Literature DB >> 17278508

Computation of the glandular radiation dose in digital tomosynthesis of the breast.

Ioannis Sechopoulos1, Sankararaman Suryanarayanan, Srinivasan Vedantham, Carl D'Orsi, Andrew Karellas.   

Abstract

Tomosynthesis of the breast is currently a topic of intense interest as a logical next step in the evolution of digital mammography. This study reports on the computation of glandular radiation dose in digital tomosynthesis of the breast. Previously, glandular dose estimations in tomosynthesis have been performed using data from studies of radiation dose in conventional planar mammography. This study evaluates, using Monte Carlo methods, the normalized glandular dose (DgN) to the breast during a tomosynthesis study, and characterizes its dependence on breast size, tissue composition, and x-ray spectrum. The conditions during digital tomosynthesis imaging of the breast were simulated using a computer program based on the Geant4 toolkit. With the use of simulated breasts of varying size, thickness and tissue composition, the DgN to the breast tissue was computed for varying x-ray spectra and tomosynthesis projection angle. Tomosynthesis projections centered about both the cranio-caudal (CC) and medio-lateral oblique (MLO) views were simulated. For each projection angle, the ratio of the glandular dose for that projection to the glandular dose for the zero degree projection was computed. This ratio was denoted the relative glandular dose (RGD) coefficient, and its variation under different imaging parameters was analyzed. Within mammographic energies, the RGD was found to have a weak dependence on glandular fraction and x-ray spectrum for both views. A substantial dependence on breast size and thickness was found for the MLO view, and to a lesser extent for the CC view. Although RGD values deviate substantially from unity as a function of projection angle, the RGD averaged over all projections in a complete tomosynthesis study varies from 0.91 to 1.01. The RGD results were fit to mathematical functions and the resulting equations are provided.

Mesh:

Year:  2007        PMID: 17278508      PMCID: PMC4280100          DOI: 10.1118/1.2400836

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


  24 in total

1.  Comparison of tomosynthesis methods used with digital mammography.

Authors:  S Suryanarayanan; A Karellas; S Vedantham; S J Glick; C J D'Orsi; S P Baker; R L Webber
Journal:  Acad Radiol       Date:  2000-12       Impact factor: 3.173

2.  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

3.  Normalized glandular dose (DgN) coefficients for arbitrary X-ray spectra in mammography: computer-fit values of Monte Carlo derived data.

Authors:  John M Boone
Journal:  Med Phys       Date:  2002-05       Impact factor: 4.071

Review 4.  Digital x-ray tomosynthesis: current state of the art and clinical potential.

Authors:  James T Dobbins; Devon J Godfrey
Journal:  Phys Med Biol       Date:  2003-10-07       Impact factor: 3.609

5.  Spectral dependence of glandular tissue dose in screen-film mammography.

Authors:  X Wu; G T Barnes; D M Tucker
Journal:  Radiology       Date:  1991-04       Impact factor: 11.105

6.  A comparison of reconstruction algorithms for breast tomosynthesis.

Authors:  Tao Wu; Richard H Moore; Elizabeth A Rafferty; Daniel B Kopans
Journal:  Med Phys       Date:  2004-09       Impact factor: 4.071

7.  Digital tomosynthesis in breast imaging.

Authors:  L T Niklason; B T Christian; L E Niklason; D B Kopans; D E Castleberry; B H Opsahl-Ong; C E Landberg; P J Slanetz; A A Giardino; R Moore; D Albagli; M C DeJule; P F Fitzgerald; D F Fobare; B W Giambattista; R F Kwasnick; J Liu; S J Lubowski; G E Possin; J F Richotte; C Y Wei; R F Wirth
Journal:  Radiology       Date:  1997-11       Impact factor: 11.105

8.  A study of mean glandular dose during diagnostic mammography in Malaysia and some of the factors affecting it.

Authors:  N Jamal; K-H Ng; D McLean
Journal:  Br J Radiol       Date:  2003-04       Impact factor: 3.039

9.  The New Mexico Mammography Project. Screening mammography performance in Albuquerque, New Mexico, 1991 to 1993.

Authors:  R D Rosenberg; J F Lando; W C Hunt; R R Darling; M R Williamson; M N Linver; F D Gilliland; C R Key
Journal:  Cancer       Date:  1996-10-15       Impact factor: 6.860

10.  Efficacy of breast cancer screening by age. New results from the Swedish Two-County Trial.

Authors:  L Tabar; G Fagerberg; H H Chen; S W Duffy; C R Smart; A Gad; R A Smith
Journal:  Cancer       Date:  1995-05-15       Impact factor: 6.860

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  44 in total

1.  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

2.  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

3.  Evaluation of an improved algorithm for producing realistic 3D breast software phantoms: application for mammography.

Authors:  K Bliznakova; S Suryanarayanan; A Karellas; N Pallikarakis
Journal:  Med Phys       Date:  2010-11       Impact factor: 4.071

4.  Dosimetric characterization of a dedicated breast computed tomography clinical prototype.

Authors:  Ioannis Sechopoulos; Steve Si Jia Feng; Carl J D'Orsi
Journal:  Med Phys       Date:  2010-08       Impact factor: 4.071

5.  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

6.  Emerging Breast Imaging Technologies on the Horizon.

Authors:  Srinivasan Vedantham; Andrew Karellas
Journal:  Semin Ultrasound CT MR       Date:  2017-09-13       Impact factor: 1.875

7.  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

8.  Radiation dose to organs and tissues from mammography: Monte Carlo and phantom study.

Authors:  Ioannis Sechopoulos; Sankararaman Suryanarayanan; Srinivasan Vedantham; Carl J D'Orsi; Andrew Karellas
Journal:  Radiology       Date:  2007-12-04       Impact factor: 11.105

9.  Monte Carlo and phantom study of the radiation dose to the body from dedicated CT of the breast.

Authors:  Ioannis Sechopoulos; Srinivasan Vedantham; Sankararaman Suryanarayanan; Carl J D'Orsi; Andrew Karellas
Journal:  Radiology       Date:  2008-02-21       Impact factor: 11.105

Review 10.  Breast cancer imaging: a perspective for the next decade.

Authors:  Andrew Karellas; Srinivasan Vedantham
Journal:  Med Phys       Date:  2008-11       Impact factor: 4.071

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