Multi-modal ultrasound imaging for breast cancer detection

Thumbnail Image
Full text at PDC
Publication Date
Medina Valdés, L.
Camacho, J.
Herraiz, J. L.
Gonzalez Salido, N.
Advisors (or tutors)
Journal Title
Journal ISSN
Volume Title
Elsevier Science BV
Google Scholar
Research Projects
Organizational Units
Journal Issue
This work describes preliminary results of a two-modality imaging system aimed at the early detection of breast cancer. The first technique is based on compounding conventional echographic images taken at regular angular intervals around the imaged breast. The other modality obtains tomographic images of propagation velocity using the same circular geometry. For this study, a low-cost prototype has been built. It is based on a pair of opposed 128-element, 3.2 MHz array transducers that are mechanically moved around tissue mimicking phantoms. Compounded images around 360 degrees provide improved resolution, clutter reduction, artifact suppression and reinforce the visualization of internal structures. However, refraction at the skin interface must be corrected for an accurate image compounding process. This is achieved by estimation of the interface geometry followed by computing the internal ray paths. On the other hand, sound velocity tomographic images from time of flight projections have been also obtained. Two reconstruction methods, Filtered Back Projection (FBP) and 2D Ordered Subset Expectation Maximization (2D OSEM), were used as a first attempt towards tomographic reconstruction. These methods yield useable images in short computational times that can be considered as initial estimates in subsequent more complex methods of ultrasound image reconstruction. These images may be effective to differentiate malignant and benign masses and are very promising for breast cancer screening. (C) 2015 The Authors. Published by Elsevier B.V.
© 2015 The Authors. Published by Elsevier B.V. Luis Medina wishes to acknowledge the Spanish Ministry of Economy and Competitiveness for the financial. support (grant BES-2011-048124). Annual Symposium of the Ultrasonic-Industry-Association (UIA Symposium)(43rd. 2014. Madrid, España)
UCM subjects
[1] H. Bartelt. Computation of local directivity, speed of sound and attenuation from ultrasonic reflection tomography data Ultrasonic Imaging, 10 (1988), pp. 110–120 [2] Breast cancer. (2014). Retrieved May 20, 2014, from [3] F. Fahei. Data Acquisition in PET Imaging. Journal Of Nuclear Medicine Technology, 30 (2) (2002), pp. 39–49 [4] G. Herman. Image reconstruction from projections: the fundamentals of computerized tomography. Academic Press (1980) [5] H. Hudson, R. Larkin. Accelerated image reconstruction using ordered subsets of projection data. Medical Imaging, IEEE Transactions on, 13 (1994), pp. 601–609 [6] A. Jemal, F. Bray, M.M. Center, J. Ferlay, E. Ward, D. Forman. Global cancer statistics.CA Cancer J Clin, 61 (2011), pp. 69–90 [7] B. Ranger, P.J. Littrup, N. Duric, P. Chandiwala-Mody, C. Li, S. Schmidt, J. Lupinacci. Breast ultrasound tomography versus magnetic resonance imaging for clinical display of anatomy and tumor rendering: Preliminary results. AJR Am J Roentgenol, 198 (1) (2012), pp. 233–239 [8] O. Roy, S. Schmidt, C. Li, V. Allada, E. West, D. Kunz, N. Duric. Breast imaging using ultrasound tomography: From clinical requirements to system design. Joint UFFC, EFTF and PFM Symposium (2013), pp. 1174–1177 [9] H. Schomberg. An improved approach to reconstructive ultrasound tomography. J. Phys. D: Appl. Phys., 11 (1978), pp. L181–L186 [10] L. Shepp, Y. Vardi. Maximum Likelihood Reconstruction for Emission Tomography. Medical Imaging IEEE Transactions on, 1 (1982), pp. 113–122 [11] G. Ursin, L. Hovanessian-Larsen, Y.R. Parisky, M.C. Pike, A.H. Wu. Greatly increased occurrence of breast cancers in areas of mammographically dense tissue. Breast Cancer Research, 7 (2005), pp. R605–R608 [12] J. Wiskin, D. Borup, S. Johnson, M. Berggren, D. Robinson, J. Smith, J. Chen, Y. Parisky, J. Klock. Inverse scattering and refraction corrected reflection for breast cancer imaging. Proc. SPIE Medical Imaging, 7629 (2010), p. 76290K