Medical Image Registration - Robotics Institute Carnegie Mellon University

Medical Image Registration

Portrait of Medical Image Registration
This Project is no longer active.

NREC designed and implemented a medical image registration system to accurately estimate a patient’s position for therapy.



For radiotherapy and other forms of therapy to be successful, patients must be correctly positioned for treatment. The medical image registration system uses two-dimensional X-rays and three-dimensional CT scans to accurately estimate the position and orientation of a patient’s anatomy with respect to an external coordinate frame.



High-speed computer graphics algorithms render simulated X-rays from CT scan data in a fraction of a second. These high-resolution, simulated radiographs are compared with actual X-ray images using a novel image comparison algorithm. The comparison algorithm ignores noise in the images and clutter from the patient’s other anatomy to correctly estimate the patient’s position.



The system achieved sub-millimeter registration accuracies in preliminary tests, with total registration times on the order of 50 seconds. Tests using clinical patient data are underway.

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current staff

past staff

  • David LaRose

past contact

  • Thomas Gordon