154 related articles for article (PubMed ID: 32495272)
1. Effects of different levels of CT iterative reconstruction on low-contrast detectability and radiation dose in patients of different sizes: an anthropomorphic phantom study.
Rampado O; Depaoli A; Marchisio F; Gatti M; Racine D; Ruggeri V; Ruggirello I; Darvizeh F; Fonio P; Ropolo R
Radiol Med; 2021 Jan; 126(1):55-62. PubMed ID: 32495272
[TBL] [Abstract][Full Text] [Related]
2. A Third-Generation Adaptive Statistical Iterative Reconstruction Technique: Phantom Study of Image Noise, Spatial Resolution, Lesion Detectability, and Dose Reduction Potential.
Euler A; Solomon J; Marin D; Nelson RC; Samei E
AJR Am J Roentgenol; 2018 Jun; 210(6):1301-1308. PubMed ID: 29702019
[TBL] [Abstract][Full Text] [Related]
3. Image texture, low contrast liver lesion detectability and impact on dose: Deep learning algorithm compared to partial model-based iterative reconstruction.
Racine D; Brat HG; Dufour B; Steity JM; Hussenot M; Rizk B; Fournier D; Zanca F
Eur J Radiol; 2021 Aug; 141():109808. PubMed ID: 34120010
[TBL] [Abstract][Full Text] [Related]
4. Objective assessment of low contrast detectability in computed tomography with Channelized Hotelling Observer.
Racine D; Ba AH; Ott JG; Bochud FO; Verdun FR
Phys Med; 2016 Jan; 32(1):76-83. PubMed ID: 26515665
[TBL] [Abstract][Full Text] [Related]
5. Performance evaluation of iterative reconstruction algorithms for achieving CT radiation dose reduction - a phantom study.
Dodge CT; Tamm EP; Cody DD; Liu X; Jensen CT; Wei W; Kundra V; Rong XJ
J Appl Clin Med Phys; 2016 Mar; 17(2):511-531. PubMed ID: 27074454
[TBL] [Abstract][Full Text] [Related]
6. Characterization of a computed tomography iterative reconstruction algorithm by image quality evaluations with an anthropomorphic phantom.
Rampado O; Bossi L; Garabello D; Davini O; Ropolo R
Eur J Radiol; 2012 Nov; 81(11):3172-7. PubMed ID: 22817847
[TBL] [Abstract][Full Text] [Related]
7. Initial phantom study comparing image quality in computed tomography using adaptive statistical iterative reconstruction and new adaptive statistical iterative reconstruction v.
Lim K; Kwon H; Cho J; Oh J; Yoon S; Kang M; Ha D; Lee J; Kang E
J Comput Assist Tomogr; 2015; 39(3):443-8. PubMed ID: 25654782
[TBL] [Abstract][Full Text] [Related]
8. Effects of various generations of iterative CT reconstruction algorithms on low-contrast detectability as a function of the effective abdominal diameter: A quantitative task-based phantom study.
Viry A; Aberle C; Racine D; Knebel JF; Schindera ST; Schmidt S; Becce F; Verdun FR
Phys Med; 2018 Apr; 48():111-118. PubMed ID: 29728223
[TBL] [Abstract][Full Text] [Related]
9. Ultra-low dose chest computed tomography: Effect of iterative reconstruction levels on image quality.
Afadzi M; Lysvik EK; Andersen HK; Martinsen ACT
Eur J Radiol; 2019 May; 114():62-68. PubMed ID: 31005179
[TBL] [Abstract][Full Text] [Related]
10. Noise and spatial resolution properties of a commercially available deep learning-based CT reconstruction algorithm.
Solomon J; Lyu P; Marin D; Samei E
Med Phys; 2020 Sep; 47(9):3961-3971. PubMed ID: 32506661
[TBL] [Abstract][Full Text] [Related]
11. [Combined use of wide-detector and adaptive statistical iterative reconstruction-V technique in abdominal CT with low radiation dose].
