A phantom study using dual-energy spectral computed tomography imaging: Comparison of image quality between two adaptive statistical iterative reconstruction (ASiR, ASiR-V) algorithms for evaluating ground-glass nodules of the lung

Aims: To assess the image quality of the two adaptive statistical iterative reconstruction (ASiR and ASiR-V) algorithms for evaluating ground-glass nodules (GGNs) of the lung. Subjects and Methods: The chest phantom with ground-glass simulated pulmonary nodules was scanned by dual-energy spectral co...

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Vydáno v:	Journal of cancer research and therapeutics Ročník 17; číslo 7; s. 1742 - 1747
Hlavní autoři:	Li, Jun, Gao, Jun, Wang, Guangli, Cui, Dingye, Deng, Kai
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	India Wolters Kluwer India Pvt. Ltd 01.12.2021 Medknow Publications and Media Pvt. Ltd Medknow Publications & Media Pvt. Ltd
Témata:	Algorithms Comparative analysis CT imaging Diagnosis Humans Image processing Lung - diagnostic imaging Lung tumors Methods Noise Radiation Dosage Radiographic Image Interpretation, Computer-Assisted - methods Signal-To-Noise Ratio Tomography Tomography, X-Ray Computed - methods China computed tomography image quality pulmonary nodules spectral computed tomography Adaptive statistical iterative reconstruction
ISSN:	0973-1482, 1998-4138, 1998-4138
On-line přístup:	Získat plný text
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