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Items: 1 to 20 of 109

1.

A diffusion-based truncated projection artifact reduction method for iterative digital breast tomosynthesis reconstruction.

Lu Y, Chan HP, Wei J, Hadjiiski LM.

Phys Med Biol. 2013 Feb 7;58(3):569-87. doi: 10.1088/0031-9155/58/3/569. Epub 2013 Jan 14.

2.

Image quality of microcalcifications in digital breast tomosynthesis: effects of projection-view distributions.

Lu Y, Chan HP, Wei J, Goodsitt M, Carson PL, Hadjiiski L, Schmitz A, Eberhard JW, Claus BE.

Med Phys. 2011 Oct;38(10):5703-12. doi: 10.1118/1.3637492.

3.

Artifact reduction methods for truncated projections in iterative breast tomosynthesis reconstruction.

Zhang Y, Chan HP, Sahiner B, Wei J, Zhou C, Hadjiiski LM.

J Comput Assist Tomogr. 2009 May-Jun;33(3):426-35. doi: 10.1097/RCT.0b013e3181838000.

4.

A comparative study of limited-angle cone-beam reconstruction methods for breast tomosynthesis.

Zhang Y, Chan HP, Sahiner B, Wei J, Goodsitt MM, Hadjiiski LM, Ge J, Zhou C.

Med Phys. 2006 Oct;33(10):3781-95.

5.
6.

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. doi: 10.1002/mp.12092.

PMID:
28058719
7.

Improving image quality for digital breast tomosynthesis: an automated detection and diffusion-based method for metal artifact reduction.

Lu Y, Chan HP, Wei J, Hadjiiski LM, Samala RK.

Phys Med Biol. 2017 Sep 15;62(19):7765-7783. doi: 10.1088/1361-6560/aa8803.

PMID:
28832336
8.

Characterization of a constrained paired-view technique in iterative reconstruction for breast tomosynthesis.

Wu G, Mainprize JG, Yaffe MJ.

Med Phys. 2013 Oct;40(10):101901. doi: 10.1118/1.4819943.

PMID:
24089903
9.

Weighted simultaneous algebraic reconstruction technique for tomosynthesis imaging of objects with high-attenuation features.

Levakhina YM, Müller J, Duschka RL, Vogt F, Barkhausen J, Buzug TM.

Med Phys. 2013 Mar;40(3):031106. doi: 10.1118/1.4789592.

PMID:
23464286
10.

Application of boundary detection information in breast tomosynthesis reconstruction.

Zhang Y, Chan HP, Sahiner B, Wu YT, Zhou C, Ge J, Wei J, Hadjiiski LM.

Med Phys. 2007 Sep;34(9):3603-13.

11.

Characterization of masses in digital breast tomosynthesis: comparison of machine learning in projection views and reconstructed slices.

Chan HP, Wu YT, Sahiner B, Wei J, Helvie MA, Zhang Y, Moore RH, Kopans DB, Hadjiiski L, Way T.

Med Phys. 2010 Jul;37(7):3576-86.

12.

A comparison of reconstruction algorithms for C-arm mammography tomosynthesis.

Rakowski JT, Dennis MJ.

Med Phys. 2006 Aug;33(8):3018-32.

PMID:
16964880
13.

Multiscale bilateral filtering for improving image quality in digital breast tomosynthesis.

Lu Y, Chan HP, Wei J, Hadjiiski LM, Samala RK.

Med Phys. 2015 Jan;42(1):182-95. doi: 10.1118/1.4903283.

14.

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. doi: 10.1016/j.media.2010.07.004. Epub 2010 Jul 27.

PMID:
20713313
15.

An object-oriented simulator for 3D digital breast tomosynthesis imaging system.

Seyyedi S, Cengiz K, Kamasak M, Yildirim I.

Comput Math Methods Med. 2013;2013:250689. doi: 10.1155/2013/250689. Epub 2013 Nov 25.

16.

Voting strategy for artifact reduction in digital breast tomosynthesis.

Wu T, Moore RH, Kopans DB.

Med Phys. 2006 Jul;33(7):2461-71.

PMID:
16898449
17.

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. doi: 10.1118/1.4764480.

18.

A novel pre-processing technique for improving image quality in digital breast tomosynthesis.

Kim H, Lee T, Hong J, Sabir S, Lee JR, Choi YW, Kim HH, Chae EY, Cho S.

Med Phys. 2017 Feb;44(2):417-425. doi: 10.1002/mp.12078. Epub 2017 Feb 2.

PMID:
28032909
19.

Improved digital breast tomosynthesis images using automated ultrasound.

Zhang X, Yuan J, Du S, Kripfgans OD, Wang X, Carson PL, Liu X.

Med Phys. 2014 Jun;41(6):061911. doi: 10.1118/1.4875980.

20.

Observation of super-resolution in digital breast tomosynthesis.

Acciavatti RJ, Maidment AD.

Med Phys. 2012 Dec;39(12):7518-39. doi: 10.1118/1.4757583.

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