Feasibility of Depth Sensors to Study Breast Deformation During Mammography Procedures

详细信息    查看全文

• 关键词：Breast imaging ; Breast compression ; Mammography ; DBT ; Microsoft Kinect ; Virtual clinical trials ; Breast phantom
• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9699
• 期：1
• 页码：446-453
• 全文大小：1,242 KB
• 参考文献：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)CrossRef
  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)CrossRef
  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)CrossRef
  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)CrossRef
  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)CrossRef
  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)CrossRef
  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)CrossRef
  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)CrossRef
  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.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)
  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)CrossRef
  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)CrossRef
  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)CrossRef
  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)CrossRef
  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)
  
• 作者单位：Oliver Díaz (16)
  Arnau Oliver (16)
  Sergi Ganau (17)
  Eloy García (16)
  Joan Martí (16)
  Melcior Sentís (17)
  Robert Martí (16)
  
  16. ViCOROB Research Institute, University of Girona, Girona, Spain
  17. UDIAT – Centre Diagnòstic, Institute Universitari Parc Taulí - UAB, Sabadell, Spain
  
• 丛书名：Breast Imaging
• ISBN：978-3-319-41546-8
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349
• 卷排序：9699

文摘

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.