A CT-ultrasound-coregistered augmented reality enhanced image-guided surgery system and its preliminary study on brain-shift estimation

2012 ◽  
Vol 7 (08) ◽  
pp. P08016-P08016 ◽  
Author(s):  
C H Huang ◽  
C H Hsieh ◽  
J D Lee ◽  
W C Huang ◽  
S T Lee ◽  
...  
TecnoLógicas ◽  
2017 ◽  
Vol 20 (40) ◽  
pp. 125-138
Author(s):  
Karin Correa-Arana ◽  
Oscar A. Vivas-Albán ◽  
José M. Sabater-Navarro

This paper presents a review about neurosurgery, robotic assistants in this type of procedure, and the approach to the problem of brain tissue displacement, including techniques for obtaining medical images. It is especially focused on the phenomenon of brain displacement, commonly known as brain shift, which causes a loss of reference between the preoperative images and the volumes to be treated during image-guided surgery. Hypothetically, with brain shift prediction and correction for the neuronavigation system, minimal invasion trajectories could be planned and shortened. This would reduce damage to functional tissues and possibly lower the morbidity and mortality in delicate and demanding medical procedures such as the removal of a brain tumor. This paper also mentions other issues associated with neurosurgery and shows the way robotized systems have helped solve these problems. Finally, it highlights the future perspectives of neurosurgery, a branch of medicine that seeks to treat the ailments of the main organ of the human body from the perspective of many disciplines.


Author(s):  
Andrea Teatini ◽  
Javier Pérez de Frutos ◽  
Benjamin Eigl ◽  
Egidijus Pelanis ◽  
Davit L. Aghayan ◽  
...  

2015 ◽  
Vol 15 (Suppl 1) ◽  
pp. O8 ◽  
Author(s):  
Archie Hughes-Hallett ◽  
Philip Pratt ◽  
James Dilley ◽  
Justin Vale ◽  
Ara Darzi ◽  
...  

2002 ◽  
Author(s):  
Michael Scheuering ◽  
Christof Rezk-Salama ◽  
Helmut Barfufl ◽  
Armin Schneider ◽  
Guenther Greiner

2007 ◽  
Vol 60 ◽  
pp. 366-372 ◽  
Author(s):  
Eduardo E. Lovo ◽  
Juan C. Quintana ◽  
Manuel C. Puebla ◽  
Gonzalo Torrealba ◽  
José L. Santos ◽  
...  

Author(s):  
Daipayan Guha ◽  
Naif M. Alotaibi ◽  
Nhu Nguyen ◽  
Shaurya Gupta ◽  
Christopher McFaul ◽  
...  

AbstractAugmented reality (AR) superimposes computer-generated virtual objects onto the user’s view of the real world. Among medical disciplines, neurosurgery has long been at the forefront of image-guided surgery, and it continues to push the frontiers of AR technology in the operating room. In this systematic review, we explore the history of AR in neurosurgery and examine the literature on current neurosurgical applications of AR. Significant challenges to surgical AR exist, including compounded sources of registration error, impaired depth perception, visual and tactile temporal asynchrony, and operator inattentional blindness. Nevertheless, the ability to accurately display multiple three-dimensional datasets congruently over the area where they are most useful, coupled with future advances in imaging, registration, display technology, and robotic actuation, portend a promising role for AR in the neurosurgical operating room.


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