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Feasibility of Depth Sensors to Study Breast Deformation During Mammography Procedures

  • Oliver Díaz
  • Arnau Oliver
  • Sergi Ganau
  • Eloy García
  • Joan Martí
  • Melcior Sentís
  • Robert Martí
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9699)

Abstract

Virtual clinical trials (VCT) currently represent key tools for breast imaging optimisation, especially in two-dimensional planar mammography and digital breast tomosynthesis. Voxelised breast models are a crucial part of VCT as they allow the generation of synthetic image projections of breast tissue distribution. Therefore, realistic breast models containing an accurate representation of women breasts are needed. Current voxelised breast models show, in their compressed version, a very round contour which might not be representative of the entire population. This work pretends to develop an imaging framework, based on depth cameras, to investigate breast deformation during mammographic compression. Preliminary results show the feasibility of depth sensors for such task, however post-processing steps are needed to smooth the models. The proposed framework can be used in the future to produce more accurate compressed breast models, which will eventually generate more realistic images in VCT.

Keywords

Breast imaging Breast compression Mammography DBT Microsoft Kinect Virtual clinical trials Breast phantom 

Notes

Acknowledgments

This work is part of the SCARtool project (H2020-MSCA-IF-2014, reference 657875), a research funded by the European Union within the Marie Sklodowska-Curie Innovative Training Networks. Also, some of the authors have been partially supported from the Ministry of Economy and Competitiveness of Spain, under project references TIN2012-37171-C02-01 and DPI2015-68442-R, and the FPI grant BES-2013-065314. The authors would also like to thank radiographers at UDIAT for their help during image acquisition.

References

  1. 1.
    Lång, K., Andersson, I., Rosso, A., Tinberg, A., Timberg, P., Zackrisson, S.: Performance of one-view breast tomosynthesis as a stand-alone breast cancer screening modality: results from the Malmö Breast Tomosynthesis Screening Trial, a population-based study. Eur. Radiol. 26(1), 184–190 (2015)CrossRefGoogle Scholar
  2. 2.
    Ciatto, S., Houssami, N., Bernardi, D., et al.: Integration of 3D digital mammography with tomosynthesis for population breast-cancer screening (STORM): a prospective comparison study. Lancet Oncol. 14(7), 583–589 (2013)CrossRefGoogle Scholar
  3. 3.
    Skaane, P., Bandos, A.I., Gullien, R., et al.: Comparison of digital mammography alone and digital mammography plus tomosynthesis in a population-based screening program. Radiology 267(1), 47–56 (2013)CrossRefGoogle Scholar
  4. 4.
    Tingberg, A., Fornvik, D., Mattsson, S., Svahn, T., Timberg, P., Zackrisson, S.: Breast cancer screening with tomosynthesis – initial experiences. Radiat. Prot. Dosim. 147(1–2), 180–183 (2011)CrossRefGoogle Scholar
  5. 5.
    Hsu, C.M.L., Palmeri, M.L., Segars, W.P., Veress, A.I., Dobbins, J.T.: An analysis of the mechanical parameters used for finite element compression of a high-resolution 3D breast phantom. Med. Phys. 38(10), 5756–5770 (2011)CrossRefGoogle Scholar
  6. 6.
    Bliznakova, K., Suryanarayanan, S., Karellas, A., Pallikarakis, N.: Evaluation of an improved algorithm for producing realistic 3D breast software phantoms: applications for mammography. Med. Phys. 37(11), 5604–5617 (2010)CrossRefGoogle Scholar
  7. 7.
    Bakic, P.R., Zhang, C., Maidment, A.D.A.: Development and characterization of an anthropomorphic breast software phantom based upon region-growing algorithm. Med. Phys. 38(6), 3165–3176 (2011)CrossRefGoogle Scholar
  8. 8.
    Li, C.M., Segars, W.P., Tourassi, G.D., Boone, J.M., Dobbins, J.T.: Methodology for generating a 3D computerized breast phantom from empirical data. Med. Phys. 36(7), 3122–3131 (2009)CrossRefGoogle Scholar
  9. 9.
    Agasthya, G., Sechopoulos, I.: TU-CD-207-09: analysis of the 3-D shape of patients' breast for breast imaging and surgery planning. Med. Phys. 42, 3612 (2015). http://dx.doi.org/10.1118/1.4925628
  10. 10.
    Pöhlmann, S.T., Hewes, J., Williamson, A.I., Sergeant, J.C., Hufton, A., Gandhi, A., Taylor, C.J., Astley, S.M.: Breast volume measurement using a games console input device. In: Fujita, H., Hara, T., Muramatsu, C. (eds.) IWDM 2014. LNCS, vol. 8539, pp. 666–673. Springer, Heidelberg (2014)Google Scholar
  11. 11.
    Wheat, J.S., Choppin, S., Goyal, A.: Development and assessment of a Microsoft Kinect based system for imaging the breast in three dimensions. Med. Eng. Phys. 36, 732–738 (2014)CrossRefGoogle Scholar
  12. 12.
    Henseler, H., Kuznetsova, A., Vogy, P., Rosenhahn, B.: Validation of the Kinect device as a new portable imaging system for three-dimension breast assessment. J. Plast. Reconstr. Aesthet. Surg. 67, 483–488 (2014)CrossRefGoogle Scholar
  13. 13.
    Díaz, O., Dance, D.R., Young, K.C., Elangovan, P., Bakic, P.R., Wells, K.: Estimation of scattered radiation in digital breast tomosynthesis. Phys. Med. Biol. 59(15), 4375–4390 (2014)CrossRefGoogle Scholar
  14. 14.
    Tyson, A.H., Mawdsley, G.E., Yaffe, M.J.: Measurement of compressed breast thickness by optical stereoscopic photogrammetry. Med. Phys. 36(2), 569–576 (2009)CrossRefGoogle Scholar
  15. 15.
    García, E., Oliver, A., Díez, Y., Díaz, O., Georgii, J., Martí, R., Martí, J.: Comparing regional breast density using full-field mammograms and magnetic resonance imaging: a preleminary study. In: MICCAI-BIA 2015, Proceeding of the 3rd MICCAI Workshop on Breast Image Analysis, pp. 33–40 (2015)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Oliver Díaz
    • 1
  • Arnau Oliver
    • 1
  • Sergi Ganau
    • 2
  • Eloy García
    • 1
  • Joan Martí
    • 1
  • Melcior Sentís
    • 2
  • Robert Martí
    • 1
  1. 1.ViCOROB Research InstituteUniversity of GironaGironaSpain
  2. 2.UDIAT – Centre DiagnòsticInstitute Universitari Parc Taulí - UABSabadellSpain

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