Validation of a nonlinear optimization algorithm for reconstruction of diffused images

Update Item Information
Publication Type honors thesis
School or College College of Engineering
Department Biomedical Engineering
Faculty Mentor Rajesh Menon
Creator Palmieri, Nikole
Title Validation of a nonlinear optimization algorithm for reconstruction of diffused images
Year graduated 2016
Date 2016-04
Description Living tissue is a diffusive light-scattering medium, preventing traditional fluorescence microscopy from being used as a diagnostic imaging modality. To determine microscopy from being used as a diagnostic imaging modality. To determine whether the nonlinear optimization algorithm developed for Computational Cannula Microscopy (CCM) could be used to reconstruct objects beneath a diffusive medium, calibrations of the diffusive medium were generated and test images were reconstructed. We found that calibrating the diffusive medium allowed for identification and location of complex test objects. Additionally, we found that increasing the diffusion of the diffusive medium led to a decrease in resolution of the reconstruction. Decreasing the calibration step size allowed for increase nonlinear optimization algorithm can be used to reconstruct images beneath diffusive mediums. Further, these results will aid in developing a noninvasive fluorescence diagnostic imaging technique.
Type Text
Publisher University of Utah
Subject Diagnostic imaging; Mathematical optimization; Image processing; Diffusion distance; Computational Cannula Microscopy; Nonlinear optimization; MATLAB
Language eng
Rights Management (c) Nikole D. Palmieri
Format Medium application/pdf
Format Extent 25,086 bytes
Identifier honors/id/69
Permissions Reference URL https://collections.lib.utah.edu/ark:/87278/s68h2hqj
ARK ark:/87278/s6p87n6p
Setname ir_htoa
ID 205721
Reference URL https://collections.lib.utah.edu/ark:/87278/s6p87n6p
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