuum robots) and manufacturing (including 3D printing) , calibration, control architectures
8. Force sensing and feedback control
9. Human-Robot Interaction and Ergonomics in MIS
10. Surgical applications and scenarios (colorectal, urology, specific requirements, etc)
11. Review on MIS robotic systems - Commercial and Research Prototypes
12. Ethical Issues in robots for MIS
Product details
Product details
- Edition: 1
- Latest edition
- Published: January 1, 2027
- Language: English
About the editors
About the editors
SD
Sanja Dogramadzi
GD
Giulio Dagnino
Giulio Dagnino is Associate Professor of Medical Robotics at the University of Twente in the Netherlands. He focuses on advancing image guided robotic intervention, particularly in developing MR Safe Devices for targeted therapy. Giulio received his BSc (2004) and MSc (2007) in Bioengineering from the University of Genoa, Italy, followed by a PhD in Medical Robotics from the Italian Institute of Technology 2013 )). His doctoral work centered on novel technologies for robot assisted laser microsurgery. Subsequently, he was postdoc at the Bristol Robotics Laboratory, focusing on robot assisted fracture surgery. In 2017, Giulio joined the Hamlyn Centre for Robotic Surgery at Imperial College London, where he led a team in developing an innovative MRI safe robotic platform for endovascular interventions. This platform underwent successful testing in user studies and in vivo animal trials. Giulio's research contributions have been widely recognized, with numerous publications in esteemed journals (Science Robotics, IEEE TBME and conferences (ICRA, IROS), along with prestigious awards such as the IEEE ICRA Best Paper Award in Medical Robotics (2016) and the Best Design Award in the UK RAS Surgical Robot Challenge (2019). He serves as Associate Editor for the IEEE Transactions on Medical Robotics and
Bionics journal and is Associate Fellow of the UK Higher Education Academy.
DK
Dennis Kundrat
Dennis Kundrat is a principal researcher and Head of Department in Medical Robotics and AI. At the Fraunhofer Research Institution for Individualized and Cell-based Medical Engineering IMTE, Lübeck, Germany, he leads two research groups on surgical AI and training technologies as well as robotics and automation in surgery. He was a senior researcher in Medical Robotics in the Robotics and Mechatronics (RaM) Lab at the University of Twente, The Netherlands and a research associate with the Hamlyn Centre for Robotic Surgery, Imperial College London, U.K., where he paved the way for novel MR-compatible robots for endovascular interventions. Dr. Kundrat graduated with a diploma and doctoral degree from Leibniz Universität Hannover, Germany, with a dissertation on a novel dexterous robotic endoscope. He was a visiting researcher at the Italian Institute of Technology and femto-st, France in the EU project uRALP. His research has been published in top-ranked journals (e.g., IEEE TBME and Science Robotics) and has received the Best Robotic Design Award in the Surgical Robot Challenge. At Hannover Medical School, he pioneered Germany’s first lecture on technology and knowledge transfer. His research interests include medical robotics, surgical navigation and imaging, as well as AI-assisted interventions in preclinical and translational evaluation.