2146 related articles for article (PubMed ID: 26520724)
21. Flat panel detector-based cone beam computed tomography with a circle-plus-two-arcs data acquisition orbit: preliminary phantom study.
Ning R; Tang X; Conover D; Yu R
Med Phys; 2003 Jul; 30(7):1694-705. PubMed ID: 12906186
[TBL] [Abstract][Full Text] [Related]
22. Effect of nonlinear three-dimensional optimized reconstruction algorithm filter on image quality and radiation dose: validation on phantoms.
Bai M; Chen J; Raupach R; Suess C; Tao Y; Peng M
Med Phys; 2009 Jan; 36(1):95-7. PubMed ID: 19235377
[TBL] [Abstract][Full Text] [Related]
23. Low-dose computed tomography via spatially adaptive Monte-Carlo reconstruction.
Lui D; Cameron A; Modhafar A; Cho DS; Wong A
Comput Med Imaging Graph; 2013; 37(7-8):438-49. PubMed ID: 23816460
[TBL] [Abstract][Full Text] [Related]
24. 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]
25. A strategy to decrease partial scan reconstruction artifacts in myocardial perfusion CT: phantom and in vivo evaluation.
Ramirez-Giraldo JC; Yu L; Kantor B; Ritman EL; McCollough CH
Med Phys; 2012 Jan; 39(1):214-23. PubMed ID: 22225290
[TBL] [Abstract][Full Text] [Related]
26. Improvements to image quality using hybrid and model-based iterative reconstructions: a phantom study.
Aurumskjöld ML; Ydström K; Tingberg A; Söderberg M
Acta Radiol; 2017 Jan; 58(1):53-61. PubMed ID: 26924832
[TBL] [Abstract][Full Text] [Related]
27. Pulmonary nodules with ground-glass opacity can be reliably measured with low-dose techniques regardless of iterative reconstruction: results of a phantom study.
Siegelman JW; Supanich MP; Gavrielides MA
AJR Am J Roentgenol; 2015 Jun; 204(6):1242-7. PubMed ID: 26001234
[TBL] [Abstract][Full Text] [Related]
28. Relationships of clinical protocols and reconstruction kernels with image quality and radiation dose in a 128-slice CT scanner: study with an anthropomorphic and water phantom.
Paul J; Krauss B; Banckwitz R; Maentele W; Bauer RW; Vogl TJ
Eur J Radiol; 2012 May; 81(5):e699-703. PubMed ID: 21316888
[TBL] [Abstract][Full Text] [Related]
29. A model based algorithm for perfusion estimation in interventional C-arm CT systems.
Wagner M; Deuerling-Zheng Y; Möhlenbruch M; Bendszus M; Boese J; Heiland S
Med Phys; 2013 Mar; 40(3):031916. PubMed ID: 23464331
[TBL] [Abstract][Full Text] [Related]
30. 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]
31. Time-delayed summation as a means of improving resolution on fast rotating computed tomography systems.
Nowak T; Hupfer M; Althoff F; Brauweiler R; Eisa F; Steiding C; Kalender WA
Med Phys; 2012 Apr; 39(4):2249-60. PubMed ID: 22482646
[TBL] [Abstract][Full Text] [Related]
32. Split-bolus spectral multidetector CT of the pancreas: assessment of radiation dose and tumor conspicuity.
Brook OR; Gourtsoyianni S; Brook A; Siewert B; Kent T; Raptopoulos V
Radiology; 2013 Oct; 269(1):139-48. PubMed ID: 23674791
[TBL] [Abstract][Full Text] [Related]
33. Implementation and evaluation of an expectation maximization reconstruction algorithm for gamma emission breast tomosynthesis.
Gong Z; Klanian K; Patel T; Sullivan O; Williams MB
Med Phys; 2012 Dec; 39(12):7580-92. PubMed ID: 23231306
[TBL] [Abstract][Full Text] [Related]
34. Efficient and robust 3D CT image reconstruction based on total generalized variation regularization using the alternating direction method.
Chen J; Wang L; Yan B; Zhang H; Cheng G
J Xray Sci Technol; 2015; 23(6):683-99. PubMed ID: 26756406
[TBL] [Abstract][Full Text] [Related]
35. Introduction of an effective method for the optimization of CT protocols using iterative reconstruction algorithms: comparison with patient data.
Kordolaimi SD; Saradeas I; Ploussi A; Pantos I; Argentos S; Efstathopoulos EP
AJR Am J Roentgenol; 2014 Oct; 203(4):W434-9. PubMed ID: 25247973
[TBL] [Abstract][Full Text] [Related]
36. 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]
37. Dose reduction for cardiac CT using a registration-based approach.
Wierzbicki M; Guiraudon GM; Jones DL; Peters T
Med Phys; 2007 Jun; 34(6):1884-95. PubMed ID: 17654889
[TBL] [Abstract][Full Text] [Related]
38. Accelerated barrier optimization compressed sensing (ABOCS) reconstruction for cone-beam CT: phantom studies.
Niu T; Zhu L
Med Phys; 2012 Jul; 39(7):4588-98. PubMed ID: 22830790
[TBL] [Abstract][Full Text] [Related]
39. Development of a chest digital tomosynthesis R/F system and implementation of low-dose GPU-accelerated compressed sensing (CS) image reconstruction.
Choi S; Lee H; Lee D; Choi S; Lee CL; Kwon W; Shin J; Seo CW; Kim HJ
Med Phys; 2018 May; 45(5):1871-1888. PubMed ID: 29500855
[TBL] [Abstract][Full Text] [Related]
40. Low-dose 4D cardiac imaging in small animals using dual source micro-CT.
Holbrook M; Clark DP; Badea CT
Phys Med Biol; 2018 Jan; 63(2):025009. PubMed ID: 29148430
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
