342 related articles for article (PubMed ID: 29254355)
21. The simulation of 3D microcalcification clusters in 2D digital mammography and breast tomosynthesis.
Shaheen E; Van Ongeval C; Zanca F; Cockmartin L; Marshall N; Jacobs J; Young KC; R Dance D; Bosmans H
Med Phys; 2011 Dec; 38(12):6659-71. PubMed ID: 22149848
[TBL] [Abstract][Full Text] [Related]
22. Detection and classification of calcifications on digital breast tomosynthesis and 2D digital mammography: a comparison.
Spangler ML; Zuley ML; Sumkin JH; Abrams G; Ganott MA; Hakim C; Perrin R; Chough DM; Shah R; Gur D
AJR Am J Roentgenol; 2011 Feb; 196(2):320-4. PubMed ID: 21257882
[TBL] [Abstract][Full Text] [Related]
23. Observation of super-resolution in digital breast tomosynthesis.
Acciavatti RJ; Maidment AD
Med Phys; 2012 Dec; 39(12):7518-39. PubMed ID: 23231301
[TBL] [Abstract][Full Text] [Related]
24. Chest CT with iterative reconstruction algorithms for airway stent evaluation in patients with malignant obstructive tracheobronchial diseases.
Li T; Zhang Y; Wang Y; Gao J; Jiang Y
Medicine (Baltimore); 2016 Sep; 95(39):e4873. PubMed ID: 27684818
[TBL] [Abstract][Full Text] [Related]
25. [Influence of Image Reconstruction Method on Image Quality in Digital Breast Tomosynthesis].
Nishikawa M; Tominaga K; Ueno T; Yasukawa S; Hiroshige K; Mouri K; Kozawa Y; Uemura T; Fujimitsu R; Yoshimitsu K
Nihon Hoshasen Gijutsu Gakkai Zasshi; 2021; 77(1):14-22. PubMed ID: 33473075
[TBL] [Abstract][Full Text] [Related]
26. Evaluation of digital breast tomosynthesis reconstruction algorithms using synchrotron radiation in standard geometry.
Bliznakova K; Kolitsi Z; Speller RD; Horrocks JA; Tromba G; Pallikarakis N
Med Phys; 2010 Apr; 37(4):1893-903. PubMed ID: 20443511
[TBL] [Abstract][Full Text] [Related]
27. Image artifacts in digital breast tomosynthesis: investigation of the effects of system geometry and reconstruction parameters using a linear system approach.
Hu YH; Zhao B; Zhao W
Med Phys; 2008 Dec; 35(12):5242-52. PubMed ID: 19175083
[TBL] [Abstract][Full Text] [Related]
28. A computer simulation study comparing lesion detection accuracy with digital mammography, breast tomosynthesis, and cone-beam CT breast imaging.
Gong X; Glick SJ; Liu B; Vedula AA; Thacker S
Med Phys; 2006 Apr; 33(4):1041-52. PubMed ID: 16696481
[TBL] [Abstract][Full Text] [Related]
29. 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]
30. Impact of prior mammograms on combined reading of digital mammography and digital breast tomosynthesis.
Kim WH; Chang JM; Koo HR; Seo M; Bae MS; Lee J; Moon WK
Acta Radiol; 2017 Feb; 58(2):148-155. PubMed ID: 27178032
[TBL] [Abstract][Full Text] [Related]
31. Segmented separable footprint projector for digital breast tomosynthesis and its application for subpixel reconstruction.
Zheng J; Fessler JA; Chan HP
Med Phys; 2017 Mar; 44(3):986-1001. PubMed ID: 28058719
[TBL] [Abstract][Full Text] [Related]
32. DIR-DBTnet: Deep iterative reconstruction network for three-dimensional digital breast tomosynthesis imaging.
Su T; Deng X; Yang J; Wang Z; Fang S; Zheng H; Liang D; Ge Y
Med Phys; 2021 May; 48(5):2289-2300. PubMed ID: 33594671
[TBL] [Abstract][Full Text] [Related]
33. Comparison of a stationary digital breast tomosynthesis system to magnified 2D mammography using breast tissue specimens.
Tucker AW; Calliste J; Gidcumb EM; Wu J; Kuzmiak CM; Hyun N; Zeng D; Lu J; Zhou O; Lee YZ
Acad Radiol; 2014 Dec; 21(12):1547-52. PubMed ID: 25172412
[TBL] [Abstract][Full Text] [Related]
34. Optimization of digital breast tomosynthesis (DBT) acquisition parameters for human observers: effect of reconstruction algorithms.
Zeng R; Badano A; Myers KJ
Phys Med Biol; 2017 Apr; 62(7):2598-2611. PubMed ID: 28151728
[TBL] [Abstract][Full Text] [Related]
35. Model-based deep CNN-regularized reconstruction for digital breast tomosynthesis with a task-based CNN image assessment approach.
Gao M; Fessler JA; Chan HP
Phys Med Biol; 2023 Dec; 68(24):. PubMed ID: 37988758
[No Abstract] [Full Text] [Related]
36. Digital tomosynthesis: technique.
Yaffe MJ; Mainprize JG
Radiol Clin North Am; 2014 May; 52(3):489-97. PubMed ID: 24792651
[TBL] [Abstract][Full Text] [Related]
37. Visual-search observers for assessing tomographic x-ray image quality.
Gifford HC; Liang Z; Das M
Med Phys; 2016 Mar; 43(3):1563-75. PubMed ID: 26936739
[TBL] [Abstract][Full Text] [Related]
38. A comparison of reconstruction algorithms for C-arm mammography tomosynthesis.
Rakowski JT; Dennis MJ
Med Phys; 2006 Aug; 33(8):3018-32. PubMed ID: 16964880
[TBL] [Abstract][Full Text] [Related]
39. Synthesized Digital Mammography Imaging.
Freer PE; Winkler N
Radiol Clin North Am; 2017 May; 55(3):503-512. PubMed ID: 28411676
[TBL] [Abstract][Full Text] [Related]
40. Mass detection in digital breast tomosynthesis data using convolutional neural networks and multiple instance learning.
Yousefi M; Krzyżak A; Suen CY
Comput Biol Med; 2018 May; 96():283-293. PubMed ID: 29665537
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
