1. |
Elmokadem AH, Ibrahim EA, Gouda WA, Khalek Abdel Razek AA. Whole-body computed tomography using low-dose biphasic injection protocol with adaptive statistical iterative reconstruction V: Assessment of dose reduction and image quality in trauma patients. J Comput Assist Tomogr 2019;43:870-6.
|
2. |
Lee NK, Kim S, Hong SB, Kim TU, Ryu H, Lee JW, et al. Low-dose CT with the adaptive statistical iterative reconstruction V technique in abdominal organ injury: Comparison with routine-dose CT with filtered back projection. AJR Am J Roentgenol 2019;213:659-66.
|
3. |
Widmann G, Juranek D, Waldenberger F, Schullian P, Dennhardt A, Hoermann R, et al. Influence of ultra-low-dose and iterative reconstructions on the visualization of orbital soft tissues on maxillofacial CT. AJNR Am J Neuroradiol 2017;38:1630-5.
|
4. |
Power SP, Moloney F, Twomey M, James K, O'Connor OJ, Maher MM. Computed tomography and patient risk: Facts, perceptions and uncertainties. World J Radiol 2016;8:902-15.
|
5. |
Patro SN, Chakraborty S, Sheikh A. The use of adaptive statistical iterative reconstruction (ASiR) technique in evaluation of patients with cervical spine trauma: Impact on radiation dose reduction and image quality. Br J Radiol 2016;89:20150082.
|
6. |
Jensen CT, Liu X, Tamm EP, Chandler AG, Sun J, Morani AC, et al. Image quality assessment of abdominal CT by use of new deep learning image reconstruction: Initial experience. AJR Am J Roentgenol 2020;215:50-7.
|
7. |
Han WK, Na JC, Park SY. Low-dose CT angiography using ASiR-V for potential living renal donors: A prospective analysis of image quality and diagnostic accuracy. Eur Radiol 2020;30:798-805.
|
8. |
Kahn J, Kaul D, Böning G, Rotzinger R, Freyhardt P, Schwabe P, et al. Quality and dose optimized CT trauma protocol–recommendation from a university level-I trauma center. In: RöFo-Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. Vol. 189. © Georg Thieme Verlag KG; 2017. p. 844-54.
|
9. |
Alagic Z, Eriksson A, Drageryd E, Motamed SR, Wick MC. A new low-dose multi-phase trauma CT protocol and its impact on diagnostic assessment and radiation dose in multi-trauma patients. Emerg Radiol 2017;24:509-18.
|
10. |
Chen LH, Jin C, Li JY, Wang GL, Jia YJ, Duan HF, et al. Image quality comparison of two adaptive statistical iterative reconstruction (ASiR, ASiR-V) algorithms and filtered back projection in routine liver CT. Br J Radiol 2018;91:20170655.
|
11. |
Rotzinger DC, Racine D, Beigelman-Aubry C, Alfudhili KM, Keller N, Monnin P, et al. Task-based model observer assessment of a partial model-based iterative reconstruction algorithm in thoracic oncologic multidetector CT. Sci Rep 2018;8:17734.
|
12. |
Euler A, Solomon J, Marin D, Nelson RC, Samei E. A third-generation adaptive statistical iterative reconstruction technique: Phantom study of image noise, spatial resolution, lesion detectability, and dose reduction potential. AJR Am J Roentgenol 2018;210:1301-8.
|
13. |
Ge D, Zhang L, Cavaro-Ménard C, Le Callet P. Numerical stability issues on channelized hotelling observer under different background assumptions. J Opt Soc Am A Opt Image Sci Vis 2014;31:1112-7.
|
14. |
Zhou W, Li H, Anastasio MA. Approximating the ideal observer and hotelling observer for binary signal detection tasks by use of supervised learning methods. IEEE Trans Med Imaging 2019;38:2456-68.
|
15. |
Kim G, Han M, Shim H, Baek J. A convolutional neural network-based model observer for breast CT images. Med Phys 2020;47:1619-32.
