[Evaluation of ultra-low-dose thoracic multi-detector-row CT using different reconstruction kernels and new reconstruction algorithms].
CT has great advantages in detecting early-stage small lung cancer and is becoming common in lung cancer screening. Multi-detector-row CT (MDCT) can provide thin-slice images with low radiation exposure. In this study, ultra-low-dose (5 mAs: 10 mAs, 0.5 sec/rot) thoracic MDCT images were evaluated. We describe the differences in image quality and quantity between the different reconstruction kernels. We also propose a new reconstruction algorithm (ultra-low-dose reconstruction algorithm: ULR) for ultra-low-dose thoracic CT, to reduce noise and streak artifacts. We are convinced of the usefulness and possibility of ultra-low-dose thoracic MDCT with ULR algorithms for lung cancer screening.
Fujita
Akifumi
A
Department of Radiology, Showa University Fujigaoka Hospital.
Imai
Yasuhiro
Y
Shen
Yun
Y
Kinebuchi
Yuko
Y
Yamamoto
Wakako
W
Hayashi
Takaki
T
Kubota
Hayato
H
Obuchi
Masao
M
Honda
Minoru
M
Sugimoto
Hideharu
H
D000465:Algorithms; D006801:Humans; D008175:Lung Neoplasms / Q000000981:diagnostic imaging; D011829:Radiation Dosage; D013902:Radiography, Thoracic / Q000379:methods*; D014057:Tomography, X-Ray Computed / Q000379:methods*