- -

Segmentation of the breast skin and its influence in the simulation of the breast compresion during an X-Ray mammography

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

Segmentation of the breast skin and its influence in the simulation of the breast compresion during an X-Ray mammography

Mostrar el registro sencillo del ítem

Ficheros en el ítem

dc.contributor.author Solves Llorens, Juan Antonio es_ES
dc.contributor.author Rupérez Moreno, María José es_ES
dc.contributor.author Monserrat Aranda, Carlos es_ES
dc.contributor.author Feliu, E. es_ES
dc.contributor.author García, M. es_ES
dc.contributor.author Lloret, M. es_ES
dc.date.accessioned 2014-04-01T12:03:44Z
dc.date.available 2014-04-01T12:03:44Z
dc.date.issued 2012
dc.identifier.issn 1537-744X
dc.identifier.uri http://hdl.handle.net/10251/36762
dc.description.abstract 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 segmented in this way, is constructed to study the influence of considering real skin in the simulation of the breast compression during an X-ray mammography. The reaction forces of the plates are obtained and compared with the reaction forces obtained using classical methods that model the skin as a 2D membranes that cover all the breast. The results of this work show that, in most of the cases, the method of skin segmentation is accurate and that real skin should be considered in the simulation of the breast compression during the X-ray mammographies. Copyright © 2012 J. A. Solves Llorens et al. es_ES
dc.description.sponsorship This project has been partially funded by the Regional Valencian Government through IMPIVA with FEDER funding (reference IMIDTF/2010/111), by CDTI (reference IDI-20101153), and by MICINN (reference TIN2010-20999-C04-01). The authors would like to express their gratitude to the personnel from the Hospitals HCB and La Fe. en_EN
dc.format.extent 8 es_ES
dc.language Inglés es_ES
dc.publisher Hindawi Publishing Corporation es_ES
dc.relation.ispartof Scientific World Journal es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Biological model es_ES
dc.subject Computer assisted diagnosis es_ES
dc.subject Mammography es_ES
dc.subject Physiology es_ES
dc.subject Radiography es_ES
dc.subject Biomechanics es_ES
dc.subject Image reconstruction es_ES
dc.subject Imaging and display es_ES
dc.subject Nuclear magnetic resonance imaging es_ES
dc.subject Patient positioning es_ES
dc.subject Thickness es_ES
dc.subject Radiographic Image Interpretation, Computer-Assisted es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Segmentation of the breast skin and its influence in the simulation of the breast compresion during an X-Ray mammography es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1100/2012/876489
dc.relation.projectID info:eu-repo/grantAgreement/GVA//IMIDTF%2F2010%2F111/ES/BIO-MAMA. LOCALITZADOR DE TUMORS EN RECONSTRUCCIONS 3D DE MAMES/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//IDI-20101153/ES/TERAPIAS ASISTIVAS COLABORATIVAS PARA EL TRATAMIENTO ONCOLÓGICO MEDIANTE EL USO DE TECNOLOGÍAS TIC - ONCOTIC/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//TIN2010-20999-C04-01/ES/MODELIZACION BIOMECANICA DE TEJIDOS APLICADO A CIRUGIA ASISTIDA POR ORDENADOR/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Interuniversitario de Investigación en Bioingeniería y Tecnología Orientada al Ser Humano - Institut Interuniversitari d'Investigació en Bioenginyeria i Tecnologia Orientada a l'Ésser Humà es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Solves Llorens, JA.; Rupérez Moreno, MJ.; Monserrat Aranda, C.; Feliu, E.; García, M.; Lloret, M. (2012). Segmentation of the breast skin and its influence in the simulation of the breast compresion during an X-Ray mammography. Scientific World Journal. 2012:1-8. https://doi.org/10.1100/2012/876489 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1100/2012/876489 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 8 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 2012 es_ES
dc.relation.senia 224010
dc.identifier.pmid 22629220 en_EN
dc.identifier.pmcid PMC3354746 en_EN
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder Instituto de la Pequeña y Mediana Industria de la Generalitat Valenciana es_ES
