A New 2D/3D Transformation Algorithm For Radiosurgery Of Ocular Tumors | 12275
OMICS Journal of Radiology
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Noninvasive stereotactic radiosurgery with the Cyberknife system has been attempted for the treatment of ocular tumors
by a number of institutions. However, due to the unpredictability of eye movement during treatment, 6D skull tracking
cannot account for random ocular tumor positions and therefore compromise treatment delivery precision. A real-time tumor
tracking system was proposed using a pupil-tracking technique. To test and demonstrate this new approach, we assembled a
phantom system that includes a video camera, a spherical eye phantom, and a motion platform. The programmable motion
platform is capable of producing eye motions comparable to clinical conditions. A simulated pupil on the eye phantom is tracked
by the video camera. The key component in the new approach is the 2D/3D transformation that relates pupil?s projected 2D
coordinate to tumor?s 3D location. The first step is to convert the tracked pupil?s 2D coordinate from its offset to the calibration
center of the image plane to the rotation angles with respect to the 3D center of the eye. The second step is to establish a 3D
transformation to determine the new tumor position. An interactive program was designed to demonstrate the process of the
2D/3D transformation. Error analysis was presented comparing the predicted and mechanically determined tumor positions.
The simulation results shows that to achieve higher precision in radiosurgery for ocular tumors, real-time 3D tumor tracking
through pupil tracking is feasible.
Hairong Chen is Doctoral student in the Department of Biomedical Engineering, University of Miami.
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