|
16. |
Singh S, Kalra MK, Gilman MD, Hsieh J, Pien HH, Digumarthy SR, et al. Adaptive statistical iterative reconstruction technique for radiation dose reduction in chest CT: A pilot study. Radiology 2011;259:565-73.
|
17. |
Sagara Y, Hara AK, Pavlicek W, Silva AC, Paden RG, Wu Q. Abdominal CT: Comparison of low-dose CT with adaptive statistical iterative reconstruction and routine-dose CT with filtered back projection in 53 patients. AJR Am J Roentgenol 2010;195:713-9.
|
18. |
Shah SM, Deep K, Siramanakul C, Mahajan V, Picard F, Allen DJ. Computer navigation helps reduce the incidence of noise after ceramic-on-ceramic total hip arthroplasty. J Arthroplasty 2017;32:2783-7.
|
19. |
Lee E, Kim DS. Precision analysis of the noise power spectrum estimate in radiography imaging. In: Medical Imaging 2018: Physics of Medical Imaging. Vol. 10573. SPIE; 2018. p. 1550-7.
|
20. |
Metheany KG, Abbey CK, Packard N, Boone JM. Characterizing anatomical variability in breast CT images. Med Phys 2008;35:4685-94.
|
21. |
Lee SH, Kim MJ, Yoon CS, Lee MJ. Radiation dose reduction with the adaptive statistical iterative reconstruction (ASIR) technique for chest CT in children: An intra-individual comparison. Eur J Radiol 2012;81:e938-43.
|
22. |
Deák Z, Grimm JM, Treitl M, Geyer LL, Linsenmaier U, Körner M, et al. Filtered back projection, adaptive statistical iterative reconstruction, and a model-based iterative reconstruction in abdominal CT: An experimental clinical study. Radiology 2013;266:197-206.
|
23. |
Prezzi D, Owczarczyk K, Bassett P, Siddique M, Breen DJ, Cook GJ, et al. Adaptive statistical iterative reconstruction (ASIR) affects CT radiomics quantification in primary colorectal cancer. Eur Radiol 2019;29:5227-35.
|
24. |
Gatti M, Marchisio F, Fronda M, Rampado O, Faletti R, Bergamasco L, et al. Adaptive statistical iterative reconstruction-V versus adaptive statistical iterative reconstruction: Impact on dose reduction and image quality in body computed tomography. J Comput Assist Tomogr 2018;42:191-6.
|
25. |
Kazerooni EA, Armstrong MR, Amorosa JK, Hernandez D, Liebscher LA, Nath H, et al. ACR CT accreditation program and the lung cancer screening program designation. J Am Coll Radiol 2015;12:38-42.
|
26. |
Siewerdsen J, Cunningham I, Jaffray D. A framework for noise-power spectrum analysis of multidimensional images. Med Phys 2002;29:2655-71.
|
27. |
Bellesi L, Wyttenbach R, Gaudino D, Colleoni P, Pupillo F, Carrara M, et al. A simple method for low-contrast detectability, image quality and dose optimisation with CT iterative reconstruction algorithms and model observers. Eur Radiol Exp 2017;1:18.
|
28. |
Yu L, Leng S, Chen L, Kofler JM, Carter RE, McCollough CH. Prediction of human observer performance in a 2-alternative forced choice low-contrast detection task using channelized hotelling observer: Impact of radiation dose and reconstruction algorithms. Med Phys 2013;40:041908.
|
29. |
Solomon J, Samei E. Correlation between human detection accuracy and observer model-based image quality metrics in computed tomography. J Med Imaging (Bellingham) 2016;3:035506.
|
30. |
Noferini L, Taddeucci A, Bartolini M, Bruschi A, Menchi I. CT image quality assessment by a Channelized Hotelling Observer (CHO): Application to protocol optimization. Phys Med 2016;32:1717-23.
|