A Scheme for Ultra-Fast Computed Tomography Based on Stationary Multi-Beam X-ray Sources

dc.contributor.authorGong, Haoen
dc.contributor.committeechairCao, Guohuaen
dc.contributor.committeememberZhu, Yizhengen
dc.contributor.committeememberLaConte, Stephen M.en
dc.contributor.committeememberWyatt, Chris L.en
dc.contributor.committeememberWang, Geen
dc.contributor.departmentBiomedical Engineeringen
dc.date.accessioned2017-02-17T09:00:17Zen
dc.date.available2017-02-17T09:00:17Zen
dc.date.issued2017-02-16en
dc.description.abstractThe current cardiac computed tomography (CT) technology is mainly limited by motion blurring and radiation dose. The conceptual multi-source interior CT scheme has provided a potential solution to reduce motion artifacts and radiation exposure. This dissertation work conducted multi-facet investigations on a novel multi-source interior CT architecture (G. Cao, et. al, IEEE Access, 2014;2:1263-71) which employs distributed stationary multi-beam Carbon-nanotube (CNT) X-ray sources and simultaneously operates multiple source-detector chains to improve temporal resolution. The collimation based interior CT is integrated in each imaging chain, to suppress radiation dose. The central thesis statement is: Compared to conventional CT design, this distributed source array based multi-source interior CT architecture shall provide ultra-fast CT scan of region-of-interest (ROI) inside body with comparable image quality at lower radiation dose. Comprehensive studies were conducted to separately investigate three critical aspects of multi-source interior CT: interior CT mode, X-ray scattering, and scatter correction methods. First, a single CNT X-ray source based interior micro-CT was constructed to serve as a down-scaled experimental verification platform for interior CT mode. Interior CT mode demonstrated comparable contrast-noise-ratio (CNR) and image structural similarity to the standard global CT mode, while inducing a significant radiation dose reduction (< 83.9%). Second, the data acquisition of multi-source interior CT was demonstrated at clinical geometry, via numerical simulation and physical experiments. The simultaneously operated source-detector chains induced significant X-ray forward / cross scattering and thus caused severe CNR reduction (< 68.5%) and CT number error (< 1122 HU). To address the scatter artifacts, a stationary beam-stopper-array (BSA) based and a source-trigger-sequence (STS) based scatter correction methods were proposed to enable the online scatter measurement / correction with further radiation dose reduction (< 50%). Moreover, a deterministic physics model was also developed to iteratively remove the scatter-artifacts in the multi-source interior CT, without the need for modifications in imaging hardware or protocols. The three proposed scatter correction methods improved CNR (< 94.0%) and suppressed CT number error (< 48 HU). With the dedicated scatter correction methods, the multi-source interior CT could provide ROI-oriented imaging with acceptable image quality at significantly reduced radiation dose.en
dc.description.degreePh. D.en
dc.format.mediumETDen
dc.identifier.othervt_gsexam:9743en
dc.identifier.urihttp://hdl.handle.net/10919/75054en
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectMulti-sourceen
dc.subjectcomputed tomographyen
dc.subjectscatter correctionen
dc.subjecttemporal resolutionen
dc.subjectinterior tomographyen
dc.titleA Scheme for Ultra-Fast Computed Tomography Based on Stationary Multi-Beam X-ray Sourcesen
dc.typeDissertationen
thesis.degree.disciplineBiomedical Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.leveldoctoralen
thesis.degree.namePh. D.en

Files

Original bundle
Now showing 1 - 3 of 3
Loading...
Thumbnail Image
Name:
Gong_H_D_2017.pdf
Size:
4.39 MB
Format:
Adobe Portable Document Format
Loading...
Thumbnail Image
Name:
Gong_H_D_2017_support_1.pdf
Size:
147.29 KB
Format:
Adobe Portable Document Format
Description:
Supporting documents
Loading...
Thumbnail Image
Name:
Gong_H_D_2017_support_3.pdf
Size:
144.82 KB
Format:
Adobe Portable Document Format
Description:
Supporting documents