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

[1] Meier A(2015)Advanced virtual monoenergetic images: improving the contrast of dual-energy CT pulmonary angiography Clin Radiol 70 1244-1251

[2] Wurnig M(2015)The importance of spectral separation: an assessment of dual-energy spectral separation for quantitative ability and dose efficiency Invest Radiol 50 114-118

[3] Desbiolles L(2014)Closing in on the K edge: coronary CT angiography at 100, 80, and 70 kV-initial comparison of a second- versus a third-generation dual-source CT system Radiology 273 373-382

[4] Leschka S(2015)Advanced virtual monoenergetic computed tomography of hyperattenuating and hypoattenuating liver lesions: ex-vivo and patient experience in various body sizes Invest Radiol 50 695-702

[5] Frauenfelder T(2014)Dual-energy liver CT: effect of monochromatic imaging on lesion detection, conspicuity, and contrast-to-noise ratio of hypervascular lesions on late arterial phase AJR Am J Roentgenol 203 601-606

[6] Alkadhi H(2014)Objective and subjective image quality of liver parenchyma and hepatic metastases with virtual monoenergetic dual-source dual-energy CT reconstructions: an analysis in patients with gastrointestinal stromal tumor Acad Radiol 21 514-522

[7] Krauss B(2012)Virtual monochromatic spectral imaging for the evaluation of hypovascular hepatic metastases: the optimal monochromatic level with fast kilovoltage switching dual-energy computed tomography Invest Radiol 47 292-298

[8] Grant KL(2013)Spectral optimization of chest CT angiography with reduced iodine load: experience in 80 patients evaluated with dual-source, dual-energy CT Radiology 267 256-266

[9] Schmidt BT(2014)Dual-energy MDCT in hypervascular liver tumors: effect of body size on selection of the optimal monochromatic energy level AJR Am J Roentgenol 203 1257-1264

[10] Flohr TG(2014)Assessment of an advanced image-based technique to calculate virtual monoenergetic computed tomographic images from a dual-energy examination to improve contrast-to-noise ratio in examinations using iodinated contrast media Invest Radiol 49 586-592

[1] Meier A(2015)Advanced virtual monoenergetic images: improving the contrast of dual-energy CT pulmonary angiography Clin Radiol 70 1244-1251

[2] Wurnig M(2015)The importance of spectral separation: an assessment of dual-energy spectral separation for quantitative ability and dose efficiency Invest Radiol 50 114-118

[3] Desbiolles L(2014)Closing in on the K edge: coronary CT angiography at 100, 80, and 70 kV-initial comparison of a second- versus a third-generation dual-source CT system Radiology 273 373-382

[4] Leschka S(2015)Advanced virtual monoenergetic computed tomography of hyperattenuating and hypoattenuating liver lesions: ex-vivo and patient experience in various body sizes Invest Radiol 50 695-702

[5] Frauenfelder T(2014)Dual-energy liver CT: effect of monochromatic imaging on lesion detection, conspicuity, and contrast-to-noise ratio of hypervascular lesions on late arterial phase AJR Am J Roentgenol 203 601-606

[6] Alkadhi H(2014)Objective and subjective image quality of liver parenchyma and hepatic metastases with virtual monoenergetic dual-source dual-energy CT reconstructions: an analysis in patients with gastrointestinal stromal tumor Acad Radiol 21 514-522

[7] Krauss B(2012)Virtual monochromatic spectral imaging for the evaluation of hypovascular hepatic metastases: the optimal monochromatic level with fast kilovoltage switching dual-energy computed tomography Invest Radiol 47 292-298

[8] Grant KL(2013)Spectral optimization of chest CT angiography with reduced iodine load: experience in 80 patients evaluated with dual-source, dual-energy CT Radiology 267 256-266

[9] Schmidt BT(2014)Dual-energy MDCT in hypervascular liver tumors: effect of body size on selection of the optimal monochromatic energy level AJR Am J Roentgenol 203 1257-1264

[10] Flohr TG(2014)Assessment of an advanced image-based technique to calculate virtual monoenergetic computed tomographic images from a dual-energy examination to improve contrast-to-noise ratio in examinations using iodinated contrast media Invest Radiol 49 586-592