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Image quality evaluation of dual-layer spectral detector CT of the chest and comparison with conventional CT imaging
Affiliation:1. Vancouver General Hospital, Department of Radiology, 3350-950 West 10th Avenue, Vancouver, British Columbia V5Z 1M9, Canada;2. University of British Columbia, 3350-950 West 10th Avenue, Vancouver, British Columbia V5Z 1M9, Canada;1. Department of Radiology, Amiens University Hospital, Avenue René Laennec, F-80054, Amiens Cedex 01, France;2. Department of Image Processing, Amiens University Hospital, Avenue René Laennec, F-80054, Amiens Cedex 01, France;3. Department of Vascular Surgery, Amiens University Hospital, Avenue René Laennec, F-80054, Amiens Cedex 01, France;1. Department of Radiology, Academic Medical Centre, Amsterdam, The Netherlands;2. Department of Radiology, Isala, Zwolle, The Netherlands;3. Philips Medical Systems, Brussels, Belgium;4. Philips Medical Systems, Eindhoven, The Netherlands;5. Department of Innovation and Science, Isala, Zwolle, The Netherlands;6. MIRA Institute for Biomedical Technology and Technical Medicine, University of Twente, Enschede, The Netherlands;1. Department of Diagnostic and Interventional Radiology, University Hospital Cologne, Cologne, Germany;2. Department of Radiology, University Hospitals Cleveland, Cleveland, OH, USA;3. Philips Healthcare, Haifa, Israel;4. Department of Medical Statistics and Bioinformatics, University of Cologne, Cologne, Germany;1. Department of Medical Imaging, CHU Nimes, Univ Montpellier, Medical Imaging Group Nimes, EA 2415, Nîmes, France;2. Service d’imagerie médicale, GIE Imagerie, Institut de Cancérologie du Gard, Nîmes, France;3. GE Healthcare, Buc, France;1. Tiantan Neuroimaging Center of Excellence, China National Clinical Research Center for Neurological Diseases, Beijing 100070, China;2. Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China;3. Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China;4. CT Clinical Science, Philips Healthcare, Shenyang 110016, China
Abstract:ObjectivesTo evaluate image quality parameters of virtual mono-energetic (MonoE) and conventional (CR) imaging derived from a dual-layer spectral detector CT (DLCT) in oncological follow-up venous phase imaging of the chest and comparison with conventional multi-detector CT (CRMDCT) imaging.Materials and methodsA total of 55 patients who had oncologic staging with conventional CT and DLCT of the chest in venous phase were included in this study. Established image quality parameters were derived from all datasets in defined thoracic landmarks. Attenuation, image noise, and signal-/contrast- to noise ratios (SNR, CNR) were compared between CRDLCT and MonoE as well as CRMDCT imaging. Two readers performed subjective image analysis.ResultsCRMDCT showed significant lower attenuation values compared to CRDLCT and MonoE at 40–70 keV (p  0.05). Moreover, MonoE at 40–70 keV revealed significantly higher attenuations values compared to CRDLCT (p < 0.001). Noise was statistically lower in CRMDCT compared with CRDLCT and MonoE at 40 keV (11.4 ± 2.3 HU vs. 12.0 ± 3.1 HU vs. 11.7 ± 5.2 HU; p < 0.001). In contrast, all MonoE levels showed significantly lower noise levels compared to CRDLCT (p < 0.001). SNR was not significantly different between CRMDCT and CRDLCT (13.5 ± 3.7 vs. 14.4 ± 5.3; p > 0.99). SNR values were significantly increased for MonoE at 40–80 keV compared to CRMDCT and CRDLCT (p < 0.001). CRDLCT and MonoE (40–70 keV) from DLCT revealed significantly higher CNR values than CRMDCT (p < 0.001). In subjective analysis, MonoE at 40 keV surpassed all other image reconstructions except for noise in MonoE at 70 keV.ConclusionIn dual-layer spectral detector CT, MonoE at low keV showed superior image quality compared to conventional images derived from the same system and may therefore be added to clinical routine imaging protocols. Whether MonoE reconstructions yield additional diagnostic information is still unknown.
Keywords:Dual-layer detector CT  Spectral detector CT  Virtual mono-energetic imaging  Chest
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