Title
Projection-Based Visual Guidance For Robot-Aided Rf Needle Insertion
Abstract
The use of projector-based augmented reality (AR) in surgery may enable surgeons to directly view anatomical models and surgical data from the patient's surface (skin). It has the advantages of a consistent viewing focus on the patient, an extended field of view and augmented interaction. This paper presents an AR guidance mechanism with a projector-camera system to provide the surgeon with direct visual feedback for supervision of robotic needle insertion in radiofrequency (RF) ablation treatment.The registration of target organ models to specific positions on the patient body is performed using a surface-matching algorithm and point-based registration. An algorithm based on the extended Kalman filter and spatial transformation is used to intraoperatively compute the virtual needle's depth in the patient's body for AR display.Experiments of this AR system on a mannequin were conducted to evaluate AR visualization and accuracy of virtual RF needle insertion. The average accuracy of 1.86 mm for virtual needle insertion met the clinical requirement of 2 mm or better. The feasibility of augmented interaction with a surgical robot using the proposed open AR interface with active visual feedback was demonstrated.The experimental results demonstrate that this guidance system is effective in assisting a surgeon to perform a robot-assisted radiofrequency ablation procedure. The novelty of the work lies in establishing a navigational procedure for percutaneous surgical augmented intervention integrating a projection-based AR guidance and robotic implementation for surgical needle insertion.
Year
DOI
Venue
2013
10.1007/s11548-013-0897-4
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY
Keywords
Field
DocType
Augmented reality, Augmented interaction, Visual guidance, Image-guided surgery, Projector-camera system, Radiofrequency ablation
Visual guidance,Field of view,Computer vision,Computer graphics (images),Image-guided surgery,Ablation,Radiofrequency ablation,Augmented reality,Projector,Artificial intelligence,Robot,Medicine
Journal
Volume
Issue
ISSN
8
6
1861-6410
Citations 
PageRank 
References 
5
0.50
14
Authors
5
Name
Order
Citations
PageRank
Rong Wen1334.73
Chee-Kong Chui224538.34
Sim Heng Ong342644.63
Kah-Bin Lim4404.34
Stephen Kin-Yong Chang551.17