Neuro-Surgical Navigation System
MIT Artificial Intelligence Lab and Brigham and Women's Hospital
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Overview
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We designed and implemented a surgical navigation system that has been
used to guide the chief of neurosurgery at Brigham and Women's
Hospital through over 200 intra-operative procedures. The system
allows the surgeon to more safely and more accurately navigate through
the patient's head with reference to a preoperative scan.
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Patient Specific Models
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A preoperative MR scan of the patient is acquired, consisting of many
2D slices that make up a full 3D volume (left). Internal anatomical
structures are labeled or segmented semi-automatically and 3D surface
models of the structures are generated (right).
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Registration
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In the operating room, a laser triangulation system extracts 3D
positions from the patient's skin (left). Those 3D points are then
registered or aligned to the MR skin model of the patient (right).
This registration relates the patient's position in the OR to the
coordinate system of the MR images.
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Enhanced Reality Visualization and Surgical Navigation
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The internal anatomy of the patient can then be superimposed on live
video of the patient, giving the surgeon a type of "X-Ray Vision" to
see inside the patient's head (left). The surgeon also uses trackable
probes and instruments to navigate through the anatomy,
while the system displays the real-time position of the tip in the
3D model and orthogonal MR slices (right).
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Pediatric Epilepsy
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In cases of pediatric epilepsy, an electrode grid is placed on the
cortex to identify the location of the lesion (left). The positions
of the grid points are recorded using the probe and visualized in the
3D models (right). The responses from the grid are color-coded in the
3D models providing the surgeon with a map both of the lesion to be
removed and of critical areas such as the motor and sensory corticies to
be avoided.
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