Title:
Novel methods for iterative reconstruction and noise estimation in CT imaging

dc.contributor.advisor Zhu, Lei
dc.contributor.author Wang, Tonghe
dc.contributor.committeeMember Wang, C.-K. Chris
dc.contributor.committeeMember Tang, Xiangyang
dc.contributor.committeeMember Roper, Justin
dc.contributor.committeeMember Aarsvold, John N.
dc.contributor.department Mechanical Engineering
dc.date.accessioned 2017-08-17T18:58:20Z
dc.date.available 2017-08-17T18:58:20Z
dc.date.created 2017-08
dc.date.issued 2017-04-24
dc.date.submitted August 2017
dc.date.updated 2017-08-17T18:58:20Z
dc.description.abstract Computed tomography (CT) has become an important clinical imaging modality, and has been extended into a wide range of usage with the development of novel CT scanners such as dual energy CT (DECT). However, the imaging dose during CT scanning increasingly raises public concern. Iterative reconstruction algorithms have shown promise on improving quality of CT images with reduced radiation. In the first part of this study, a novel iterative reconstruction method is developed to enable a new data acquisition scheme for potential reduction in imaging dose and engineering cost of DECT. As iterative CT reconstruction continues to advance, the spatial distribution of noise standard deviation (STD) and accurate noise power spectrum (NPS) on the reconstructed CT images become important for method evaluation as well as optimization of algorithm parameters. In the second part of this study, a practical method for pixel-wise calculation of noise statistics on an iteratively reconstructed CT image is developed, which enables accurate calculation of noise STD for each pixel and NPS.
dc.description.degree Ph.D.
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/58634
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject Iterative reconstruction
dc.subject CT
dc.subject Noise estimation
dc.title Novel methods for iterative reconstruction and noise estimation in CT imaging
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.corporatename George W. Woodruff School of Mechanical Engineering
local.contributor.corporatename College of Engineering
relation.isOrgUnitOfPublication c01ff908-c25f-439b-bf10-a074ed886bb7
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
thesis.degree.level Doctoral
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