Simulated Dose Reduction for Abdominal CT With Filtered Back Projection Technique: Effect on Liver Lesion Detection and Characterization.

Autor: Fält T; 1 Department of Translational Medicine, Medical Radiology, Lund University, Skåne University Hospital, Inga Marie Nilssons Gata 49, Malmö 20502, Sweden., Söderberg M; 2 Department of Translational Medicine, Medical Radiation Physics, Lund University, Skåne University Hospital, Malmö, Sweden., Hörberg L; 1 Department of Translational Medicine, Medical Radiology, Lund University, Skåne University Hospital, Inga Marie Nilssons Gata 49, Malmö 20502, Sweden., Christoffersen C; 1 Department of Translational Medicine, Medical Radiology, Lund University, Skåne University Hospital, Inga Marie Nilssons Gata 49, Malmö 20502, Sweden., Lång K; 1 Department of Translational Medicine, Medical Radiology, Lund University, Skåne University Hospital, Inga Marie Nilssons Gata 49, Malmö 20502, Sweden., Abul-Kasim K; 1 Department of Translational Medicine, Medical Radiology, Lund University, Skåne University Hospital, Inga Marie Nilssons Gata 49, Malmö 20502, Sweden., Leander P; 1 Department of Translational Medicine, Medical Radiology, Lund University, Skåne University Hospital, Inga Marie Nilssons Gata 49, Malmö 20502, Sweden.

Publikováno v: AJR. American journal of roentgenology [AJR Am J Roentgenol] 2019 Jan; Vol. 212 (1), pp. 84-93. Date of Electronic Publication: 2018 Oct 09.

Seesaw balancing radiation dose and i.v. contrast dose: evaluation of a new abdominal CT protocol for reducing age-specific risk.

Autor: Fält T; Department of Radiology, Skåne University Hospital, Lund University, Malmö, Södra Förstadsgatan 101, SE-205 02 Malmö, Sweden. tobiasf@gmail.com, Söderberg M, Hörberg L, Carlgren I, Leander P

Publikováno v: AJR. American journal of roentgenology [AJR Am J Roentgenol] 2013 Feb; Vol. 200 (2), pp. 383-8.

Impact of novel deep learning image reconstruction algorithm on diagnosis of contrast-enhanced liver computed tomography imaging: Comparing to adaptive statistical iterative reconstruction algorithm.

Autor: Yang, Shuo¹ (AUTHOR), Bie, Yifan¹ (AUTHOR), Pang, Guodong¹ (AUTHOR), Li, Xingchao¹ (AUTHOR), Zhao, Kun¹ (AUTHOR), Zhang, Changlei¹ (AUTHOR), Zhong, Hai¹ (AUTHOR) 18753107255@163.com

Publikováno v: Journal of X-Ray Science & Technology. 2021, Vol. 29 Issue 6, p1009-1018. 10p.

Existential Well-being among Young People Leaving Care: Self-feeling, Self-realisation, and Belonging.

Autor: Törrönen, Maritta, Munn-Giddings, Carol, Vornanen, Riitta

Publikováno v: Ethics & Social Welfare; Sep2023, Vol. 17 Issue 3, p295-311, 17p, 3 Charts

Assessment of low-dose paranasal sinus CT imaging using a new deep learning image reconstruction technique in children compared to adaptive statistical iterative reconstruction V (ASiR-V).

Autor: Li, Yang, Liu, Xia, Zhuang, Xun-hui, Wang, Ming-jun, Song, Xiu-feng

Publikováno v: BMC Medical Imaging; 6/3/2022, Vol. 22 Issue 1, p1-9, 9p