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dc.contributor.advisorW. Eric L. Grimson and Simon K. Warfield.en_US
dc.contributor.authorEow, Andy Khai Siangen_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2006-09-28T15:03:42Z
dc.date.available2006-09-28T15:03:42Z
dc.date.copyright2005en_US
dc.date.issued2005en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/34110
dc.descriptionThesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.en_US
dc.descriptionIncludes bibliographical references (p. 101-103).en_US
dc.description.abstractFor patients with medically refractive focal epilepsy, surgical intervention to remove the epileptic foci is often the last alternative for permanent cure. The success of such surgery is highly dependent on the doctor's ability to accurately locate the epileptogenic region during the pre-surgical planning and evaluation phase. Hence the goal of this project is to provide an end-to-end quantitative analysis pipeline that fuses an array of imaging modalities including magnetic resonance imaging (MRI), diffusion tensor MRI, positron emission tomography (PET), single-photon emission computerized tomography (SPECT) as well as EEG data to build patient-specific head models and to compute prior probability maps of epileptic hotspots for more accurate EEG source localization. By improving the ability to accurately locate these epileptogenic seizure sources, patients can benefit tremendously from accurate surgical resection and consequently have a better chance for complete seizure free recovery.en_US
dc.description.statementofresponsibilityby Andy Khai Siang Eow.en_US
dc.format.extent103 p.en_US
dc.format.extent5259211 bytes
dc.format.extent5263521 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.titleQuantitative multi-modal analysis of pediatric focal epilepsyen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc67617170en_US


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