A noise-optimized virtual monoenergetic reconstruction algorithm improves the diagnostic accuracy of late hepatic arterial phase dual-energy CT for the detection of hypervascular liver lesions

Objectives To assess the image quality and diagnostic accuracy of a noise-optimized virtual monoenergetic imaging (VMI+) algorithm compared with standard virtual monoenergetic imaging (VMI) and linearly-blended (M_0.6) reconstructions for the detection of hypervascular liver lesions in dual-energy C...

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Veröffentlicht in:	European radiology 2018-08, Vol.28 (8), p.3393-3404
Hauptverfasser:	De Cecco, Carlo N., Caruso, Damiano, Schoepf, U. Joseph, De Santis, Domenico, Muscogiuri, Giuseppe, Albrecht, Moritz H., Meinel, Felix G., Wichmann, Julian L., Burchett, Philip F., Varga-Szemes, Akos, Sheafor, Douglas H., Hardie, Andrew D.
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Adult Aged Algorithms Computed Tomography Diagnostic Radiology Diagnostic systems Female Humans Image acquisition Image contrast Image detection Image Processing, Computer-Assisted - methods Image quality Image reconstruction Imaging Internal Medicine Interventional Radiology Iodine Lesions Liver Liver - blood supply Liver - diagnostic imaging Liver Neoplasms - blood supply Liver Neoplasms - diagnostic imaging Magnetic resonance imaging Male Mathematical analysis Medical diagnosis Medicine Medicine & Public Health Middle Aged Neuroradiology Noise Parenchyma Prospective Studies Quality Quality assessment Radiography, Dual-Energy Scanned Projection - methods Radiology Reproducibility of Results Sensitivity analysis Sensitivity and Specificity Signal-To-Noise Ratio Tomography, X-Ray Computed - methods Ultrasound
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