@inproceedings{f3e6950143d440beb6023e41a353b697,
title = "Automated location detection of injection site for preclinical stereotactic neurosurgery procedure",
abstract = "Currently, during stereotactic neurosurgery procedures, the manual task of locating the proper area for needle insertion or implantation of electrode/cannula/optic fiber can be time consuming. The requirement of the task is to quickly and accurately find the location for insertion. In this study we investigate an automated method to locate the entry point of region of interest. This method leverages a digital image capture system, pattern recognition, and motorized stages. Template matching of known anatomical identifiable regions is used to find regions of interest (e.g. Bregma) in rodents. For our initial study, we tackle the problem of automatically detecting the entry point.",
keywords = "Automation, Preclinical, Stereotactic neurosurgery, Template matching",
author = "Shiva Abbaszadeh and Wu, {Hemmings C.H.}",
note = "Publisher Copyright: {\textcopyright} 2017 SPIE.; Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling ; Conference date: 14-02-2017 Through 16-02-2017",
year = "2017",
doi = "10.1117/12.2254722",
language = "English (US)",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Webster, {Robert J.} and Baowei Fei",
booktitle = "Medical Imaging 2017",
}