Abstract:
Application of image guided surgery methods provide less
invasive surgery, its accuracy depend upon registration methods
Accurate patient to image registration is the core for successful
and safe image-guided neurosurgery. Point-matching is the
most common technique in practice to achieve this registration.
This project is developed using MATLAB to analyze the
accuracy of anatomical landmarks to be used as Fiducial points
for point based registration method in image guided
neurosurgery thus to avoid the problems of the other marker
used for the same purpose. Three kinds of results are calculated
in this project and they were: Subjectivity Analysis Result with
fiducial registration error (FRE) value equal to 2.3816±1.4955
for thirty random samples. Repetitive Selection result with
standard deviation from fiducial registration error (FRE) value
equal to 0.6053. finally the comparison of target registration
error variation within the head.
