170 related articles for article (PubMed ID: 21041158)
1. Penalized maximum likelihood reconstruction for improved microcalcification detection in breast tomosynthesis.
Das M; Gifford HC; O'Connor JM; Glick SJ
IEEE Trans Med Imaging; 2011 Apr; 30(4):904-14. PubMed ID: 21041158
[TBL] [Abstract][Full Text] [Related]
2. Investigation of statistical iterative reconstruction for dedicated breast CT.
Makeev A; Glick SJ
Med Phys; 2013 Aug; 40(8):081904. PubMed ID: 23927318
[TBL] [Abstract][Full Text] [Related]
3. Deep learning denoising of digital breast tomosynthesis: Observer performance study of the effect on detection of microcalcifications in breast phantom images.
Chan HP; Helvie MA; Gao M; Hadjiiski L; Zhou C; Garver K; Klein KA; McLaughlin C; Oudsema R; Rahman WT; Roubidoux MA
Med Phys; 2023 Oct; 50(10):6177-6189. PubMed ID: 37145996
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Evaluation of a variable dose acquisition technique for microcalcification and mass detection in digital breast tomosynthesis.
Das M; Gifford HC; O'Connor JM; Glick SJ
Med Phys; 2009 Jun; 36(6):1976-84. PubMed ID: 19610286
[TBL] [Abstract][Full Text] [Related]
6. Task-based performance analysis of FBP, SART and ML for digital breast tomosynthesis using signal CNR and Channelised Hotelling Observers.
Van de Sompel D; Brady SM; Boone J
Med Image Anal; 2011 Feb; 15(1):53-70. PubMed ID: 20713313
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. Microcalcification detectability in breast CT images using CNN observers.
Lyu SH; Abbey CK; Hernandez AM; Boone JM
Med Phys; 2024 Feb; 51(2):933-945. PubMed ID: 38154070
[TBL] [Abstract][Full Text] [Related]
10. The effect of system geometry and dose on the threshold detectable calcification diameter in 2D-mammography and digital breast tomosynthesis.
Hadjipanteli A; Elangovan P; Mackenzie A; Looney PT; Wells K; Dance DR; Young KC
Phys Med Biol; 2017 Feb; 62(3):858-877. PubMed ID: 28072582
[TBL] [Abstract][Full Text] [Related]
11. The effect of angular dose distribution on the detection of microcalcifications in digital breast tomosynthesis.
Hu YH; Zhao W
Med Phys; 2011 May; 38(5):2455-66. PubMed ID: 21776781
[TBL] [Abstract][Full Text] [Related]
12. Microcalcification detectability using a bench-top prototype photon-counting breast CT based on a Si strip detector.
Cho HM; Ding H; Barber WC; Iwanczyk JS; Molloi S
Med Phys; 2015 Jul; 42(7):4401-10. PubMed ID: 26133636
[TBL] [Abstract][Full Text] [Related]
13. Comparison of digital breast tomosynthesis and 2D digital mammography using a hybrid performance test.
Cockmartin L; Marshall NW; Van Ongeval C; Aerts G; Stalmans D; Zanca F; Shaheen E; De Keyzer F; Dance DR; Young KC; Bosmans H
Phys Med Biol; 2015 May; 60(10):3939-58. PubMed ID: 25909596
[TBL] [Abstract][Full Text] [Related]
14. Comparison study of reconstruction algorithms for prototype digital breast tomosynthesis using various breast phantoms.
Kim YS; Park HS; Lee HH; Choi YW; Choi JG; Kim HH; Kim HJ
Radiol Med; 2016 Feb; 121(2):81-92. PubMed ID: 26383027
[TBL] [Abstract][Full Text] [Related]
15. Comparison of the Detection Rate of Simulated Microcalcifications in Full-Field Digital Mammography, Digital Breast Tomosynthesis, and Synthetically Reconstructed 2-Dimensional Images Performed With 2 Different Digital X-ray Mammography Systems.
Peters S; Hellmich M; Stork A; Kemper J; Grinstein O; Püsken M; Stahlhut L; Kinner S; Maintz D; Krug KB
Invest Radiol; 2017 Apr; 52(4):206-215. PubMed ID: 27861206
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Computer-aided detection of clustered microcalcifications in multiscale bilateral filtering regularized reconstructed digital breast tomosynthesis volume.
Samala RK; Chan HP; Lu Y; Hadjiiski L; Wei J; Sahiner B; Helvie MA
Med Phys; 2014 Feb; 41(2):021901. PubMed ID: 24506622
[TBL] [Abstract][Full Text] [Related]
18. Multichannel response analysis on 2D projection views for detection of clustered microcalcifications in digital breast tomosynthesis.
Wei J; Chan HP; Hadjiiski LM; Helvie MA; Lu Y; Zhou C; Samala R
Med Phys; 2014 Apr; 41(4):041913. PubMed ID: 24694144
[TBL] [Abstract][Full Text] [Related]
19. An iterative reconstruction algorithm for digital breast tomosynthesis imaging using real data at three radiation doses.
Polat A; Yildirim I
J Xray Sci Technol; 2018; 26(3):347-360. PubMed ID: 29504549
[TBL] [Abstract][Full Text] [Related]
20. Selective-diffusion regularization for enhancement of microcalcifications in digital breast tomosynthesis reconstruction.
Lu Y; Chan HP; Wei J; Hadjiiski LM
Med Phys; 2010 Nov; 37(11):6003-14. PubMed ID: 21158312
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
