64411 20190709135624.0 doi 10.1088/1361-6560/aa8d62 sideral 103586 ART-2017-103586 eng Lapuebla-Ferri, A. Towards an in-plane methodology to track breast lesions using mammograms and patient-specific finite-element simulations 2017 Access copy available to the general public Unrestricted In breast cancer screening or diagnosis, it is usual to combine different images in order to locate a lesion as accurately as possible. These images are generated using a single or several imaging techniques. As x-ray-based mammography is widely used, a breast lesion is located in the same plane of the image (mammogram), but tracking it across mammograms corresponding to different views is a challenging task for medical physicians. Accordingly, simulation tools and methodologies that use patient-specific numerical models can facilitate the task of fusing information from different images. Additionally, these tools need to be as straightforward as possible to facilitate their translation to the clinical area. This paper presents a patient-specific, finite-element-based and semi-automated simulation methodology to track breast lesions across mammograms. A realistic three-dimensional computer model of a patient''s breast was generated from magnetic resonance imaging to simulate mammographic compressions in cranio-caudal (CC, head-to-toe) and medio-lateral oblique (MLO, shoulder-to-opposite hip) directions. For each compression being simulated, a virtual mammogram was obtained and posteriorly superimposed to the corresponding real mammogram, by sharing the nipple as a common feature. Two-dimensional rigid-body transformations were applied, and the error distance measured between the centroids of the tumors previously located on each image was 3.84 mm and 2.41 mm for CC and MLO compression, respectively. Considering that the scope of this work is to conceive a methodology translatable to clinical practice, the results indicate that it could be helpful in supporting the tracking of breast lesions. info:eu-repo/grantAgreement/ES/MINECO/DPI2016-79302-R info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 2.665 2017 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING 42 / 127 = 0.331 2017 Q2 T2 ENGINEERING, BIOMEDICAL 27 / 78 = 0.346 2017 Q2 T2 1.263 2017 Radiology, Nuclear Medicine and Imaging 2017 Q1 Radiological and Ultrasound Technology 2017 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion (orcid)0000-0002-2967-6747 Cegoñino-Banzo, J. Universidad de Zaragoza Jiménez-Mocholí, A.J. (orcid)0000-0003-0669-777X Pérez Del Palomar, A. Universidad de Zaragoza 5004 605 Universidad de Zaragoza Dpto. Ingeniería Mecánica Área Mec.Med.Cont. y Teor.Est. 62, 22 (2017), 8720-8738 Phys. med. biol. Physics in Medicine and Biology 0031-9155 1262950 http://zaguan.unizar.es/record/64411/files/texto_completo.pdf Postprint 31147 http://zaguan.unizar.es/record/64411/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:64411 articulos driver 2019-07-09-12:30:01 ARTICLE