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dc.contributor.advisorRichard J. Gilbert and David Cory.en_US
dc.contributor.authorCabral, Victor Christopheren_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Nuclear Science and Engineering.en_US
dc.date.accessioned2008-05-19T16:08:30Z
dc.date.available2008-05-19T16:08:30Z
dc.date.issued2007en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/41684
dc.descriptionThesis (S.B.)--Massachusetts Institute of Technology, Dept. of Nuclear Science and Engineering, 2007.en_US
dc.description"June 2007." Leaves unnumbered.en_US
dc.descriptionIncludes bibliographical references (leaves [58]-[59]).en_US
dc.description.abstractIn order to explore the physical basis by which high resolution diffusion imaging derives information about fiber alignment and diameter, we simulated a model diffusion experiment employing a random walk paradigm. A simulation of a model diffusion spectrum imaging experiment was written in Java in order to compare the diffusive behavior of particles in a perfectly reflecting channel with the internal compartment of the myofibers contained in an imaged mouse tongue. The simulated probability distribution function (PDF) for diffusion was specifically employed to estimate the myofiber diameter for the cells imaged by tissue imaging of the tongue by DSI. Our group performed a DSI experiment on a mouse tongue with a 4.7 Tesla MRI spin echo experiment in order to reconstruct a set of PDFs for the diameter, which closely correlated with the actual values for cell diameter obtained by 3D microscopic visualization through two photon microscopy of the same tissue. These results provide method for estimating myofiber diameter through the properties of the diffusion PDF obtained by whole tissue magnetic resonance imaging.en_US
dc.description.statementofresponsibilityby Victor Christopher Cabral.en_US
dc.format.extent[59] leavesen_US
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/1721.1/7582en_US
dc.subjectNuclear Science and Engineering.en_US
dc.titleUsing simulation to estimate probability density functions of bound water molecules with DSIen_US
dc.typeThesisen_US
dc.description.degreeS.B.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Nuclear Science and Engineering
dc.identifier.oclc220954076en_US


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