Automated location detection of injection site for preclinical stereotactic neurosurgery procedure

Shiva Abbaszadeh; Hemmings C. H. Wu

doi:10.1117/12.2254722

3 March 2017 Automated location detection of injection site for preclinical stereotactic neurosurgery procedure

Shiva Abbaszadeh, Hemmings C. H. Wu

Proceedings Volume 10135, Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling; 101352D (2017) https://doi.org/10.1117/12.2254722
Event: SPIE Medical Imaging, 2017, Orlando, Florida, United States

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.

Citation Download Citation

Shiva Abbaszadeh and Hemmings C. H. Wu "Automated location detection of injection site for preclinical stereotactic neurosurgery procedure", Proc. SPIE 10135, Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling, 101352D (3 March 2017); https://doi.org/10.1117/12.2254722

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