147 related articles for article (PubMed ID: 23464282)
1. A low dose simulation tool for CT systems with energy integrating detectors.
Zabić S; Wang Q; Morton T; Brown KM
Med Phys; 2013 Mar; 40(3):031102. PubMed ID: 23464282
[TBL] [Abstract][Full Text] [Related]
2. Synthetic CT: simulating low dose single and dual energy protocols from a dual energy scan.
Wang AS; Pelc NJ
Med Phys; 2011 Oct; 38(10):5551-62. PubMed ID: 21992373
[TBL] [Abstract][Full Text] [Related]
3. Realistic simulation of reduced-dose CT with noise modeling and sinogram synthesis using DICOM CT images.
Won Kim C; Kim JH
Med Phys; 2014 Jan; 41(1):011901. PubMed ID: 24387509
[TBL] [Abstract][Full Text] [Related]
4. Low-dose x-ray CT simulation from an available higher-dose scan.
Elhamiasl M; Nuyts J
Phys Med Biol; 2020 Jul; 65(13):135010. PubMed ID: 32294635
[TBL] [Abstract][Full Text] [Related]
5. Denoising of polychromatic CT images based on their own noise properties.
Kim JH; Chang Y; Ra JB
Med Phys; 2016 May; 43(5):2251. PubMed ID: 27147337
[TBL] [Abstract][Full Text] [Related]
6. Efficient low-dose CT artifact mitigation using an artifact-matched prior scan.
Xu W; Mueller K
Med Phys; 2012 Aug; 39(8):4748-60. PubMed ID: 22894400
[TBL] [Abstract][Full Text] [Related]
7. Electronic noise in CT detectors: Impact on image noise and artifacts.
Duan X; Wang J; Leng S; Schmidt B; Allmendinger T; Grant K; Flohr T; McCollough CH
AJR Am J Roentgenol; 2013 Oct; 201(4):W626-32. PubMed ID: 24059402
[TBL] [Abstract][Full Text] [Related]
8. A sinogram denoising algorithm for low-dose computed tomography.
Karimi D; Deman P; Ward R; Ford N
BMC Med Imaging; 2016 Jan; 16():11. PubMed ID: 26800667
[TBL] [Abstract][Full Text] [Related]
9. CT energy weighting in the presence of scatter and limited energy resolution.
Schmidt TG
Med Phys; 2010 Mar; 37(3):1056-67. PubMed ID: 20384241
[TBL] [Abstract][Full Text] [Related]
10. Method for simulating dose reduction in digital mammography using the Anscombe transformation.
Borges LR; Oliveira HCR; Nunes PF; Bakic PR; Maidment ADA; Vieira MAC
Med Phys; 2016 Jun; 43(6):2704-2714. PubMed ID: 27277017
[TBL] [Abstract][Full Text] [Related]
11. Characterization of adaptive statistical iterative reconstruction algorithm for dose reduction in CT: A pediatric oncology perspective.
Brady SL; Yee BS; Kaufman RA
Med Phys; 2012 Sep; 39(9):5520-31. PubMed ID: 22957619
[TBL] [Abstract][Full Text] [Related]
12. Investigating the limits of PET/CT imaging at very low true count rates and high random fractions in ion-beam therapy monitoring.
Kurz C; Bauer J; Conti M; Guérin L; Eriksson L; Parodi K
Med Phys; 2015 Jul; 42(7):3979-91. PubMed ID: 26133598
[TBL] [Abstract][Full Text] [Related]
13. The importance of spectral separation: an assessment of dual-energy spectral separation for quantitative ability and dose efficiency.
Krauss B; Grant KL; Schmidt BT; Flohr TG
Invest Radiol; 2015 Feb; 50(2):114-8. PubMed ID: 25373305
[TBL] [Abstract][Full Text] [Related]
14. Alpha image reconstruction (AIR): a new iterative CT image reconstruction approach using voxel-wise alpha blending.
Hofmann C; Sawall S; Knaup M; Kachelrieß M
Med Phys; 2014 Jun; 41(6):061914. PubMed ID: 24877825
[TBL] [Abstract][Full Text] [Related]
15. Noise reduction in spectral CT: reducing dose and breaking the trade-off between image noise and energy bin selection.
Leng S; Yu L; Wang J; Fletcher JG; Mistretta CA; McCollough CH
Med Phys; 2011 Sep; 38(9):4946-57. PubMed ID: 21978039
[TBL] [Abstract][Full Text] [Related]
16. Assessment of volumetric noise and resolution performance for linear and nonlinear CT reconstruction methods.
Chen B; Christianson O; Wilson JM; Samei E
Med Phys; 2014 Jul; 41(7):071909. PubMed ID: 24989387
[TBL] [Abstract][Full Text] [Related]
17. Combined iterative reconstruction and image-domain decomposition for dual energy CT using total-variation regularization.
Dong X; Niu T; Zhu L
Med Phys; 2014 May; 41(5):051909. PubMed ID: 24784388
[TBL] [Abstract][Full Text] [Related]
18. Characteristic image quality of a third generation dual-source MDCT scanner: Noise, resolution, and detectability.
Solomon J; Wilson J; Samei E
Med Phys; 2015 Aug; 42(8):4941-53. PubMed ID: 26233220
[TBL] [Abstract][Full Text] [Related]
19. Statistical reconstruction for x-ray computed tomography using energy-integrating detectors.
Lasio GM; Whiting BR; Williamson JF
Phys Med Biol; 2007 Apr; 52(8):2247-66. PubMed ID: 17404467
[TBL] [Abstract][Full Text] [Related]
20. Computed tomography with energy-resolved detection: a feasibility study.
Shikhaliev PM
Phys Med Biol; 2008 Mar; 53(5):1475-95. PubMed ID: 18296774
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]