@inproceedings{dce317eccdfd44bf94b37f2825e53445,
title = "Robot-assisted image-guided targeting for minimally invasive neurosurgery: Planning, registration, and In-vitro experiment",
abstract = "This paper present a novel image-guided system for precise automatic targeting in keyhole minimally invasive neurosurgery. The system consists of a miniature robot fitted with a mechanical guide for needle/probe insertion. Intraoperatively, the robot is directly affixed to a head clamp or to the patient skull. It automatically positions itself with respect to predefined targets in a preoperative CT/MRI image following an anatomical registration with a intraoperative 3D surface scan of the patient facial features. We describe the preoperative planning and registration modules, and an in-vitro registration experiment of the entire system which yields a target registration error of 1.7mm (std=0.7mm).",
author = "R. Shamir and M. Freiman and L. Joskowicz and M. Shoham and E. Zehavi and Y. Shoshan",
year = "2005",
doi = "10.1007/11566489_17",
language = "American English",
isbn = "3540293264",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "131--138",
booktitle = "Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005 - 8th International Conference, Proceedings",
note = "8th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005 ; Conference date: 26-10-2005 Through 29-10-2005",
}