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Three-dimensional model acquisition for medical robotics-assisted burn debridement system
Authors:Thomas Nwodoh  Bartholomew Nnaji  Robin Popplestone  Elliot Lach
Affiliation:

a Automation and Robotics Laboratory, Department of Mechanical and Industrial Engineering, University of Massachusetts, Amherst, MA 01003, U.S.A.

b Department of Industrial Engineering, University of Pittsburgh, 1048 Benedum Hall, Pittsburgh, PA 15261, U.S.A.

c Laboratory for Perceptual Robotics, Department of Computer Science, University of Massachusetts, Amherst, MA 01003, U.S.A.

d Center for Advanced Clinical Technology, Department of Surgery and Pediatrics, University of Massachusetts Medical School, Worcester, MA 01655, U.S.A.

Abstract:This paper discusses the principles for the acquisition of a three-dimensional (3-D) computational model of the treatment area of a burn victim for a vision-servo-guided robot which ablates the victim's burned skin tissue by delivering a high-energy laser light to the burned tissue. The medical robotics assistant system consists of: a robot whose end effector is equipped with a laser head, whence the laser beam emanates, and a vision system which is used to acquire the 3-D coordinates of some points on the body surface; 3-D surface modeling routines for generating the surface model of the treatment area; and control and interface hardware and software for control and integration of all the system components. Discussion of the vision and surface modeling component of the medical robotics assistant system is the focus of this paper. The robot-assisted treatment process has two phases: an initial survey phase during which a model of the treatment area on the skin is built and used to plan an appropriate trajectory for the robot in the subsequent phase—the treatment phase, during which the laser surgery is performed. During the survey phase, the vision system employs a camera to acquire points on the surface of the patient's body by using the camera to capture the contour traced by a plane of light generated by a low power laser, distinct from the treatment laser. The camera's image is then processed. Selected points on the camera's two-dimensional image frame are used as input to a process that generates 3-D body surface points as the intersection point of the plane of light and the line of sight between the camera's image point and the body surface point. The acquired body surface points are then used to generate a computational model of the treatment area using the non-uniform rational B-splines (NURBS) surface modeling technique. The constructed NURBS surface model is used to generate a treatment plan for the execution of the treatment phase. The robot plan for treatment is discussed in another paper. The prototype of the entire burn treatment system is at an advanced stage of development and tests of the engineering principles on inanimate objects, discussed herein, are being conducted.
Keywords:2-D image  skin points in 3-D  survey phase  surface model  treatment phase  laser surgery  tissue ablation
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