Literature DB >> 30524034

Monte Carlo study on optimal breast voxel resolution for dosimetry estimates in digital breast tomosynthesis.

Christian Fedon1, Carolina Rabin, Marco Caballo, Oliver Diaz, Eloy García, Alejandro Rodríguez-Ruiz, Gabriel A González-Sprinberg, Ioannis Sechopoulos.   

Abstract

Digital breast tomosynthesis (DBT) is currently used as an adjunct technique to digital mammography (DM) for breast cancer imaging. Being a quasi-3D image, DBT is capable of providing depth information on the internal breast glandular tissue distribution, which may be enough to obtain an accurate patient-specific radiation dose estimate. However, for this, information regarding the location of the glandular tissue, especially in the vertical direction (i.e. x-ray source to detector), is needed. Therefore, a dedicated reconstruction algorithm designed to localize the amount of glandular tissue, rather than for optimal diagnostic value, could be desirable. Such a reconstruction algorithm, or, alternatively, a reconstructed DBT image classification algorithm, could benefit from the use of larger voxels, rather than the small sizes typically used for the diagnostic task. In addition, the Monte Carlo (MC) based dose estimates would be accelerated by the representation of the breast tissue with fewer and larger voxels. Therefore, in this study we investigate the optimal DBT reconstructed voxel size that allows accurate dose evaluations (i.e. within 5%) using a validated Geant4-based MC code. For this, sixty patient-based breast models, previously acquired using dedicated breast computed tomography (BCT) images, were deformed to reproduce the breast during compression under a given DBT scenario. Two re-binning approaches were applied to the compressed phantoms, leading to isotropic and anisotropic voxels of different volumes. MC DBT simulations were performed reproducing the acquisition geometry of a SIEMENS Mammomat Inspiration system. Results show that isotropic cubic voxels of 2.73 mm size provide a dose estimate accurate to within 5% for 51/60 patients, while a comparable accuracy is obtained with anisotropic voxels of dimension 5.46  ×  5.46  ×  2.73 mm3. In addition, the MC simulation time is reduced by more than half in respect to the original voxel dimension of 0.273  ×  0.273  ×  0.273 mm3 when either of the proposed re-binning approaches is used. No significant differences in the effect of binning on the dose estimates are observed (Wilcoxon-Mann-Whitney test, p-value  >  0.4) between the 0° the 23° (i.e. the widest angular range) exposure.

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Year:  2018        PMID: 30524034      PMCID: PMC6467520          DOI: 10.1088/1361-6560/aaf453

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  34 in total

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3.  Assessing radiologist performance using combined digital mammography and breast tomosynthesis compared with digital mammography alone: results of a multicenter, multireader trial.

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Journal:  Radiology       Date:  2012-11-20       Impact factor: 11.105

Review 4.  A review of breast tomosynthesis. Part I. The image acquisition process.

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

5.  A comparison of the accuracy of film-screen mammography, full-field digital mammography, and digital breast tomosynthesis.

Authors:  M J Michell; A Iqbal; R K Wasan; D R Evans; C Peacock; C P Lawinski; A Douiri; R Wilson; P Whelehan
Journal:  Clin Radiol       Date:  2012-05-23       Impact factor: 2.350

6.  Skin models and their impact on mean glandular dose in mammography.

Authors:  Rodrigo Trevisan Massera; Alessandra Tomal
Journal:  Phys Med       Date:  2018-04-16       Impact factor: 2.685

7.  Absorbed radiation dose in mammography.

Authors:  G R Hammerstein; D W Miller; D R White; M E Masterson; H Q Woodard; J S Laughlin
Journal:  Radiology       Date:  1979-02       Impact factor: 11.105

8.  Integration of 3D digital mammography with tomosynthesis for population breast-cancer screening (STORM): a prospective comparison study.

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Journal:  Lancet Oncol       Date:  2013-04-25       Impact factor: 41.316

9.  Internal breast dosimetry in mammography: Monte Carlo validation in homogeneous and anthropomorphic breast phantoms with a clinical mammography system.

Authors:  Christian Fedon; Marco Caballo; Ioannis Sechopoulos
Journal:  Med Phys       Date:  2018-06-29       Impact factor: 4.071

10.  NiftySim: A GPU-based nonlinear finite element package for simulation of soft tissue biomechanics.

Authors:  Stian F Johnsen; Zeike A Taylor; Matthew J Clarkson; John Hipwell; Marc Modat; Bjoern Eiben; Lianghao Han; Yipeng Hu; Thomy Mertzanidou; David J Hawkes; Sebastien Ourselin
Journal:  Int J Comput Assist Radiol Surg       Date:  2014-09-21       Impact factor: 2.924

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  3 in total

1.  Finite element model of mechanical imaging of the breast.

Authors:  Rebecca Axelsson; Hanna Tomic; Sophia Zackrisson; Anders Tingberg; Hanna Isaksson; Predrag R Bakic; Magnus Dustler
Journal:  J Med Imaging (Bellingham)       Date:  2022-05-23

2.  Fibroglandular tissue distribution in the breast during mammography and tomosynthesis based on breast CT data: A patient-based characterization of the breast parenchyma.

Authors:  Christian Fedon; Marco Caballo; Eloy García; Oliver Diaz; John M Boone; David R Dance; Ioannis Sechopoulos
Journal:  Med Phys       Date:  2021-02-03       Impact factor: 4.506

3.  Patient-derived heterogeneous breast phantoms for advanced dosimetry in mammography and tomosynthesis.

Authors:  Marco Caballo; Carolina Rabin; Christian Fedon; Alejandro Rodríguez-Ruiz; Oliver Diaz; John M Boone; David R Dance; Ioannis Sechopoulos
Journal:  Med Phys       Date:  2022-06-08       Impact factor: 4.506

  3 in total

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