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259 related items for PubMed ID: 22752461
1. Impact of iterative reconstruction on CNR and SNR in dynamic myocardial perfusion imaging in an animal model. Gramer BM, Muenzel D, Leber V, von Thaden AK, Feussner H, Schneider A, Vembar M, Soni N, Rummeny EJ, Huber AM. Eur Radiol; 2012 Dec; 22(12):2654-61. PubMed ID: 22752461 [Abstract] [Full Text] [Related]
10. Iterative model reconstruction: improved image quality of low-tube-voltage prospective ECG-gated coronary CT angiography images at 256-slice CT. Oda S, Weissman G, Vembar M, Weigold WG. Eur J Radiol; 2014 Aug; 83(8):1408-15. PubMed ID: 24873832 [Abstract] [Full Text] [Related]
11. Improved visualization of the coronary arteries using motion correction during vasodilator stress CT myocardial perfusion imaging. Balaney B, Vembar M, Grass M, Singh A, Kawaji K, Landeras L, Chung J, Mor-Avi V, Patel AR. Eur J Radiol; 2019 May; 114():1-5. PubMed ID: 31005158 [Abstract] [Full Text] [Related]
12. Low dose dynamic CT myocardial perfusion imaging using a statistical iterative reconstruction method. Tao Y, Chen GH, Hacker TA, Raval AN, Van Lysel MS, Speidel MA. Med Phys; 2014 Jul; 41(7):071914. PubMed ID: 24989392 [Abstract] [Full Text] [Related]
13. The feasibility of sub-millisievert coronary CT angiography with low tube voltage, prospective ECG gating, and a knowledge-based iterative model reconstruction algorithm. Park CH, Lee J, Oh C, Han KH, Kim TH. Int J Cardiovasc Imaging; 2015 Dec; 31 Suppl 2():197-203. PubMed ID: 26521066 [Abstract] [Full Text] [Related]
14. Clinical application of four-dimensional noise reduction filtering with a similarity algorithm in dynamic myocardial computed tomography perfusion imaging. Kouchi T, Tanabe Y, Smit EJ, Kido T, Kurata A, Kouchi Y, Nishiyama H, Uetani T, Ikeda S, Yamaguchi O, Prokop M, Mochizuki T. Int J Cardiovasc Imaging; 2020 Sep; 36(9):1781-1789. PubMed ID: 32399762 [Abstract] [Full Text] [Related]
15. [Application of Deep Learning Reconstruction Algorithm in Low-Dose Thin-Slice Liver CT of Healthy Volunteers]. Zeng LM, Xu X, Zeng W, Peng WL, Zhang JG, Hu SX, Liu KL, Xia CC, Li ZL. Sichuan Da Xue Xue Bao Yi Xue Ban; 2021 Sep; 52(5):807-812. PubMed ID: 34622597 [Abstract] [Full Text] [Related]
16. Low-concentration contrast medium for 128-slice dual-source CT coronary angiography at a very low radiation dose using prospectively ECG-triggered high-pitch spiral acquisition. Zheng M, Wu Y, Wei M, Liu Y, Zhao H, Li J. Acad Radiol; 2015 Feb; 22(2):195-202. PubMed ID: 25457735 [Abstract] [Full Text] [Related]
17. Quantitative Image Quality and Histogram-Based Evaluations of an Iterative Reconstruction Algorithm at Low-to-Ultralow Radiation Dose Levels: A Phantom Study in Chest CT. Lee KB, Goo HW. Korean J Radiol; 2018 Feb; 19(1):119-129. PubMed ID: 29354008 [Abstract] [Full Text] [Related]
18. Effect of reduced x-ray tube voltage, low iodine concentration contrast medium, and sinogram-affirmed iterative reconstruction on image quality and radiation dose at coronary CT angiography: results of the prospective multicenter REALISE trial. Yin WH, Lu B, Gao JB, Li PL, Sun K, Wu ZF, Yang WJ, Zhang XQ, Zheng MW, McQuiston AD, Meinel FG, Schoepf UJ. J Cardiovasc Comput Tomogr; 2015 Feb; 9(3):215-24. PubMed ID: 25843243 [Abstract] [Full Text] [Related]
19. Diagnostic efficacy of model-based iterative reconstruction algorithm in an assessment of coronary artery in comparison with standard hybrid-Iterative reconstruction algorithm: dose reduction and image quality. Ippolito D, Riva L, Talei Franzesi CR, Cangiotti C, De Vito A, Di Gennaro F, D'andrea G, Crespi A, Sironi S. Radiol Med; 2019 May; 124(5):350-359. PubMed ID: 30539411 [Abstract] [Full Text] [Related]
20. A hybrid iterative reconstruction algorithm that improves the image quality of low-tube-voltage coronary CT angiography. Oda S, Utsunomiya D, Funama Y, Yonenaga K, Namimoto T, Nakaura T, Yamashita Y. AJR Am J Roentgenol; 2012 May; 198(5):1126-31. PubMed ID: 22528903 [Abstract] [Full Text] [Related] Page: [Next] [New Search]