Show simple item record

dc.contributor.advisorJulie Greenberg and Randy Gollub.en_US
dc.contributor.authorLai, Ian, 1980-en_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2006-03-24T16:13:30Z
dc.date.available2006-03-24T16:13:30Z
dc.date.copyright2003en_US
dc.date.issued2003en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/29669
dc.descriptionThesis (M.Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.en_US
dc.descriptionIncludes bibliographical references (p. 59-63).en_US
dc.description.abstractA dearth of educational material exists for functional magnetic resonance imaging (fMRI), a relatively new tool used in neuroscience research. A computer demonstration for understanding statistical analysis in fMRI was developed in Matlab, along with an accompanying tutorial for its users. The demo makes use of Dview, an existing software package for viewing 3D brain data, and utilizes precomputed data to improve interactivity. The demo and client were used in an HST graduate course in methods for acquisition and analysis of fMRI data. For wider accessibility, a Web-based version of the demo was designed with a client/server architecture. The Java client has a layered design for flexibility, and the Matlab server interfaces with Dview to take advantage of its functionality. The client and server communicate via a simple protocol through the Matlab Web Server. The Web-based version of the demo was implemented successfully. Future work includes implementation of additional demo features and expansion of the tutorial before dissemination to a wider group of medical and neuroscience researchers.en_US
dc.description.statementofresponsibilityby Ian Lai.en_US
dc.format.extent63en_US
dc.format.extent3503775 bytes
dc.format.extent3503584 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.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.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleA Web-based tutorial for statistical analysis of fMRI dataen_US
dc.title.alternativeWeb-based tutorial for statistical analysis of functional magnetic resonance imaging dataen_US
dc.typeThesisen_US
dc.description.degreeM.Eng.and S.B.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc53833496en_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record