These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
Pubmed for Handhelds
PUBMED FOR HANDHELDS
Journal Abstract Search
444 related items for PubMed ID: 31270983
1. Accuracy of Model-Based Iterative Reconstruction for CT Volumetry of Part-Solid Nodules and Solid Nodules in Comparison with Filtered Back Projection and Hybrid Iterative Reconstruction at Various Dose Settings: An Anthropomorphic Chest Phantom Study. Kim SK, Kim C, Lee KY, Cha J, Lim HJ, Kang EY, Oh YW. Korean J Radiol; 2019 Jul; 20(7):1195-1206. PubMed ID: 31270983 [Abstract] [Full Text] [Related]
2. Volumetric measurement of artificial pure ground-glass nodules at low-dose CT: Comparisons between hybrid iterative reconstruction and filtered back projection. Sakai N, Yabuuchi H, Kondo M, Kojima T, Nagatomo K, Kawanami S, Kamitani T, Yonezawa M, Nagao M, Honda H. Eur J Radiol; 2015 Dec; 84(12):2654-62. PubMed ID: 26362824 [Abstract] [Full Text] [Related]
3. Comparison of Filtered Back Projection, Hybrid Iterative Reconstruction, Model-Based Iterative Reconstruction, and Virtual Monoenergetic Reconstruction Images at Both Low- and Standard-Dose Settings in Measurement of Emphysema Volume and Airway Wall Thickness: A CT Phantom Study. Kim C, Lee KY, Shin C, Kang EY, Oh YW, Ha M, Ko CS, Cha J. Korean J Radiol; 2018 Dec; 19(4):809-817. PubMed ID: 29962888 [Abstract] [Full Text] [Related]
4. Ultra-low-dose spectral-detector computed tomography for the accurate quantification of pulmonary nodules: an anthropomorphic chest phantom study. Zhou X, Zhang H, Jin X, Zhang X, Lu X, Han Q, Xiong X, Liu T, Feng Y, Tu W, Zhou T, Ge Y, Dong P, Liu S, Fan L. Diagn Interv Radiol; 2023 Sep 05; 29(5):691-703. PubMed ID: 37559745 [Abstract] [Full Text] [Related]
5. Accuracy of two deep learning-based reconstruction methods compared with an adaptive statistical iterative reconstruction method for solid and ground-glass nodule volumetry on low-dose and ultra-low-dose chest computed tomography: A phantom study. Kim C, Kwack T, Kim W, Cha J, Yang Z, Yong HS. PLoS One; 2022 Sep 05; 17(6):e0270122. PubMed ID: 35737734 [Abstract] [Full Text] [Related]
6. Ultra-low peak voltage CT colonography: effect of iterative reconstruction algorithms on performance of radiologists who use anthropomorphic colonic phantoms. Shin CI, Kim SH, Lee ES, Lee DH, Hwang EJ, Chung SY, Lee JM, Han JK, Choi BI. Radiology; 2014 Dec 05; 273(3):759-71. PubMed ID: 25010640 [Abstract] [Full Text] [Related]
7. Screening for lung cancer using sub-millisievert chest CT with iterative reconstruction algorithm: image quality and nodule detectability. Zhang M, Qi W, Sun Y, Jiang Y, Liu X, Hong N. Br J Radiol; 2018 Oct 05; 91(1090):20170658. PubMed ID: 29120665 [Abstract] [Full Text] [Related]
8. Knowledge-based iterative reconstructions for imaging of coronary artery stents: first in-vitro experience and comparison of different radiation dose levels and kernel settings. Hickethier T, Baeßler B, Kroeger JR, Müller D, Maintz D, Michels G, Bunck AC. Acta Radiol; 2019 Feb 05; 60(2):160-167. PubMed ID: 29807442 [Abstract] [Full Text] [Related]
9. Effect of radiation dose and iterative reconstruction on lung lesion conspicuity at MDCT: does one size fit all? Botelho MP, Agrawal R, Gonzalez-Guindalini FD, Hart EM, Patel SK, Töre HG, Yaghmai V. Eur J Radiol; 2013 Nov 05; 82(11):e726-33. PubMed ID: 23928232 [Abstract] [Full Text] [Related]
