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oai:www.ideals.illinois.edu:2142/99193 2023-07-11 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Carney, P. Scott Carney, P. Scott Eden, J. Gary Singer, Andrew C. Oelze, Michael L. Gruev, Viktor Xu, Yang 2018-03-13T15:21:05Z 2018-03-13T15:21:05Z 2020-03-14T09:15:12Z 2017-10-23 2017-12 In this dissertation, we present several algorithms developed for optical coherence tomography (OCT) datasets. We show that by incorporating physical modeling, mathematical analysis and signal processing, it is possible to uncover the huge potential hidden in the raw OCT data. The automated Interferometric Synthetic Aperture Microscopy algorithm uses image sharpness metrics to automatically search for the optimal parameters for each step of the processing, resulting in near-optimal reconstruction comparable to images manually tuned by experts. The filtering algorithm for Doppler OCT images combines mathematical optimization with GPU parallel programming, and drastically increases the dynamic range of Doppler OCT velocity maps, making Doppler OCT potentially applicable to faster blood vessels such as the carotids. The susceptibility tensor ISAM algorithm converts the complicated multipolarization scattering and detection problem into a linear algebra problem and solves it through regularized least square method, which enables us to indirectly measure all nine components of the susceptibility tensor for clusters of discrete particles. We also discuss the potential method to extend susceptibility tensor ISAM to continuous samples, which promises better contrast between tissue types and insights into the anisotropic structure inside biological tissue. Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2019-12-01 The student, Yang Xu, accepted the attached license on 2017-10-21 at 00:52. The student, Yang Xu, submitted this Dissertation for approval on 2017-10-21 at 01:04. This Dissertation was approved for publication on 2017-10-23 at 16:14. DSpace SAF Submission Ingestion Package generated from Vireo submission #11698 on 2018-03-13 at 09:55:34 Made available in DSpace on 2018-03-13T15:21:05Z (GMT). No. of bitstreams: 2 XU-DISSERTATION-2017.pdf: 12841079 bytes, checksum: 56eb634589b03bd99f51ca2b5f8b35ba (MD5) LICENSE.txt: 4204 bytes, checksum: 90f38caa315e63b5a11b8ce181d5a8a9 (MD5) Previous issue date: 2017-10-23 Embargo set by: Seth Robbins for item 105155 Lift date: 2020-03-13T15:21:19Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system Embargo set by: Seth Robbins for item 105155 Lift date: 2020-03-13T15:25:40Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system Embargo set by: Seth Robbins for item 105155 Lift date: 2020-03-13T15:28:52Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system U of I Only Restriction Lifted for Item 105155 on 2020-03-14T09:15:12Z. application/pdf http://hdl.handle.net/2142/99193 en Copyright 2017 Yang Xu Optical coherence tomography Interferometric synthetic aperture microscopy Information extraction algorithms based on optical coherence tomography data text text Electrical & Computer Eng Electrical & Computer Engr University of Illinois at Urbana-Champaign Dissertation Ph.D.