Literature DB >> 23298126

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

Ioannis Sechopoulos1.   

Abstract

Mammography is a very well-established imaging modality for the early detection and diagnosis of breast cancer. However, since the introduction of digital imaging to the realm of radiology, more advanced, and especially tomographic imaging methods have been made possible. One of these methods, breast tomosynthesis, has finally been introduced to the clinic for routine everyday use, with potential to in the future replace mammography for screening for breast cancer. In this two part paper, the extensive research performed during the development of breast tomosynthesis is reviewed, with a focus on the research addressing the medical physics aspects of this imaging modality. This first paper will review the research performed on the issues relevant to the image acquisition process, including system design, optimization of geometry and technique, x-ray scatter, and radiation dose. The companion to this paper will review all other aspects of breast tomosynthesis imaging, including the reconstruction process.

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Year:  2013        PMID: 23298126      PMCID: PMC3548887          DOI: 10.1118/1.4770279

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  64 in total

1.  Glandular breast dose for monoenergetic and high-energy X-ray beams: Monte Carlo assessment.

Authors:  J M Boone
Journal:  Radiology       Date:  1999-10       Impact factor: 11.105

2.  A software-based x-ray scatter correction method for breast tomosynthesis.

Authors:  Steve Si Jia Feng; Ioannis Sechopoulos
Journal:  Med Phys       Date:  2011-12       Impact factor: 4.071

3.  Accelerated simulation of cone beam X-ray scatter projections.

Authors:  A P Colijn; F J Beekman
Journal:  IEEE Trans Med Imaging       Date:  2004-05       Impact factor: 10.048

4.  A fast, angle-dependent, analytical model of CsI detector response for optimization of 3D x-ray breast imaging systems.

Authors:  Melanie Freed; Subok Park; Aldo Badano
Journal:  Med Phys       Date:  2010-06       Impact factor: 4.071

5.  Task-based assessment of breast tomosynthesis: effect of acquisition parameters and quantum noise.

Authors:  I Reiser; R M Nishikawa
Journal:  Med Phys       Date:  2010-04       Impact factor: 4.071

6.  Scatter radiation in digital tomosynthesis of the breast.

Authors:  Ioannis Sechopoulos; Sankararaman Suryanarayanan; Srinivasan Vedantham; Carl J D'Orsi; Andrew Karellas
Journal:  Med Phys       Date:  2007-02       Impact factor: 4.071

7.  Mammography grid performance.

Authors:  P S Rezentes; A de Almeida; G T Barnes
Journal:  Radiology       Date:  1999-01       Impact factor: 11.105

Review 8.  Breast tomosynthesis: state-of-the-art and review of the literature.

Authors:  Jay A Baker; Joseph Y Lo
Journal:  Acad Radiol       Date:  2011-10       Impact factor: 3.173

9.  Stationary digital breast tomosynthesis with distributed field emission X-ray tube.

Authors:  F Sprenger; X Calderon; E Gidcumb; J Lu; X Qian; D Spronk; A Tucker; G Yang; O Zhou
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2011-03-03

10.  Development of low-dose photon-counting contrast-enhanced tomosynthesis with spectral imaging.

Authors:  Florian F Schmitzberger; Eva Maria Fallenberg; Rüdiger Lawaczeck; Magnus Hemmendorff; Elin Moa; Mats Danielsson; Ulrich Bick; Susanne Diekmann; Alexander Pöllinger; Florian J Engelken; Felix Diekmann
Journal:  Radiology       Date:  2011-02-17       Impact factor: 11.105

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  77 in total

1.  Use of the Hotelling observer to optimize image reconstruction in digital breast tomosynthesis.

Authors:  Adrian A Sánchez; Emil Y Sidky; Xiaochuan Pan
Journal:  J Med Imaging (Bellingham)       Date:  2015-12-22

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.  Impact of lesion segmentation metrics on computer-aided diagnosis/detection in breast computed tomography.

Authors:  Hsien-Chi Kuo; Maryellen L Giger; Ingrid Reiser; Karen Drukker; John M Boone; Karen K Lindfors; Kai Yang; Alexandra Edwards
Journal:  J Med Imaging (Bellingham)       Date:  2014-12-24

4.  Grating-based phase contrast tomosynthesis imaging: proof-of-concept experimental studies.

Authors:  Ke Li; Yongshuai Ge; John Garrett; Nicholas Bevins; Joseph Zambelli; Guang-Hong Chen
Journal:  Med Phys       Date:  2014-01       Impact factor: 4.071

5.  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

6.  Synthesizing mammogram from digital breast tomosynthesis.

Authors:  Jun Wei; Heang-Ping Chan; Mark A Helvie; Marilyn A Roubidoux; Colleen H Neal; Yao Lu; Lubomir M Hadjiiski; Chuan Zhou
Journal:  Phys Med Biol       Date:  2019-02-11       Impact factor: 3.609

7.  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

8.  On image quality metrics and the usefulness of grids in digital mammography.

Authors:  Han Chen; Mats Danielsson; Cheng Xu; Björn Cederström
Journal:  J Med Imaging (Bellingham)       Date:  2015-02-17

9.  Comparison study of reconstruction algorithms for prototype digital breast tomosynthesis using various breast phantoms.

Authors:  Ye-seul Kim; Hye-suk Park; Haeng-Hwa Lee; Young-Wook Choi; Jae-Gu Choi; Hak Hee Kim; Hee-Joung Kim
Journal:  Radiol Med       Date:  2015-09-18       Impact factor: 3.469

Review 10.  Artificial Intelligence for Mammography and Digital Breast Tomosynthesis: Current Concepts and Future Perspectives.

Authors:  Krzysztof J Geras; Ritse M Mann; Linda Moy
Journal:  Radiology       Date:  2019-09-24       Impact factor: 11.105

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