Paper
19 February 2008 Augmented reality in surgical procedures
E. Samset, D. Schmalstieg, J. Vander Sloten, A. Freudenthal, J. Declerck, S. Casciaro, Ø. Rideng, B. Gersak
Author Affiliations +
Proceedings Volume 6806, Human Vision and Electronic Imaging XIII; 68060K (2008) https://doi.org/10.1117/12.784155
Event: Electronic Imaging, 2008, San Jose, California, United States
Abstract
Minimally invasive therapy (MIT) is one of the most important trends in modern medicine. It includes a wide range of therapies in videoscopic surgery and interventional radiology and is performed through small incisions. It reduces hospital stay-time by allowing faster recovery and offers substantially improved cost-effectiveness for the hospital and the society. However, the introduction of MIT has also led to new problems. The manipulation of structures within the body through small incisions reduces dexterity and tactile feedback. It requires a different approach than conventional surgical procedures, since eye-hand co-ordination is not based on direct vision, but more predominantly on image guidance via endoscopes or radiological imaging modalities. ARIS*ER is a multidisciplinary consortium developing a new generation of decision support tools for MIT by augmenting visual and sensorial feedback. We will present tools based on novel concepts in visualization, robotics and haptics providing tailored solutions for a range of clinical applications. Examples from radio-frequency ablation of liver-tumors, laparoscopic liver surgery and minimally invasive cardiac surgery will be presented. Demonstrators were developed with the aim to provide a seamless workflow for the clinical user conducting image-guided therapy.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
E. Samset, D. Schmalstieg, J. Vander Sloten, A. Freudenthal, J. Declerck, S. Casciaro, Ø. Rideng, and B. Gersak "Augmented reality in surgical procedures", Proc. SPIE 6806, Human Vision and Electronic Imaging XIII, 68060K (19 February 2008); https://doi.org/10.1117/12.784155
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Cited by 28 scholarly publications.
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KEYWORDS
Surgery

Image segmentation

Visualization

Liver

Augmented reality

Image fusion

Tissues

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