Carotid dual-energy CT angiography

• Verfasst von: Riffel, Philipp [VerfasserIn]
• Verfasst von: Haubenreisser, Holger [VerfasserIn]
• Verfasst von: Meyer, Mathias [VerfasserIn]
• Verfasst von: Janssen, Sonja [VerfasserIn]
• Verfasst von: Schönberg, Stefan [VerfasserIn]
• Verfasst von: Henzler, Thomas [VerfasserIn]
• Titel: Carotid dual-energy CT angiography
• Titelzusatz: evaluation of low keV calculated monoenergetic datasets by means of a frequency-split approach for noise reduction at low keV levels
• Verf.angabe: Philipp Riffel, Holger Haubenreisser, Mathias Meyer, Sonja Sudarski, John N. Morelli, Bernhard Schmidt, Stefan O. Schoenberg, Thomas Henzler
• E-Jahr: 2016
• Jahr: April 2016
• Umfang: 6 S.
• Teil: volume:85
• Teil: year:2016
• Teil: number:4
• Teil: pages:720-725
• Teil: extent:6
• Fussnoten: Gesehen am 18.04.2019
• Titel Quelle: Enthalten in: European journal of radiology
• Ort Quelle: Amsterdam [u.a.] : Elsevier Science, 1990
• Jahr Quelle: 2016
• Band/Heft Quelle: 85(2016), 4, Seite 720-725
• ISSN Quelle: 1872-7727
• DOI: doi:10.1016/j.ejrad.2016.01.015
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Calculated monoenergetic low keV images
• Sach-SW: Dual energy CT
• Sach-SW: Frequency-split technique
• K10plus-PPN: 1663444439

Abstract

Background and purpose - Calculated monoenergetic ultra-low keV datasets did not lead to improved contrast-to-noise ratio (CNR) due to the dramatic increase in image noise. The aim of the present study was to evaluate the objective image quality of ultra-low keV monoenergetic images (MEIs) calculated from carotid DECT angiography data with a new monoenergetic imaging algorithm using a frequency-split technique. - Materials and methods - 20 patients (12 male; mean age 53±17 years) were retrospectively analyzed. MEIs from 40 to 120keV were reconstructed using the monoenergetic split frequency approach (MFSA). Additionally MEIs were reconstructed for 40 and 50keV using a conventional monoenergetic (CM) software application. Signal intensity, noise, signal-to-noise ratio (SNR) and CNR were assessed in the basilar, common, internal carotid arteries. - Results - Ultra-low keV MEIs at 40keV and 50keV demonstrated highest vessel attenuation, significantly greater than those of the polyenergetic images (PEI) (all p-values <0.05). The highest SNR level and CNR level was found at 40keV and 50keV (all p-values <0.05). MEIs with MFSA showed significantly lower noise levels than those processed with CM (all p-values <0.05) and no significant differences in vessel attenuation (p>0.05). Thus MEIs with MFSA showed significantly higher SNR and CNR compared to MEIs with CM. - Conclusion - Combining the lower spatial frequency stack for contrast at low keV levels with the high spatial frequency stack for noise at high keV levels (frequency-split technique) leads to improved image quality of ultra-low keV monoenergetic DECT datasets when compared to previous monoenergetic reconstruction techniques without the frequency-split technique.