High-Sensitivity Iodine Imaging by Combining Spectral CT Technologies

Bibliographic Details
Title: High-Sensitivity Iodine Imaging by Combining Spectral CT Technologies
Authors: Tivnan, Matthew, Gang, Grace, Cao, Wenchao, Shapira, Nadav, Noel, Peter B., Stayman, J. Webster
Publication Year: 2021
Collection: Physics (Other)
Subject Terms: Physics - Medical Physics, Electrical Engineering and Systems Science - Image and Video Processing
More Details: Spectral CT offers enhanced material discrimination over single-energy systems and enables quantitative estimation of basis material density images. Water/iodine decomposition in contrast-enhanced CT is one of the most widespread applications of this technology in the clinic. However, low concentrations of iodine can be difficult to estimate accurately, limiting potential clinical applications and/or raising injected contrast agent requirements. We seek high-sensitivity spectral CT system designs which minimize noise in water/iodine density estimates. In this work, we present a model-driven framework for spectral CT system design optimization to maximize material separability. We apply this tool to optimize the sensitivity spectra on a spectral CT test bench using a hybrid design which combines source kVp control and k-edge filtration. Following design optimization, we scanned a water/iodine phantom with the hybrid spectral CT system and performed dose-normalized comparisons to two single-technique designs which use only kVp control or only kedge filtration. The material decomposition results show that the hybrid system reduces both standard deviation and crossmaterial noise correlations compared to the designs where the constituent technologies are used individually.
Document Type: Working Paper
Access URL: http://arxiv.org/abs/2103.15735
Accession Number: edsarx.2103.15735
Database: arXiv
FullText Text:
  Availability: 0
CustomLinks:
  – Url: http://arxiv.org/abs/2103.15735
    Name: EDS - Arxiv
    Category: fullText
    Text: View this record from Arxiv
    MouseOverText: View this record from Arxiv
  – Url: https://resolver.ebsco.com/c/xy5jbn/result?sid=EBSCO:edsarx&genre=article&issn=&ISBN=&volume=&issue=&date=20210329&spage=&pages=&title=High-Sensitivity Iodine Imaging by Combining Spectral CT Technologies&atitle=High-Sensitivity%20Iodine%20Imaging%20by%20Combining%20Spectral%20CT%20Technologies&aulast=Tivnan%2C%20Matthew&id=DOI:
    Name: Full Text Finder (for New FTF UI) (s8985755)
    Category: fullText
    Text: Find It @ SCU Libraries
    MouseOverText: Find It @ SCU Libraries
Header DbId: edsarx
DbLabel: arXiv
An: edsarx.2103.15735
RelevancyScore: 1009
AccessLevel: 3
PubType: Report
PubTypeId: report
PreciseRelevancyScore: 1008.97668457031
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: High-Sensitivity Iodine Imaging by Combining Spectral CT Technologies
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Tivnan%2C+Matthew%22">Tivnan, Matthew</searchLink><br /><searchLink fieldCode="AR" term="%22Gang%2C+Grace%22">Gang, Grace</searchLink><br /><searchLink fieldCode="AR" term="%22Cao%2C+Wenchao%22">Cao, Wenchao</searchLink><br /><searchLink fieldCode="AR" term="%22Shapira%2C+Nadav%22">Shapira, Nadav</searchLink><br /><searchLink fieldCode="AR" term="%22Noel%2C+Peter+B%2E%22">Noel, Peter B.</searchLink><br /><searchLink fieldCode="AR" term="%22Stayman%2C+J%2E+Webster%22">Stayman, J. Webster</searchLink>
– Name: DatePubCY
  Label: Publication Year
  Group: Date
  Data: 2021
– Name: Subset
  Label: Collection
  Group: HoldingsInfo
  Data: Physics (Other)
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Physics+-+Medical+Physics%22">Physics - Medical Physics</searchLink><br /><searchLink fieldCode="DE" term="%22Electrical+Engineering+and+Systems+Science+-+Image+and+Video+Processing%22">Electrical Engineering and Systems Science - Image and Video Processing</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: Spectral CT offers enhanced material discrimination over single-energy systems and enables quantitative estimation of basis material density images. Water/iodine decomposition in contrast-enhanced CT is one of the most widespread applications of this technology in the clinic. However, low concentrations of iodine can be difficult to estimate accurately, limiting potential clinical applications and/or raising injected contrast agent requirements. We seek high-sensitivity spectral CT system designs which minimize noise in water/iodine density estimates. In this work, we present a model-driven framework for spectral CT system design optimization to maximize material separability. We apply this tool to optimize the sensitivity spectra on a spectral CT test bench using a hybrid design which combines source kVp control and k-edge filtration. Following design optimization, we scanned a water/iodine phantom with the hybrid spectral CT system and performed dose-normalized comparisons to two single-technique designs which use only kVp control or only kedge filtration. The material decomposition results show that the hybrid system reduces both standard deviation and crossmaterial noise correlations compared to the designs where the constituent technologies are used individually.
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: Working Paper
– Name: URL
  Label: Access URL
  Group: URL
  Data: <link linkTarget="URL" linkTerm="http://arxiv.org/abs/2103.15735" linkWindow="_blank">http://arxiv.org/abs/2103.15735</link>
– Name: AN
  Label: Accession Number
  Group: ID
  Data: edsarx.2103.15735
PLink https://login.libproxy.scu.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsarx&AN=edsarx.2103.15735
RecordInfo BibRecord:
  BibEntity:
    Subjects:
      – SubjectFull: Physics - Medical Physics
        Type: general
      – SubjectFull: Electrical Engineering and Systems Science - Image and Video Processing
        Type: general
    Titles:
      – TitleFull: High-Sensitivity Iodine Imaging by Combining Spectral CT Technologies
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Tivnan, Matthew
      – PersonEntity:
          Name:
            NameFull: Gang, Grace
      – PersonEntity:
          Name:
            NameFull: Cao, Wenchao
      – PersonEntity:
          Name:
            NameFull: Shapira, Nadav
      – PersonEntity:
          Name:
            NameFull: Noel, Peter B.
      – PersonEntity:
          Name:
            NameFull: Stayman, J. Webster
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 29
              M: 03
              Type: published
              Y: 2021
ResultId 1