Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Xun-hui Zhuang"'
Publikováno v:
BMC Medical Imaging, Vol 22, Iss 1, Pp 1-9 (2022)
Abstract Purpose To compare the effects of deep learning image reconstruction (DLIR) and adaptive statistical iterative reconstruction V (ASiR-V) on image quality in low-dose computed tomography (CT) of paranasal sinuses in children. Methods Low-dose
Externí odkaz:
https://doaj.org/article/b02dd607f4bb489e9564a6a015e64106
Publikováno v:
World Journal of Clinical Cases
BACKGROUND Maple syrup urine disease (MSUD) is a rare autosomal-recessive disorder that affects branched-chain amino acid (BCAA) metabolism and is named after the distinctive sweet odor of affected infants’ urine. This disease is characterized by t
Publikováno v:
BMC medical imaging. 22(1)
Purpose To compare the effects of deep learning image reconstruction (DLIR) and adaptive statistical iterative reconstruction V (ASiR-V) on image quality in low-dose computed tomography (CT) of paranasal sinuses in children. Methods Low-dose CT scans
Publikováno v:
Clinical imaging. 72
Objective Congenital mesoblastic nephroma (CMN) is a rare renal tumor mainly observed in infants and young children. This study aims to analyze the imaging manifestations of CMN to improve the understanding of the disease. Methods The imaging manifes