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577 related items for PubMed ID: 29153358
1. Impact of noise-optimized virtual monoenergetic dual-energy computed tomography on image quality in patients with renal cell carcinoma. Martin SS, Wichmann JL, Pfeifer S, Leithner D, Lenga L, Reynolds MA, D'Angelo T, Hammerstingl R, Gruber-Rouh T, Vogl TJ, Albrecht MH. Eur J Radiol; 2017 Dec; 97():1-7. PubMed ID: 29153358 [Abstract] [Full Text] [Related]
12. Optimal Kiloelectron Volt for Noise-Optimized Virtual Monoenergetic Images of Dual-Energy Pediatric Abdominopelvic Computed Tomography: Preliminary Results. Kim TM, Choi YH, Cheon JE, Kim WS, Kim IO, Park JE, Shin SM, Pak SY, Krauss B. Korean J Radiol; 2019 Feb; 20(2):283-294. PubMed ID: 30672168 [Abstract] [Full Text] [Related]
16. Evaluation of virtual monoenergetic imaging algorithms for dual-energy carotid and intracerebral CT angiography: Effects on image quality, artefacts and diagnostic performance for the detection of stenosis. Leithner D, Mahmoudi S, Wichmann JL, Martin SS, Lenga L, Albrecht MH, Booz C, Arendt CT, Beeres M, D'Angelo T, Bodelle B, Vogl TJ, Scholtz JE. Eur J Radiol; 2018 Feb; 99():111-117. PubMed ID: 29362140 [Abstract] [Full Text] [Related]
17. Noise-Optimized Virtual Monoenergetic Dual-Energy CT Improves Diagnostic Accuracy for the Detection of Active Arterial Bleeding of the Abdomen. Martin SS, Wichmann JL, Scholtz JE, Leithner D, D'Angelo T, Weyer H, Booz C, Lenga L, Vogl TJ, Albrecht MH. J Vasc Interv Radiol; 2017 Sep; 28(9):1257-1266. PubMed ID: 28734847 [Abstract] [Full Text] [Related]
18. Comparison of noise-optimized linearly blended images and noise-optimized virtual monoenergetic images evaluated by dual-source, dual-energy CT in cardiac vein assessment. Kim GM, Choo KS, Kim JH, Hwang JY, Park CK, Lee JW, Lim SJ. Acta Radiol; 2021 May; 62(5):594-602. PubMed ID: 32551805 [Abstract] [Full Text] [Related]
19. Low-keV virtual monoenergetic imaging reconstructions of excretory phase spectral dual-energy CT in patients with urothelial carcinoma: A feasibility study. Zopfs D, Laukamp KR, Pinto Dos Santos D, Sokolowski M, Große Hokamp N, Maintz D, Borggrefe J, Persigehl T, Lennartz S. Eur J Radiol; 2019 Jul; 116():135-143. PubMed ID: 31153554 [Abstract] [Full Text] [Related]
20. Deep learning-based image reconstruction of 40-keV virtual monoenergetic images of dual-energy CT for the assessment of hypoenhancing hepatic metastasis. Lee T, Lee JM, Yoon JH, Joo I, Bae JS, Yoo J, Kim JH, Ahn C, Kim JH. Eur Radiol; 2022 Sep; 32(9):6407-6417. PubMed ID: 35380228 [Abstract] [Full Text] [Related] Page: [Next] [New Search]