Abstract. We
present a clinical study of surface-based registration between a
preoperative
CT/MRI of a patient head and an intraoperative surface scan of his
face. The
study was conducted on 14 patients that underwent neurosurgery with
standard
Neuronavigation based on preoperative CT/MRI datasets.
Intraoperatively, before
the surgery started, surface scans of the patient faces were acquired
with a
surface scanner. After extracting face surface points in the upper
region of
the face from both datasets, the resulting point sets
were aligned with a robust two-step rigid
registration algorithm. The mean face registration error was
0.9mm
(std=0.35mm). The mean estimated target registration errors at 60, 105,
150mm
from the face surface were 2.0mm, 3,2mm, 4.5mm. These results indicate that surface-based
face registration is clinically viable.
Keywords:
surface-based rigid registration, neurosurgery, registration error