Image-Guided Surgery. Fundamentals and Clinical Applications in Otolaryngology

Description

Image-guided surgery (IGS) is the term used for surgical procedures in which the surgeon employs tracked surgical instruments with preoperative orintraoperative images in order to navigate during the procedure. It is part of the wider field of computer-assisted surgery. In the field of otolaryngology, IGS is primarily used by rhinologists during sinus surgery and by skull-base surgeons often in conjunction with neurosurgeons. While widely utilized, surgeons' understanding of the technology is often inadequate to appreciate its strengths and weaknesses.

Image-Guided Surgery: Fundamentals and Clinical Applications in Otolaryngologywas written to overcome this knowledge gap to educate practicing surgeons as well as provide an introduction to the field for engineers. Coauthored by a practicing otolaryngologist with a doctorate in bioengineering and a computer scientist with a doctorate in physics whose career has focused on error analysis in IGS, the book includes chapters on history, CT and MRI, tracking, registration, error analysis, evidence-based practices, FDA-cleared IGS systems, and future applications, as well as more than 90 full-color figures.

The book also comes with a complimentary access to a PluralPlus companion website with videos and animations.

Contents

Introduction
Acknowledgments

Chapter 1. Brief History of Image-Guided Surgery
Chapter 2. CT and MRI
Chapter 3. Tracking Systems
Chapter 4. Registration
Chapter 5. Error Analysis
Chapter 6. Best Practices for Use of IGS
Chapter 7. Surgical Systems
Chapter 8. What Does the Future Hold?

Index

About The Authors

Robert F. Labadie, MD, PhD, a native of Pittsburgh, Pennsylvania, earned his bachelor of science in mechanical engineering from the University of Notre Dame, his doctor of medicine and a doctorate in bioengineering from the University of Pittsburgh, and completed his residency training at UNC-Chapel Hill. He joined the faculty at Vanderbilt University Medical Center in 2001 and completed a master's of management in health care in 2013.

Michael Fitzpatrick, PhD, is professor emeritus of computer science, electrical engineering, computer engineering, radiology, and neurosurgery at Vanderbilt University, where he has served as a member of the faculty since 1982. He is an SPIE fellow and an IEEE fellow, an advisory-board member of theJournal of Medical Imaging, and served for four years as chair of the Image Processing Conference at the annual SPIE International Medical Imaging Symposium.