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Virtual monoenergetic imaging in photon-counting CT of the head and neck.
Farhadi, Faraz; Sahbaee, Pooyan; Rajagopal, Jayasai R; Nikpanah, Moozhan; Saboury, Babak; Gutjahr, Ralf; Biassou, Nadia M; Shah, Ritu; Flohr, Thomas G; Samei, Ehsan; Pritchard, William F; Malayeri, Ashkan A; Bluemke, David A; Jones, Elizabeth C.
Afiliação
  • Farhadi F; Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, USA.
  • Sahbaee P; Siemens Medical Solutions USA, Malvern, PA, USA.
  • Rajagopal JR; Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, USA; Carl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University Medical Center, Durham, NC, USA.
  • Nikpanah M; Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, USA.
  • Saboury B; Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, USA.
  • Gutjahr R; Siemens Healthineers, Forchheim, Germany.
  • Biassou NM; Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, USA.
  • Shah R; Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, USA.
  • Flohr TG; Siemens Healthineers, Forchheim, Germany.
  • Samei E; Carl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University Medical Center, Durham, NC, USA.
  • Pritchard WF; Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, USA; Center for Interventional Oncology, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, USA.
  • Malayeri AA; Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, USA.
  • Bluemke DA; Department of Radiology, University of Wisconsin, Madison, WI, USA.
  • Jones EC; Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, USA. Electronic address: ejones@cc.nih.gov.
Clin Imaging ; 102: 109-115, 2023 Oct.
Article em En | MEDLINE | ID: mdl-37672849
ABSTRACT

PURPOSE:

Advantages of virtual monoenergetic images (VMI) have been reported for dual energy CT of the head and neck, and more recently VMIs derived from photon-counting (PCCT) angiography of the head and neck. We report image quality metrics of VMI in a PCCT angiography dataset, expanding the anatomical regions evaluated and extending observer-based qualitative methods further than previously reported.

METHODS:

In a prospective study, asymptomatic subjects underwent contrast enhanced PCCT of the head and neck using an investigational scanner. Image sets of low, high, and full spectrum (Threshold-1) energies; linear mix of low and high energies (Mix); and 23 VMIs (40-150 keV, 5 keV increments) were generated. In 8 anatomical locations, SNR and radiologists' preferences for VMI energy levels were measured using a forced-choice rank method (4 observers) and ratings of image quality using visual grading characteristic (VGC) analysis (2 observers) comparing VMI to Mix and Threshold-1 images.

RESULTS:

Fifteen subjects were included (7 men, 8 women, mean 57 years, range 46-75). Among all VMIs, SNRs varied by anatomic location. The highest SNRs were observed in VMIs. Radiologists preferred 50-60 keV VMIs for vascular structures and 75-85 keV for all other structures. Cumulative ratings of image quality averaged across all locations were higher for VMIs with areas under the curve of VMI vs Mix and VMI vs Threshold-1 of 0.67 and 0.68 for the first reader and 0.72 and 0.76 for the second, respectively.

CONCLUSION:

Preferred keV level and quality ratings of VMI compared to mixed and Threshold-1 images varied by anatomical location.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cabeça / Pescoço Tipo de estudo: Observational_studies / Qualitative_research Limite: Female / Humans / Male Idioma: En Revista: Clin Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cabeça / Pescoço Tipo de estudo: Observational_studies / Qualitative_research Limite: Female / Humans / Male Idioma: En Revista: Clin Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos
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