Open AccessA 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
Author(s) -
Jun Li,
Jun Gao,
Guangli Wang,
Dingye Cui,
Kai Deng
Publication year - 2021
Publication title -
journal of cancer research and therapeutics/journal of cancer research and therapeutics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.475
H-Index - 39
eISSN - 0973-1482
pISSN - 1998-4138
DOI - 10.4103/jcrt.jcrt_1780_20
Subject(s) - iterative reconstruction , imaging phantom , image quality , nuclear medicine , medicine , image (mathematics) , radiology , artificial intelligence , computer science
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.