2026-07-31T10:11:44Zhttps://docta.ucm.es/rest/oai/request

oai:docta.ucm.es:20.500.14352/352452023-08-27T23:00:20Zcom_20.500.14352_14col_20.500.14352_15

00925njm 22002777a 4500 dc Medina Valdés, L. author Pérez Liva, Mailyn author Camacho, J. author Udías Moinelo, José Manuel author Herraiz, J. L. author Gonzalez Salido, N. author 2015 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. 1875-3892 10.1016/j.phpro.2015.03.022 https://hdl.handle.net/20.500.14352/35245 http://dx.doi.org/10.1016/j.phpro.2015.03.022 http://www.sciencedirect.com/ Multi-modal ultrasound imaging for breast cancer detection