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dc.contributor.advisorGuillermo J. Tearney.en_US
dc.contributor.authorGoldberg, Brian, 1979-en_US
dc.contributor.otherHarvard University--MIT Division of Health Sciences and Technology.en_US
dc.date.accessioned2010-04-28T17:11:58Z
dc.date.available2010-04-28T17:11:58Z
dc.date.copyright2009en_US
dc.date.issued2009en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/54629
dc.descriptionThesis (Ph. D.)--Harvard-MIT Division of Health Sciences and Technology, 2009.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (p. 107-112).en_US
dc.description.abstractObtaining accurate needle placement is of critical importance in many medical scenarios. In the setting of fine needle aspiration biopsy (FNAB), manual palpation is often the only cue for determining the optimal position of the needle. As a result, FNAB procedures frequently yield non-diagnostic tissue. When not guided by an imaging modality, breast and thyroid FNAB's only obtain diagnostic tissue in approximately 65% of cases. Although the addition of noninvasive imaging technology has been shown to increase FNAB yield, it is time-consuming, relatively expensive, and often requires additional personnel with specialized expertise. A need exists for low-cost, small, simple to use technologies that can provide active feedback during needle placement. One promising method for guiding needle placement would be to integrate an optical sensor that could identify tissue type at the tip of the needle in order to avoid non]diagnostic sampling. Optical technologies are well suited to this challenge because sensors can be made using optical fiber which is as thin a human hair. Optical frequency domain ranging (OFDR) is an optical ranging technique that is capable of measuring depth-resolved (axial, z) tissue structure, birefringence, flow (Doppler shift), and spectra at a micrometer level resolution. Analysis of the OFDR depth reflectivity profiles yields information about the nature of the tissue being interrogated at the tip of the probe and algorithms can be developed to automatically differentiate between tissue types. The overall goal of this thesis is to develop a small, portable, point-of-care optical system that can be used to differentiate human breast tissue and guide needle placement in the setting of FNAB. We will investigate enabling technologies that allow for efficient simplification and miniaturization of an OFDR system including signal processing algorithms for automatically differentiating tissue type, a miniature battery-powered laser, and a study of the effect of reduced-bit depth acquisition for OFDR systems. Throughout, we will focus on trade offs between size and performance while taking into account usability, robustness, and overall cost which are key features of point-of-care technologies.en_US
dc.description.statementofresponsibilityby Brian David Goldberg.en_US
dc.format.extent112 p.en_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.subjectHarvard University--MIT Division of Health Sciences and Technology.en_US
dc.titleAn optical smart needle : point-of-care technologies for integrated needle guidance using optical frequency domain rangingen_US
dc.title.alternativePoint-of-care technologies for integrated needle guidance using optical frequency domain rangingen_US
dc.typeThesisen_US
dc.description.degreePh.D.en_US
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technology.en_US
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technology
dc.identifier.oclc601937968en_US


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