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dc.contributor.advisorJosé-Gabriel Venegas.en_US
dc.contributor.authorLayfield, Dominick, 1971-en_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Mechanical Engineering.en_US
dc.date.accessioned2006-03-24T16:09:59Z
dc.date.available2006-03-24T16:09:59Z
dc.date.copyright2003en_US
dc.date.issued2003en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/29634
dc.descriptionThesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2003.en_US
dc.descriptionIncludes bibliographical references (p. 186-187).en_US
dc.description.abstractThis thesis deals with a method of functional lung imaging using Positron Emission Tomography (PET). In this technique, a radioactive tracer, nitrogen-13, is dissolved in saline solution, and injected into a peripheral vein. By analysis of the tracer kinetics through the lung, measured using PET, a three-dimensional image of perfusion and ventilation can be generated. In the first part of this thesis, a new tracer-preparation system, suitable for use in human subjects, is described. The system is remotely operated, highly automated, and incorporates numerous redundant safeguards to protect the patient. The second part of the thesis details a formal approach to the analysis of the experimental data. A model of the tracer in the right heart and lungs is developed, and used to estimate physiological parameters for large to medium-sized regions of diseased lung. As regions of interest are made smaller, the amount of imaging noise in PET data increases. Consequently parameter estimates become less reliable as finer resolution is used. In order to retain as much spatial information as possible, a new approach is explored, in which voxels with similar kinetics are grouped together, and parameters are estimated for the whole group; in this way, spatial resolution is conserved at the expense of parametric discretization. The viability of the approach is demonstrated by high-resolution analysis of ventilation dysfunction in asthmatic subjects.en_US
dc.description.statementofresponsibilityby Dominick Layfield.en_US
dc.format.extent187 p.en_US
dc.format.extent8041780 bytes
dc.format.extent8041590 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.subjectMechanical Engineering.en_US
dc.titleFunctional lung imaging in humans using Positron Emission Tomographyen_US
dc.typeThesisen_US
dc.description.degreePh.D.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineering
dc.identifier.oclc53371874en_US


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