dc.description.references Malur, S., Wurdinger, S., Moritz, A., Michels, W., & Schneider, A. (2000). Comparison of written reports of mammography, sonography and magnetic resonance mammography for preoperative evaluation of breast lesions, with special emphasis on magnetic resonance mammography. Breast Cancer Research, 3(1). doi:10.1186/bcr271 es_ES
dc.description.references Rajagopal, V., Nielsen, P. M. F., & Nash, M. P. (2010). Modeling breast biomechanics for multi‐modal image analysis—successes and challenges. Wiley Interdisciplinary Reviews: Systems Biology and Medicine, 2(3), 293-304. doi:10.1002/wsbm.58 es_ES
dc.description.references Rajagopal, V., Lee, A., Chung, J.-H., Warren, R., Highnam, R. P., Nash, M. P., & Nielsen, P. M. F. (2008). Creating Individual-specific Biomechanical Models of the Breast for Medical Image Analysis. Academic Radiology, 15(11), 1425-1436. doi:10.1016/j.acra.2008.07.017 es_ES
dc.description.references Ruiter, N. V., Stotzka, R., Muller, T.-O., Gemmeke, H., Reichenbach, J. R., & Kaiser, W. A. (2006). Model-based registration of X-ray mammograms and MR images of the female breast. IEEE Transactions on Nuclear Science, 53(1), 204-211. doi:10.1109/tns.2005.862983 es_ES
dc.description.references Kellner, A. L., Nelson, T. R., Cervino, L. I., & Boone, J. M. (2007). Simulation of Mechanical Compression of Breast Tissue. IEEE Transactions on Biomedical Engineering, 54(10), 1885-1891. doi:10.1109/tbme.2007.893493 es_ES
dc.description.references Del Palomar, A. P., Calvo, B., Herrero, J., López, J., & Doblaré, M. (2008). A finite element model to accurately predict real deformations of the breast. Medical Engineering & Physics, 30(9), 1089-1097. doi:10.1016/j.medengphy.2008.01.005 es_ES
dc.description.references Willson, S. A., Adam, E. J., & Tucker, A. K. (1982). Patterns of breast skin thickness in normal mammograms. Clinical Radiology, 33(6), 691-693. doi:10.1016/s0009-9260(82)80407-8 es_ES
dc.description.references Huang, S.-Y., Boone, J. M., Yang, K., Kwan, A. L. C., & Packard, N. J. (2008). The effect of skin thickness determined using breast CT on mammographic dosimetry. Medical Physics, 35(4), 1199-1206. doi:10.1118/1.2841938 es_ES
dc.description.references Van Engeland, S., Snoeren, P. R., Huisman, H., Boetes, C., & Karssemeijer, N. (2006). Volumetric breast density estimation from full-field digital mammograms. IEEE Transactions on Medical Imaging, 25(3), 273-282. doi:10.1109/tmi.2005.862741 es_ES
dc.description.references Khazen, M., Warren, R. M. L., Boggis, C. R. M., Bryant, E. C., Reed, S., … Warsi, I. (2008). A Pilot Study of Compositional Analysis of the Breast and Estimation of Breast Mammographic Density Using Three-Dimensional T1-Weighted Magnetic Resonance Imaging. Cancer Epidemiology Biomarkers & Prevention, 17(9), 2268-2274. doi:10.1158/1055-9965.epi-07-2547 es_ES
dc.description.references Nie, K., Chen, J.-H., Chan, S., Chau, M.-K. I., Yu, H. J., Bahri, S., … Su, M.-Y. (2008). Development of a quantitative method for analysis of breast density based on three-dimensional breast MRI. Medical Physics, 35(12), 5253-5262. doi:10.1118/1.3002306 es_ES
dc.description.references Nie, K., Chang, D., Chen, J.-H., Shih, T.-C., Hsu, C.-C., Nalcioglu, O., & Su, M.-Y. (2009). Impact of skin removal on quantitative measurement of breast density using MRI. Medical Physics, 37(1), 227-233. doi:10.1118/1.3271353 es_ES
dc.description.references Gil, D., & Radeva, P. (2004). A Regularized Curvature Flow Designed for a Selective Shape Restoration. IEEE Transactions on Image Processing, 13(11), 1444-1458. doi:10.1109/tip.2004.836181 es_ES
dc.description.references Osher, S., & Tsai, R. (2003). Level Set Methods and Their Applications in Image Science. Communications in Mathematical Sciences, 1(4), 1-20. doi:10.4310/cms.2003.v1.n4.a1 es_ES
dc.description.references Tanner, C., Schnabel, J. A., Hill, D. L. G., Hawkes, D. J., Leach, M. O., & Hose, D. R. (2006). Factors influencing the accuracy of biomechanical breast models. Medical Physics, 33(6Part1), 1758-1769. doi:10.1118/1.2198315 es_ES
dc.description.references Hendriks, F. M., Brokken, D., van Eemeren, J. T. W. M., Oomens, C. W. J., Baaijens, F. P. T., & Horsten, J. B. A. M. (2003). A numerical-experimental method to characterize the non-linear mechanical behaviour of human skin. Skin Research and Technology, 9(3), 274-283. doi:10.1034/j.1600-0846.2003.00019.x es_ES


Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem