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

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

Research output: Contribution to journalArticlepeer-review

28 Scopus citations

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.

Original languageEnglish
Pages (from-to)6920-6937
Number of pages18
JournalPhysics in Medicine and Biology
Volume62
Issue number17
DOIs
StatePublished - Aug 7 2017
Externally publishedYes

Funding

Supported in part by Grant No. R01CA163746 and Grant No. R01CA181171 from the National Cancer Institute, National Institutes of Health and Grant No. IIR13262248 from the Susan G Komen Foundation for the Cure.

Keywords

  • breast modeling
  • breast tomosynthesis
  • compressed breast shape
  • mammography
  • structured light

Fingerprint

Dive into the research topics of 'The compressed breast during mammography and breast tomosynthesis: In vivo shape characterization and modeling'. Together they form a unique fingerprint.

Cite this