Accuracy Analysis For Anatomical Landmarks Based Registration in Image Guided Neurosurgery

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.