000064411 001__ 64411
000064411 005__ 20190709135624.0
000064411 0247_ $$2doi$$a10.1088/1361-6560/aa8d62
000064411 0248_ $$2sideral$$a103586
000064411 037__ $$aART-2017-103586
000064411 041__ $$aeng
000064411 100__ $$aLapuebla-Ferri, A.
000064411 245__ $$aTowards an in-plane methodology to track breast lesions using mammograms and patient-specific finite-element simulations
000064411 260__ $$c2017
000064411 5060_ $$aAccess copy available to the general public$$fUnrestricted
000064411 5203_ $$aIn 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.
000064411 536__ $$9info:eu-repo/grantAgreement/ES/MINECO/DPI2016-79302-R
000064411 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000064411 590__ $$a2.665$$b2017
000064411 591__ $$aRADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING$$b42 / 127 = 0.331$$c2017$$dQ2$$eT2
000064411 591__ $$aENGINEERING, BIOMEDICAL$$b27 / 78 = 0.346$$c2017$$dQ2$$eT2
000064411 592__ $$a1.263$$b2017
000064411 593__ $$aRadiology, Nuclear Medicine and Imaging$$c2017$$dQ1
000064411 593__ $$aRadiological and Ultrasound Technology$$c2017$$dQ1
000064411 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000064411 700__ $$0(orcid)0000-0002-2967-6747$$aCegoñino-Banzo, J.$$uUniversidad de Zaragoza
000064411 700__ $$aJiménez-Mocholí, A.J.
000064411 700__ $$0(orcid)0000-0003-0669-777X$$aPérez Del Palomar, A.$$uUniversidad de Zaragoza
000064411 7102_ $$15004$$2605$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Mec.Med.Cont. y Teor.Est.
000064411 773__ $$g62, 22 (2017), 8720-8738$$pPhys. med. biol.$$tPhysics in Medicine and Biology$$x0031-9155
000064411 8564_ $$s1262950$$uhttps://zaguan.unizar.es/record/64411/files/texto_completo.pdf$$yPostprint
000064411 8564_ $$s31147$$uhttps://zaguan.unizar.es/record/64411/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000064411 909CO $$ooai:zaguan.unizar.es:64411$$particulos$$pdriver
000064411 951__ $$a2019-07-09-12:30:01
000064411 980__ $$aARTICLE