title: [Evaluation of ultra-low-dose thoracic multi-detector-row CT using different reconstruction kernels and new reconstruction algorithms].
abstract: 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.
authors.affiliation: Department of Radiology, Showa University Fujigaoka Hospital.
authors.forename: Akifumi
authors.initials: A
authors.lastname: Fujita
authors.forename: Yasuhiro
authors.initials: Y
authors.lastname: Imai
authors.forename: Yun
authors.initials: Y
authors.lastname: Shen
authors.forename: Yuko
authors.initials: Y
authors.lastname: Kinebuchi
authors.forename: Wakako
authors.initials: W
authors.lastname: Yamamoto
authors.forename: Takaki
authors.initials: T
authors.lastname: Hayashi
authors.forename: Hayato
authors.initials: H
authors.lastname: Kubota
authors.forename: Masao
authors.initials: M
authors.lastname: Obuchi
authors.forename: Minoru
authors.initials: M
authors.lastname: Honda
authors.forename: Hideharu
authors.initials: H
authors.lastname: Sugimoto
mesh_terms: 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*