Title
Dual-robot ultrasound-guided needle placement: closing the planning-imaging-action loop.
Abstract
Precise needle placement is an important task during several medical procedures. Ultrasound imaging is often used to guide the needle toward the target region in soft tissue. This task remains challenging due to the user's dependence on image quality, limited field of view, moving target, and moving needle. In this paper, we present a novel dual-robot framework for robotic needle insertions under robotic ultrasound guidance.We integrated force-controlled ultrasound image acquisition, registration of preoperative and intraoperative images, vision-based robot control, and target localization, in combination with a novel needle tracking algorithm. The framework allows robotic needle insertion to target a preoperatively defined region of interest while enabling real-time visualization and adaptive trajectory planning to provide safe and quick interactions. We assessed the framework by considering both static and moving targets embedded in water and tissue-mimicking gelatin.The presented dual-robot tracking algorithms allow for accurate needle placement, namely to target the region of interest with an error around 1 mm.To the best of our knowledge, we show the first use of two independent robots, one for imaging, the other for needle insertion, that are simultaneously controlled using image processing algorithms. Experimental results show the feasibility and demonstrate the accuracy and robustness of the process.
Year
DOI
Venue
2016
10.1007/s11548-016-1408-1
Int. J. Computer Assisted Radiology and Surgery
Keywords
Field
DocType
Instrument and patient localization and tracking,Robotic architecture and devices,Robotic system and software,Robotics,Software architecture,Ultrasound
Computer vision,Ultrasonography,Simulation,Ultrasound imaging,Image quality,Robotic Surgical Procedures,Artificial intelligence,Robot,Imaging - action,Medicine,Robotics,Ultrasound
Journal
Volume
Issue
ISSN
11
6
1861-6429
Citations 
PageRank 
References 
5
0.47
16
Authors
9
Name
Order
Citations
PageRank
Risto Kojcev190.97
B Fuerst29312.36
Oliver Zettinig3497.11
Javad Fotouhi45112.20
S Lee5345.51
Benjamin Frisch6386.22
Russell H. Taylor71970438.00
Edoardo Sinibaldi8348.71
Nassir Navab96594578.60