A Novel 3D Stochastic Solid Breast Texture Model for X-Ray Breast Imaging

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• 关键词：Solid 3D breast texture model ; Stochastic geometry
• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9699
• 期：1
• 页码：660-667
• 全文大小：2,744 KB
• 参考文献：1.Hendee, W.T.: Digital phantoms for breast imaging. In: Physics of Mammographic Imaging, Series Editor. CRC Press, Boca Raton (2012)
  2.Bakic, P.R., Pokrajac, D.D., De Caro, R., Maidment, A.D.A.: Realistic simulation of breast tissue microstructure in software anthropomorphic phantoms. In: Fujita, H., Hara, T., Muramatsu, C. (eds.) IWDM 2014. LNCS, vol. 8539, pp. 348–355. Springer, Heidelberg (2014)
  3.Chen, F., Bakic, P.R., Maidment, A.D.A., Jensen, S.T., Shi, X., Pokrajac, D.D.: Description and characterization of a novel method for partial volume simulation in software breast phantoms. IEEE Trans. Med. Imaging 34(10), 2146–2161 (2015). doi:10.​1109/​TMI.​2015.​2424854 CrossRef
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  5.Carton, A.-K., Grisey, A., de Carvalho, P.M., Dromain, C., Muller, S.: A virtual human breast phantom using surface meshes and geometric internal structures. In: Fujita, H., Hara, T., Muramatsu, C. (eds.) IWDM 2014. LNCS, vol. 8539, pp. 356–363. Springer, Heidelberg (2014)
  6.Chiu, S.N., Stoyan, D., Kendall, W.S., Mecke, J.: Stochastic Geometry and Its Applications, 3rd edn. Wiley, Hoboken (2013)CrossRef MATH
  
• 作者单位：Zhijin Li (16) (17)
  Agnès Desolneux (16)
  Serge Muller (17)
  Ann-Katherine Carton (17)
  
  16. CMLA, Ecole Normale Supérieure de Cachan, Cachan, France
  17. GE Healthcare, Buc, France
  
• 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

Performance assessment of breast x-ray imaging systems through clinical imaging studies is expensive and may result in unreasonable high radiation doses to the patient. As an alternative, several research groups are investigating the potential of virtual clinical trials using realistic 3D breast texture models and simulated images from those models. This paper describes a mathematically defined solid 3D breast texture model based on the analysis of segmented clinical breast computed tomography images. The model employs stochastic geometry to mimic small and medium scale fibro-glandular and adipose tissue morphologies. Medium-scale morphology of each adipose compartment is simulated by a union of overlapping ellipsoids. The boundary of each ellipsoid consists of small Voronoi cells with average volume of 0.5 mm3, introducing a small-scale texture aspect. Model parameters were first empirically determined for almost entirely adipose breasts, scattered fibro-glandular dense breasts and heterogeneously dense breasts. Preliminary evaluation has shown that simulated mammograms and digital breast tomosynthesis images have a reasonable realistic visual appearance, depending though on simulated breast density. Statistical inference of model parameters from clinical breast computed tomography images for the variety of fibro-glandular and adipose tissue distributions observed in clinical images is ongoing.