Artifact reduction in breast tomosynthesis by including prior knowledge of the compressed breast shape

Koen Michielsen, Alejandro Rodriguez-Ruiz, Greeshma Agasthya, Ioannis Sechopoulos


Published in:Fully3D 2017 Proceedings


Due to the limited angle acquisition in breast tomosynthesis, it is susceptible to artifacts. One of these artifacts is caused by incomplete knowledge of the exact compressed breast shape and results in underestimation of attenuation values near the skin. To avoid this artifact, compressed breast shapes were measured using structured light scanning and this information was included in the reconstruction algorithm. Care was taken to accurately position the measured shape in the reconstruction geometry in order to avoid introducing different artifacts. Evaluation in phantom and patient reconstructions found that adding the exact breast shape greatly reduced the underestimation of attenuation values near the skin.
Koen Michielsen
Radboud University Medical Center, Netherlands
Alejandro Rodriguez-Ruiz
Radboud University Medical Center, Netherlands
Greeshma Agasthya
Emory University, USA
Ioannis Sechopoulos
Radboud University Medical Center, Netherlands
  1. N. Houssami and P. Skaane, “Overview of the evidence on digital breast tomosynthesis in breast cancer detection,” Breast, vol. 22, no. 2, pp. 101– 108, Feb. 2013.
  2. J. Lei, P. Yang, L. Zhang, Y. Wang, and K. Yang, “Diagnostic accuracy of digital breast tomosynthesis versus digital mammography for benign and malignant lesions in breasts: a meta-analysis,” Eur. Radiol., vol. 24, no. 3, pp. 595–602, Mar. 2014.
  3. I. Sechopoulos, “A review of breast tomosynthesis. part II. Image reconstruction, processing and analysis, and advanced applications,” Med. Phys., vol. 40, no. 1, p. 014302, Jan. 2013.
  4. Y. Zhang, H.-P. Chan, B. Sahiner, Y.-T. Wu, C. Zhou, J. Ge, J. Wei, and L. M. Hadjiiski, “Application of boundary detection information in breast tomosynthesis reconstruction,” Med. Phys., vol. 34, no. 9, pp. 3603–3613, Sep. 2007.
  5. G. Agasthya and I. Sechopoulos, “TU-CD-207-09: Analysis of the 3-D Shape of Patients’ Breast for Breast Imaging and Surgery Planning,” Med. Phys., vol. 42, no. 6, pp. 3612, Jun. 2015.
  6. A. Rodriguez-Ruiz, G.A. Agasthya, and I. Sechopoulos, “The compressed breast during mammography and breast tomosynthesis: in vivo shape characterization and modeling,” Phys. Med. Biol., under review.
  7. J. Nuyts, B. De Man, P. Dupont, M. Defrise, P. Suetens, and L. Mortelmans, “Iterative reconstruction for helical CT: a simulation study,” Phys. Med. Biol., vol. 43, no. 4, pp. 729–737, Apr. 1998.
  8. A. Rodr´ıguez-Ruiz, S.S.J. Feng, J. van Zelst, S. Vreemann, J. Rice Mann, C.J. D’Orsi, and I. Sechopoulos, “Improvements of an objective model of compressed breasts undergoing mammography: Generation and characterization of breast shapes,” Med. Phys., (online preprint) Feb. 2017.
  9. I. Sechopoulos, “A review of breast tomosynthesis. part I. The image acquisition process,” Med. Phys., vol. 40, no. 1, p. 014301, Jan. 2013.