WHERE ENGINEERING MEETS NEUROSURGERY
In 2015, the Brain Tool Laboratory was established by Dr. Patrick Codd as a collaboration between the Department of Neurosurgery and the Pratt School of Engineering.
Since that time, engineers and neurosurgeons have worked together to tackle some of the most difficult problems facing the surgical community. Fostering a true atmosphere of collaboration, the Brain Tool Laboratory is in a unique position to bring about significant change to the field of surgical robotics. Through a careful examination of surgical operations, researchers approach each problem by stripping away the physical and mental constraints imposed by decades of traditional surgical methodology.
In this manner, the Brain Tool Laboratory is able to advance the field of surgical robotics while keeping patient benefit and overall device value as its highest priorities.
RESEARCH & DISCOVERIES
Current Areas of Study
SURGICAL ROBOTICS AND AUTOMATION
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SPECTRAL TISSUE CLASSIFICATION
SURGICAL INSTRUMENT TRACKING
SENSOR FUSION
COMPUTER VISION
AUGMENTED REALITY
PEOPLE
Fielding the strongest team in translational surgical robotics research
PATRICK CODD, M.D.
Lab Director
Neurosurgery Faculty
WES ROSS, PHD.
Post Doc
Lab Manager
GUANGSHEN MA
Engineer
PhD Candidate
MATT TUCKER, PHD.
Research Advisor
Tech Transfer Advisor
IAN HILL
Engineer
PhD Candidate
DOMINIC DAWES
Engineer
Graduate Student
MATTHEW LACAYO, M.S.
Engineer
Research Fellow
ASHUTOSH RAMAN
Engineer
Woo Research Fellow, MS Student
TANNER ZACHEM
Engineer
Woo Research Fellow, Undergrad
LUIZA WOLF
Engineer
Undergrad
SURAJ DHULIPALLA
Engineer
Undergrad
SHERVIN RAHIMPOUR, M.D.
Researcher
Neurosurgery Resident
ANDREW CUTLER, M.D.
Researcher
Neurosurgery Resident
CHRISTINE PARK
Researcher
Medical Student
Select BTL Publications
PUBLISHED WORK
A NOVEL LASER SCALPEL SYSTEM FOR COMPUTER-ASSISTED LASER SURGERY
Laser scalpels are utilized across a variety of surgical and dermatological procedures due to their precision
and non-contact nature. This paper presents a novel laser scalpel system for superficial laser therapy applications. The
system integrates a RGB-D camera, a 3D triangulation sensor and a carbon dioxide (CO2) laser scalpel for computer-assisted
laser surgery. To accurately ablate targets chosen from the color image, a 3D extrinsic calibration method between the RGB-D camera frame and the laser coordinate system is implemented.
Ma, G., Ross, W., Hill, I., Narasimhan, N., & Codd, P.J., 2019 International Conference on Robotics and Automation (ICRA) (pp. 386-392).
CONTACT US
Duke University - North Building
304 Research Drive Durham, NC
919-681-2610