MIT Libraries logoDSpace@MIT

MIT
View Item 
  • DSpace@MIT Home
  • MIT Libraries
  • MIT Theses
  • Graduate Theses
  • View Item
  • DSpace@MIT Home
  • MIT Libraries
  • MIT Theses
  • Graduate Theses
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

High resolution in-vivo electrode localization using microfocal X-rays.

Author(s)
Oreper, Daniel (Daniel G.)
Thumbnail
DownloadFull printable version (13.02Mb)
Other Contributors
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Advisor
James J. DiCarlo.
Terms of use
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
Metadata
Show full item record
Abstract
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.
Description
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).
 
Date issued
2006
URI
http://hdl.handle.net/1721.1/37082
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.

Collections
  • Graduate Theses

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

Login

Statistics

OA StatisticsStatistics by CountryStatistics by Department
MIT Libraries
PrivacyPermissionsAccessibilityContact us
MIT
Content created by the MIT Libraries, CC BY-NC unless otherwise noted. Notify us about copyright concerns.