Implementation, calibration and accuracy testing of an image-enhanced endoscopy system.
This paper presents a new method for image-guided surgery called image-enhanced endoscopy. Registered real and virtual endoscopic images (perspective volume renderings generated from the same view as the endoscope camera using a preoperative image) are displayed simultaneously; when combined with the ability to vary tissue transparency in the virtual images, this provides surgeons with the ability to see beyond visible surfaces and, thus, provides additional exposure during surgery. A mount with four photoreflective spheres is rigidly attached to the endoscope and its position and orientation is tracked using an optical position sensor. Generation of virtual images that are accurately registered to the real endoscopic images requires calibration of the tracked endoscope. The calibration process determines intrinsic parameters (that represent the projection of three-dimensional points onto the two-dimensional endoscope camera imaging plane) and extrinsic parameters (that represent the transformation from the coordinate system of the tracker mount attached to the endoscope to the coordinate system of the endoscope camera), and determines radial lens distortion. The calibration routine is fast, automatic, accurate and reliable, and is insensitive to rotational orientation of the endoscope. The routine automatically detects, localizes, and identifies dots in a video image snapshot of the calibration target grid and determines the calibration parameters from the sets of known physical coordinates and localized image coordinates of the target grid dots. Using nonlinear lens-distortion correction, which can be performed at real-time rates (30 frames per second), the mean projection error is less than 0.5 mm at distances up to 25 mm from the endoscope tip, and less than 1.0 mm up to 45 mm. Experimental measurements and point-based registration error theory show that the tracking error is about 0.5-0.7 mm at the tip of the endoscope and less than 0.9 mm for all points in the field of view of the endoscope camera at a distance of up to 65 mm from the tip. It is probable that much of the projection error is due to endoscope tracking error rather than calibration error. Two examples of clinical applications are presented to illustrate the usefulness of image-enhanced endoscopy. This method is a useful addition to conventional image-guidance systems, which generally show only the position of the tip (and sometimes the orientation) of a surgical instrument or probe on reformatted image slices.
Shahidi
Ramin
R
Image Guidance Laboratories, Department of Neurosurgery, Stanford University, 300 Pasteur Drive, Room S-012, MC 5327, Stanford, CA 94305-5327, USA. shahidi@stanford.edu
Bax
Michael R
MR
Maurer
Calvin R
CR
Johnson
Jeremy A
JA
Wilkinson
Eric P
EP
Wang
Bai
B
West
Jay B
JB
Citardi
Martin J
MJ
Manwaring
Kim H
KH
Khadem
Rasool
R
D000293:Adolescent; D000465:Algorithms; D002138:Calibration; D019723:Endoscopes; D004724:Endoscopy / Q000379:methods*; D004867:Equipment Design; D005240:Feasibility Studies; D005260:Female; D006801:Humans; D006849:Hydrocephalus / Q000175:diagnosis / Q000601:surgery; D007089:Image Enhancement / Q000295:instrumentation / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000295:instrumentation / Q000379:methods*; D019047:Phantoms, Imaging; D011786:Quality Control; D015203:Reproducibility of Results; D012220:Rhinitis / Q000175:diagnosis / Q000601:surgery; D012680:Sensitivity and Specificity; D012852:Sinusitis / Q000175:diagnosis / Q000601:surgery; D013382:Subtraction Technique / Q000295:instrumentation*; D025321:Surgery, Computer-Assisted / Q000295:instrumentation* / Q000379:methods; D014696:Ventriculostomy / Q000295:instrumentation / Q000379:methods