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dc.contributor.advisorBrian W. Anthony.en_US
dc.contributor.authorZhang, Xiang,Ph. D.Massachusetts Institute of Technology.en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Mechanical Engineering.en_US
dc.date.accessioned2020-02-10T21:44:34Z
dc.date.available2020-02-10T21:44:34Z
dc.date.copyright2019en_US
dc.date.issued2019en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/123779
dc.descriptionThesis: Ph. D., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2019en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 145-157).en_US
dc.description.abstractThis thesis explores the design, development, and evaluation of two novel non-contact ultrasound imaging methods: immersion ultrasound and optical ultrasound. Immersion ultrasound utilizes traditional piezoelectric elements in a tomographic framework to develop new algorithms and acquisition methods for quantification of tissue geometry and properties in human proximal limbs. Bone is uniquely challenging for ultrasound due to the high impedance mismatch between bone and soft-tissue in the imaging domain. New imaging algorithms are necessary for both geometric and quantitative reconstruction of subjects with bone. Multiple immersion systems were designed and constructed using the framework presented in this thesis. Mechanical systems include a 4 degrees of freedom single element system and a fully flexible 36 degrees of freedom robotic system abbreviated MEDUSA (Mechanically Discrete Ultrasound Scanning Apparatus).en_US
dc.description.abstractAn adaptive beamforming algorithm addressing specularity of bone in pulse-echo imaging and a Full Waveform Inversion algorithm for quantitative imaging with bone are discussed, with imaging results on tissue mimicking phantoms, excised animal tissue, and human subjects. Furthermore, a laser ultrasound (LUS) system was developed for full non-contact ultrasound imaging. LUS completely replaces conventional piezoelectric elements for generation and detection of ultrasound in biological tissue. LUS generates ultrasonic waves at the tissue surface via rapid transduction of optical energy to acoustic energy through thermomechanical coupling on the tissue surface and detects returning ultrasonic waves on the tissue surface using laser interferometry. In combination, LUS can utilize any tissue surface as a viable acoustic transmitter or detector.en_US
dc.description.abstractAnalysis of light and tissue interactions presented in this thesis identifies the critical process parameters for soft-tissue imaging at eye and skin safe optical exposure levels. LUS system design methods and imaging results on tissue mimicking phantoms, excised tissue, and humans subjects are presented. Human LUS results marks the first instance of full non-contact optical ultrasound imaging of in-vivo human subjects. All systems presented in this thesis were calibrated to ensure safe optical and acoustic exposure levels for human subjects. Approval was obtained from the MIT Committee on the Use of Humans as Experimental Subjects (COUHES) prior to any human experimentation.en_US
dc.description.statementofresponsibilityby Xiang Zhang.en_US
dc.format.extent157 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectMechanical Engineering.en_US
dc.titleNon-contact ultrasounden_US
dc.typeThesisen_US
dc.description.degreePh. D.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.identifier.oclc1139520545en_US
dc.description.collectionPh.D. Massachusetts Institute of Technology, Department of Mechanical Engineeringen_US
dspace.imported2020-02-10T21:44:33Zen_US
mit.thesis.degreeDoctoralen_US
mit.thesis.departmentMechEen_US


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