scholarly journals Quantitative Analysis of Transnasal Anterior Skull Base Approach: Report of Technology for Intraoperative Assessment of Instrument Motion

2017 ◽  
Vol 24 (4) ◽  
pp. 405-410 ◽  
Author(s):  
Angelique M. Berens ◽  
Richard Alex Harbison ◽  
Yangming Li ◽  
Randall A. Bly ◽  
Nava Aghdasi ◽  
...  

Objective: To develop a method to measure intraoperative surgical instrument motion. This model will be applicable to the study of surgical instrument kinematics including surgical training, skill verification, and the development of surgical warning systems that detect aberrant instrument motion that may result in patient injury. Design: We developed an algorithm to automate derivation of surgical instrument kinematics in an endoscopic endonasal skull base surgery model. Surgical instrument motion was recorded during a cadaveric endoscopic transnasal approach to the pituitary using a navigation system modified to record intraoperative time-stamped Euclidian coordinates and Euler angles. Microdebrider tip coordinates and angles were referenced to the cadaver’s preoperative computed tomography scan allowing us to assess surgical instrument kinematics over time. A representative cadaveric endoscopic endonasal approach to the pituitary was performed to demonstrate feasibility of our algorithm for deriving surgical instrument kinematics. Conclusions: Technical feasibility of automatically measuring intraoperative surgical instrument motion and deriving kinematics measurements was demonstrated using standard navigation equipment.

2013 ◽  
Vol 416-417 ◽  
pp. 1282-1288
Author(s):  
Jun Cong Mo ◽  
De Min Yao

This paper presents and implements an automatic roaming and fast virtual endoscopic neurosurgery system for transsexual approach, which can be compatible with the fiber-optic endoscopic transnasal approach in the skull base surgery, and accurately locate the position and their mutual relations among the lesions, tumors and surrounding vital anatomical structures. The system uses a multithreaded RayCasting volume-rendering algorithm based on the graphics processor (GPU). It reconstructs the nasal three-dimensional structure in the skull base surgery, and optimizes the centerline extraction that can be carried out automatically. In real-time display, it improves the translucent rendering optical model, taking into account lighting model important parameter - the image gradient translucent degree of non-linear effects, and can fully display the skull surface and internal implied the interface and internal details.


2014 ◽  
Vol 75 (S 01) ◽  
Author(s):  
James Byrd ◽  
Eric Wang ◽  
Juan Fernandez-Miranda ◽  
Paul Gardner ◽  
Carl Snyderman

Skull Base ◽  
2007 ◽  
Vol 17 (S 2) ◽  
Author(s):  
Theodore Schwartz ◽  
Seth Brown ◽  
Abtin Tabaee ◽  
Vijay Anand

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