A finite element-based machine learning approach for modeling the mechanical behavior of the breast tissues under compression in real-time

Autor: Martínez-Martínez, F., Rupérez-Moreno, M.J., Martínez-Sober, M., Solves-Llorens, J.A., Lorente, D., Serrano-López, A.J., Martínez-Sanchis, S., Monserrat, C., Martín-Guerrero, J.D.

Publikováno v: In Computers in Biology and Medicine 1 November 2017 90:116-124

Segmentation of the Breast Skin and Its Influence in the Simulation of the Breast Compression during an X-Ray Mammography

Autor: J. A. Solves Llorens, M. J. Rupérez, C. Monserrat, E. Feliu, M. García, M. Lloret

Publikováno v: The Scientific World Journal, Vol 2012 (2012)

A novel method of skin segmentation is presented aimed to obtain as many pixels belonging to the real skin as possible. This method is validated by experts in radiology. In addition, a biomechanical model of the breast, which considers the skin segme

Externí odkaz: https://doaj.org/article/14acfc61c2844c74bb64d3b8bc274e24

A finite element-based machine learning approach for modeling the mechanical behavior of the breast tissues under compression in real-time

Autor: S. Martínez-Sanchis, Marcelino Martínez-Sober, J. A. Solves-Llorens, Antonio J. Serrano-López, José D. Martín-Guerrero, F. Martínez-Martínez, Carlos Monserrat, D. Lorente, Maria J. Ruperez-Moreno

Publikováno v: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
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[EN] This work presents a data-driven method to simulate, in real-time, the biomechanical behavior of the breast tissues in some image-guided interventions such as biopsies or radiotherapy dose delivery as well as to speed up multimodal registration

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21a2622a5395bb04cfd0bd568c4ed350
https://doi.org/10.1016/j.compbiomed.2017.09.019

A complete software application for automatic registration of x-ray mammography and magnetic resonance images

Autor: Solves Llorens, Juan Antonio, Rupérez Moreno, María José, Monserrat, C., Feliu, E, Garcia, M, Lloret, M

Publikováno v: MEDICAL PHYSICS
r-IIS La Fe. Repositorio Institucional de Producción Científica del Instituto de Investigación Sanitaria La Fe
instname
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia

Purpose: This work presents a complete and automatic software application to aid radiologists in breast cancer diagnosis. The application is a fully automated method that performs a complete registration of magnetic resonance (MR) images and x-ray (X

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a421189a407d88eb3a4be5d394c5cbf2
https://fundanet.iislafe.san.gva.es/publicaciones/ProdCientif/PublicacionFrw.aspx?id=8652

MRI skin segmentation for the virtual deformation of the breast under mammographic compression

Autor: J A, Solves Llorens, C, Monserrat, M J, Rupérez, V, Naranjo, M, Alajami, E, Feliu, M, García, M, Lloret

Publikováno v: Studies in health technology and informatics. 173

Breast Magnetic Resonance Image skin has similar intensity levels than dense tissue, and may produce segmentation errors if not managed correctly. In this work a novel skin segmentation method is presented and validated by experts, aimed to obtain as

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::01cf47f5ede1dfdefee9bad868213529
https://pubmed.ncbi.nlm.nih.gov/22357041