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Selected Readings in Vision and Graphics
edited by Luc Van Gool, Gábor Székely, Markus Gross, Bernt Schiele

Volume 50


Christian Wengert

Quantitative Endoscopy

First edition 2008. XXII, 194 pages, € 64,00.
ISBN-10: 3-86628-210-9. ISBN-13: 978-3-86628-210-0


Minimally invasive surgery has become an increasingly important surgical technology during the past years. Such interventions demand pronounced skills from the surgeon in order to cope with the limited freedom to operate and to compensate the loss of depth perception due the use of monoscopic images. In addition, surgical navigation usually relies on intra-operatively acquired radiological images being only possible at the cost of seriously disrupting the surgical workflow and/or exposing the patient and the surgeon to ionizing radiation. Endoscopes, intrinsical components of any minimally invasive interventional approach, are theoretically much more suitable to provide the necessary intra-operative information, in combination with properly adapted pre-operative imaging data. The purpose of this project is to turn an endoscope, which is currently used as simple keyhole to look inside the human body, into an optical imaging device, providing quantitative measurements from the surgical scene. Approaches providing such additional information during endoscopic procedures will be referred to as Quantitative Endoscopy.


About the author:


Christian Wengert obtained his M.Sc. degree in Micro-Engineering from the Ecole Polytechnique Fédérale de Lausanne, Switzerland in 2003. He performed his master thesis in the NavLab at the Robotics Institute from the Carnegie Mellon University in Pittsburgh PA, USA. He joined the Computer Vision Laboratory at the ETH Zürich in 2003 where he worked as a research assistant and PhD student in the field 3D reconstructions from monocular endoscopic image sequences. In 2008, he finished his doctoral thesis "Quantitative Endoscopy" and was awarded a PhD degree (Dr. Sc. tech.) from the ETH Zürich.


Keywords / Schlagwörter:
Quantitative Endoscopy, Endoscopy, Navigation, Referencing, 3D Reconstruction, Tracking, Augmented Reality, Depth Cues


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