2026-09-19T06:12:02Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/370822026-06-06T01:04:34Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
James J. DiCarlo.
Oreper, Daniel (Daniel G.)
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2007-04-03T17:09:42Z
2007-04-03T17:09:42Z
2006
2006
http://hdl.handle.net/1721.1/37082
83299446
Thesis (M. Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.
Statement of responsibility "by Daniel Oreper" taken from abstract, p. 1. Leaf 109 blank.
Includes bibliographical references (leaf 108).
Neuroscientists lack the ability to perform in-vivo electrode localization with high accuracy, especially in deep brain structures. The design, implementation and testing of a microfocal x-ray stereo system that offers an efficient, accurate, and relatively low-cost solution this localization problem is presented. The results indicate the ability to localize a targets to within -50 microns, in a brain-tissue-based frame. This accuracy is approximately twice as good as than the existing gold standard in electrophysiology (microlesions), and, unlike the microlesion method, the stereo microfocal x-ray method has important advantages. In particular, while only tens of neuronal recording sites can be reliably reconstructed with the microlesion method, microfocal x-ray method can be repeatedly performed to accurately estimate an essentially unlimited number of serial penetrations, and the localization results are available in nearly real time without animal sacrifice.
M.Eng.
S.B.
109 leaves
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
High resolution in-vivo electrode localization using microfocal X-rays.
Thesis
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