Literature DB >> 21893296

Breast tomosynthesis: state-of-the-art and review of the literature.

Jay A Baker1, Joseph Y Lo.   

Abstract

Mesh：

Year:  2011        PMID： 21893296     DOI： 10.1016/j.acra.2011.06.011

Source DB:  PubMed          Journal:  Acad Radiol        ISSN： 1076-6332            Impact factor:   3.173


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  34 in total

1.  Population of 224 realistic human subject-based computational breast phantoms.

Authors:  David W Erickson; Jered R Wells; Gregory M Sturgeon; Ehsan Samei; James T Dobbins; W Paul Segars; Joseph Y Lo
Journal:  Med Phys       Date:  2016-01       Impact factor: 4.071

2.  Digital Breast Tomosynthesis: State of the Art.

Authors:  Srinivasan Vedantham; Andrew Karellas; Gopal R Vijayaraghavan; Daniel B Kopans
Journal:  Radiology       Date:  2015-12       Impact factor: 11.105

3.  Breast density quantification using magnetic resonance imaging (MRI) with bias field correction: a postmortem study.

Authors:  Huanjun Ding; Travis Johnson; Muqing Lin; Huy Q Le; Justin L Ducote; Min-Ying Su; Sabee Molloi
Journal:  Med Phys       Date:  2013-12       Impact factor: 4.071

4.  Optimization of digital breast tomosynthesis (DBT) acquisition parameters for human observers: effect of reconstruction algorithms.

Authors:  Rongping Zeng; Aldo Badano; Kyle J Myers
Journal:  Phys Med Biol       Date:  2017-02-02       Impact factor: 3.609

5.  [Digital breast tomosynthesis].

Authors:  H Preibsch; K C Siegmann-Luz
Journal:  Radiologe       Date:  2015-01       Impact factor: 0.635

Review 6.  A review of breast tomosynthesis. Part I. The image acquisition process.

Authors:  Ioannis Sechopoulos
Journal:  Med Phys       Date:  2013-01       Impact factor: 4.071

7.  A digital x-ray tomosynthesis coupled near infrared spectral tomography system for dual-modality breast imaging.

Authors:  Venkataramanan Krishnaswamy; Kelly E Michaelsen; Brian W Pogue; Steven P Poplack; Ian Shaw; Ken Defrietas; Ken Brooks; Keith D Paulsen
Journal:  Opt Express       Date:  2012-08-13       Impact factor: 3.894

8.  A virtual trial framework for quantifying the detectability of masses in breast tomosynthesis projection data.

Authors:  Stefano Young; Predrag R Bakic; Kyle J Myers; Robert J Jennings; Subok Park
Journal:  Med Phys       Date:  2013-05       Impact factor: 4.071

9.  The role of extra-foveal processing in 3D imaging.

Authors:  Miguel P Eckstein; Miguel A Lago; Craig K Abbey
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2017-03-10

10.  Transfer Learning From Convolutional Neural Networks for Computer-Aided Diagnosis: A Comparison of Digital Breast Tomosynthesis and Full-Field Digital Mammography.

Authors:  Kayla Mendel; Hui Li; Deepa Sheth; Maryellen Giger
Journal:  Acad Radiol       Date:  2018-08-01       Impact factor: 3.173
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