10. Influence of radiation dose and iterative reconstruction algorithms for measurement accuracy and reproducibility of pulmonary nodule volumetry: A phantom study. Kim H, Park CM, Song YS, Lee SM, Goo JM. Eur J Radiol; 2014 May 05; 83(5):848-57. PubMed ID: 24572380 [Abstract] [Full Text] [Related]
11. Impact of radiation dose and iterative reconstruction on pulmonary nodule measurements at chest CT: a phantom study. Kim H, Park CM, Chae HD, Lee SM, Goo JM. Diagn Interv Radiol; 2015 May 05; 21(6):459-65. PubMed ID: 26359871 [Abstract] [Full Text] [Related]
12. Chest CT with iterative reconstruction algorithms for airway stent evaluation in patients with malignant obstructive tracheobronchial diseases. Li T, Zhang Y, Wang Y, Gao J, Jiang Y. Medicine (Baltimore); 2016 Sep 05; 95(39):e4873. PubMed ID: 27684818 [Abstract] [Full Text] [Related]
13. Iterative reconstruction algorithm for abdominal multidetector CT at different tube voltages: assessment of diagnostic accuracy, image quality, and radiation dose in a phantom study. Schindera ST, Diedrichsen L, Müller HC, Rusch O, Marin D, Schmidt B, Raupach R, Vock P, Szucs-Farkas Z. Radiology; 2011 Aug 05; 260(2):454-62. PubMed ID: 21493795 [Abstract] [Full Text] [Related]
14. Determination of optimal imaging settings for urolithiasis CT using filtered back projection (FBP), statistical iterative reconstruction (IR) and knowledge-based iterative model reconstruction (IMR): a physical human phantom study. Choi SY, Ahn SH, Choi JD, Kim JH, Lee BI, Kim JI, Park SB. Br J Radiol; 2016 Aug 05; 89(1058):20150527. PubMed ID: 26577542 [Abstract] [Full Text] [Related]
15. Impact of Knowledge-Based Iterative Model Reconstruction in Abdominal Dynamic CT With Low Tube Voltage and Low Contrast Dose. Iyama Y, Nakaura T, Yokoyama K, Kidoh M, Harada K, Tokuyasu S, Yamashita Y. AJR Am J Roentgenol; 2016 Apr 05; 206(4):687-93. PubMed ID: 26974470 [Abstract] [Full Text] [Related]
16. Knowledge-based iterative model reconstruction: comparative image quality and radiation dose with a pediatric computed tomography phantom. Ryu YJ, Choi YH, Cheon JE, Ha S, Kim WS, Kim IO. Pediatr Radiol; 2016 Mar 05; 46(3):303-15. PubMed ID: 26546568 [Abstract] [Full Text] [Related]
17. Systematic error in lung nodule volumetry: effect of iterative reconstruction versus filtered back projection at different CT parameters. Willemink MJ, Leiner T, Budde RP, de Kort FP, Vliegenthart R, van Ooijen PM, Oudkerk M, de Jong PA. AJR Am J Roentgenol; 2012 Dec 05; 199(6):1241-6. PubMed ID: 23169714 [Abstract] [Full Text] [Related]
18. Effect of radiation dose reduction and iterative reconstruction on computer-aided detection of pulmonary nodules: Intra-individual comparison. Den Harder AM, Willemink MJ, van Hamersvelt RW, Vonken EJ, Milles J, Schilham AM, Lammers JW, de Jong PA, Leiner T, Budde RP. Eur J Radiol; 2016 Feb 05; 85(2):346-51. PubMed ID: 26781139 [Abstract] [Full Text] [Related]
19. Knowledge-based iterative model reconstruction in coronary computed tomography angiography: comparison with hybrid iterative reconstruction and filtered back projection. Cha MJ, Seo JS, Yoo DS, Chong S. Acta Radiol; 2018 Mar 05; 59(3):280-286. PubMed ID: 28648124 [Abstract] [Full Text] [Related]
20. Knowledge-based iterative model reconstruction (IMR) algorithm in ultralow-dose CT for evaluation of urolithiasis: evaluation of radiation dose reduction, image quality, and diagnostic performance. Park SB, Kim YS, Lee JB, Park HJ. Abdom Imaging; 2015 Oct 05; 40(8):3137-46. PubMed ID: 26197735 [Abstract] [Full Text] [Related] Page: [Next] [New Search]