Literature DB >> 28665291

The compressed breast during mammography and breast tomosynthesis: in vivo shape characterization and modeling.

Alejandro Rodríguez-Ruiz1, Greeshma A Agasthya, Ioannis Sechopoulos.   

Abstract

To characterize and develop a patient-based 3D model of the compressed breast undergoing mammography and breast tomosynthesis. During this IRB-approved, HIPAA-compliant study, 50 women were recruited to undergo 3D breast surface imaging with structured light (SL) during breast compression, along with simultaneous acquisition of a tomosynthesis image. A pair of SL systems were used to acquire 3D surface images by projecting 24 different patterns onto the compressed breast and capturing their reflection off the breast surface in approximately 12-16 s. The 3D surface was characterized and modeled via principal component analysis. The resulting surface model was combined with a previously developed 2D model of projected compressed breast shapes to generate a full 3D model. Data from ten patients were discarded due to technical problems during image acquisition. The maximum breast thickness (found at the chest-wall) had an average value of 56 mm, and decreased 13% towards the nipple (breast tilt angle of 5.2°). The portion of the breast not in contact with the compression paddle or the support table extended on average 17 mm, 18% of the chest-wall to nipple distance. The outermost point along the breast surface lies below the midline of the total thickness. A complete 3D model of compressed breast shapes was created and implemented as a software application available for download, capable of generating new random realistic 3D shapes of breasts undergoing compression. Accurate characterization and modeling of the breast curvature and shape was achieved and will be used for various image processing and clinical tasks.

Entities:  

Mesh:

Year:  2017        PMID: 28665291      PMCID: PMC5727349          DOI: 10.1088/1361-6560/aa7cd0

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


  32 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.  Additional factors for the estimation of mean glandular breast dose using the UK mammography dosimetry protocol.

Authors:  D R Dance; C L Skinner; K C Young; J R Beckett; C J Kotre
Journal:  Phys Med Biol       Date:  2000-11       Impact factor: 3.609

3.  Compression paddle tilt correction in full-field digital mammograms.

Authors:  Michiel G J Kallenberg; Nico Karssemeijer
Journal:  Phys Med Biol       Date:  2012-01-13       Impact factor: 3.609

4.  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

5.  Objective models of compressed breast shapes undergoing mammography.

Authors:  Steve Si Jia Feng; Bhavika Patel; Ioannis Sechopoulos
Journal:  Med Phys       Date:  2013-03       Impact factor: 4.071

6.  Estimation of scattered radiation in digital breast tomosynthesis.

Authors:  O Diaz; D R Dance; K C Young; P Elangovan; P R Bakic; K Wells
Journal:  Phys Med Biol       Date:  2014-07-22       Impact factor: 3.609

7.  Development of realistic physical breast phantoms matched to virtual breast phantoms based on human subject data.

Authors:  Nooshin Kiarashi; Adam C Nolte; Gregory M Sturgeon; William P Segars; Sujata V Ghate; Loren W Nolte; Ehsan Samei; Joseph Y Lo
Journal:  Med Phys       Date:  2015-07       Impact factor: 4.071

Review 8.  A review of biomechanically informed breast image registration.

Authors:  John H Hipwell; Vasileios Vavourakis; Lianghao Han; Thomy Mertzanidou; Björn Eiben; David J Hawkes
Journal:  Phys Med Biol       Date:  2016-01-06       Impact factor: 3.609

9.  Evaluation of the technical performance of three different commercial digital breast tomosynthesis systems in the clinical environment.

Authors:  A Rodríguez-Ruiz; M Castillo; J Garayoa; M Chevalier
Journal:  Phys Med       Date:  2016-05-11       Impact factor: 2.685

10.  Volumetric breast density estimation from full-field digital mammograms: a validation study.

Authors:  Albert Gubern-Mérida; Michiel Kallenberg; Bram Platel; Ritse M Mann; Robert Martí; Nico Karssemeijer
Journal:  PLoS One       Date:  2014-01-21       Impact factor: 3.240

View more
  2 in total

1.  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

2.  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

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.