Design of an x-ray CT system with implementation of sparse-data reconstruction

Maloney, Luke J.

Title:

Design of an x-ray CT system with implementation of sparse-data reconstruction

dc.contributor.advisor	Erickson, Anna S.
dc.contributor.author	Maloney, Luke J.
dc.contributor.committeeMember	Wang, C.-K. Chris
dc.contributor.committeeMember	Roper, Justin
dc.contributor.department	Mechanical Engineering
dc.date.accessioned	2017-08-17T19:02:03Z
dc.date.available	2017-08-17T19:02:03Z
dc.date.created	2017-08
dc.date.issued	2017-08-02
dc.date.submitted	August 2017
dc.date.updated	2017-08-17T19:02:03Z
dc.description.abstract	An x-ray computed tomography system for industrial-like acquisitions is designed with microfocus x-ray source. System implements sparse-data reconstruction to demonstrate capability of low-dose imaging via retrospective downsampling of acquired datasets. Reconstructed images are noise-suppresed via total variation (TV) minimization and Tikhonov regularization, using iterative solution techniques. Image quality metrics are discussed.
dc.description.degree	M.S.
dc.format.mimetype	application/pdf
dc.identifier.uri	http://hdl.handle.net/1853/58745
dc.language.iso	en_US
dc.publisher	Georgia Institute of Technology
dc.subject	Sparse data
dc.subject	Computed tomography
dc.subject	X-ray CT
dc.subject	Total variation
dc.subject	Iterative reconstruction
dc.subject	Few-angle
dc.title	Design of an x-ray CT system with implementation of sparse-data reconstruction
dc.type	Text
dc.type.genre	Thesis
dspace.entity.type	Publication
local.contributor.advisor	Erickson, Anna S.
local.contributor.corporatename	George W. Woodruff School of Mechanical Engineering
local.contributor.corporatename	College of Engineering
relation.isAdvisorOfPublication	df2e2349-4cf3-4d53-89e5-adc9b56c9ac6
relation.isOrgUnitOfPublication	c01ff908-c25f-439b-bf10-a074ed886bb7
relation.isOrgUnitOfPublication	7c022d60-21d5-497c-b552-95e489a06569
thesis.degree.level	Masters