Wang HX; Lü PJ; Yue SW; Chang LY; Li Y; Zhao HP; Li WR; Gao JB
Zhonghua Yi Xue Za Zhi; 2017 Dec; 97(45):3567-3572. PubMed ID: 29275597
[No Abstract] [Full Text] [Related]
12. Task-based characterization of a deep learning image reconstruction and comparison with filtered back-projection and a partial model-based iterative reconstruction in abdominal CT: A phantom study.
Racine D; Becce F; Viry A; Monnin P; Thomsen B; Verdun FR; Rotzinger DC
Phys Med; 2020 Aug; 76():28-37. PubMed ID: 32574999
[TBL] [Abstract][Full Text] [Related]
13. A qualitative and quantitative analysis of radiation dose and image quality of computed tomography images using adaptive statistical iterative reconstruction.
Hussain FA; Mail N; Shamy AM; Suliman A; Saoudi A
J Appl Clin Med Phys; 2016 May; 17(3):419-432. PubMed ID: 27167261
[TBL] [Abstract][Full Text] [Related]
14. CT Detectability of Small Low-Contrast Hypoattenuating Focal Lesions: Iterative Reconstructions versus Filtered Back Projection.
Mileto A; Zamora DA; Alessio AM; Pereira C; Liu J; Bhargava P; Carnell J; Cowan SM; Dighe MK; Gunn ML; Kim S; Kolokythas O; Lee JH; Maki JH; Moshiri M; Nasrullah A; O'Malley RB; Schmiedl UP; Soloff EV; Toia GV; Wang CL; Kanal KM
Radiology; 2018 Nov; 289(2):443-454. PubMed ID: 30015591
[TBL] [Abstract][Full Text] [Related]
15. Reducing Radiation Dose and Improving Image Quality in CT Portal Venography Using 80 kV and Adaptive Statistical Iterative Reconstruction-V in Slender Patients.
Ren Z; Zhang X; Hu Z; Li D; Liu Z; Wei D; Jia Y; Yu N; Yu Y; Lei Y; Chen X; Guo C; Ren Z; He T
Acad Radiol; 2020 Feb; 27(2):233-243. PubMed ID: 31031186
[TBL] [Abstract][Full Text] [Related]
16. The Application of a New Model-Based Iterative Reconstruction in Low-Dose Upper Abdominal CT.
Jia Y; Zhai B; He T; Yu Y; Yu N; Duan H; Yang C; Zhang X
Acad Radiol; 2019 Oct; 26(10):e275-e283. PubMed ID: 30660470
[TBL] [Abstract][Full Text] [Related]
17. Computational and human observer image quality evaluation of low dose, knowledge-based CT iterative reconstruction.
Eck BL; Fahmi R; Brown KM; Zabic S; Raihani N; Miao J; Wilson DL
Med Phys; 2015 Oct; 42(10):6098-111. PubMed ID: 26429285
[TBL] [Abstract][Full Text] [Related]
18. Computed Tomography Image Quality Evaluation of a New Iterative Reconstruction Algorithm in the Abdomen (Adaptive Statistical Iterative Reconstruction-V) a Comparison With Model-Based Iterative Reconstruction, Adaptive Statistical Iterative Reconstruction, and Filtered Back Projection Reconstructions.
Goodenberger MH; Wagner-Bartak NA; Gupta S; Liu X; Yap RQ; Sun J; Tamm EP; Jensen CT
J Comput Assist Tomogr; 2018; 42(2):184-190. PubMed ID: 28806318
[TBL] [Abstract][Full Text] [Related]
19. The adaptive statistical iterative reconstruction-V technique for radiation dose reduction in abdominal CT: comparison with the adaptive statistical iterative reconstruction technique.
Kwon H; Cho J; Oh J; Kim D; Cho J; Kim S; Lee S; Lee J
Br J Radiol; 2015 Oct; 88(1054):20150463. PubMed ID: 26234823
[TBL] [Abstract][Full Text] [Related]
20. Improving Low-contrast Detectability and Noise Texture Pattern for Computed Tomography Using Iterative Reconstruction Accelerated with Machine Learning Method: A Phantom Study.
Funama Y; Takahashi H; Goto T; Aoki Y; Yoshida R; Kumagai Y; Awai K
Acad Radiol; 2020 Jul; 27(7):929-936. PubMed ID: 31918961
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]