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

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

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dc.contributor.author Solves Llorens, Juan Antonio es_ES
dc.contributor.author Rupérez Moreno, María José es_ES
dc.contributor.author Monserrat, C. es_ES
dc.contributor.author Feliu, E es_ES
dc.contributor.author Garcia, M es_ES
dc.contributor.author Lloret, M es_ES
dc.date.accessioned 2015-05-28T11:19:08Z
dc.date.issued 2014-08
dc.identifier.issn 0094-2405
dc.identifier.uri http://hdl.handle.net/10251/50902
dc.description.abstract 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 (XR) images in both directions (from MR to XR and from XR to MR) and for both x-ray mammograms, craniocaudal (CC), and mediolateral oblique (MLO). This new approximation allows radiologists to mark points in the MR images and, without any manual intervention, it provides their corresponding points in both types of XR mammograms and vice versa. Methods: The application automatically segments magnetic resonance images and x-ray images using the C-Means method and the Otsu method, respectively. It compresses the magnetic resonance images in both directions, CC and MLO, using a biomechanical model of the breast that distinguishes the specific biomechanical behavior of each one of its three tissues (skin, fat, and glandular tissue) separately. It makes a projection of both compressions and registers them with the original XR images using affine transformations and nonrigid registration methods. Results: The application has been validated by two expert radiologists. This was carried out through a quantitative validation on 14 data sets in which the Euclidean distance between points marked by the radiologists and the corresponding points obtained by the application were measured. The results showed a mean error of 4.2 ± 1.9 mm for the MRI to CC registration, 4.8 ± 1.3 mm for the MRI to MLO registration, and 4.1 ± 1.3 mm for the CC and MLO to MRI registration. Conclusions: A complete software application that automatically registers XR and MR images of the breast has been implemented. The application permits radiologists to estimate the position of a lesion that is suspected of being a tumor in an imaging modality based on its position in another different modality with a clinically acceptable error. The results show that the application can accelerate the mammographic screening process for high risk populations or for dense breasts. es_ES
dc.description.sponsorship This project has been partially funded by the Regional Valencian Government (reference ACOMP/2012/181), by CDTI (reference IDI-20101153), and by MICINN (reference TIN2010-20999-C04-01). The authors would like to express our gratitude to the personnel from the HCB and La Fe Hospitals. en_EN
dc.language Inglés es_ES
dc.publisher American Association of Physicists in Medicine: Medical Physics es_ES
dc.relation.ispartof Medical Physics es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Breast imaging registration es_ES
dc.subject Biomechanical modeling es_ES
dc.subject X-ray mammography es_ES
dc.subject MRI es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title A complete software application for automatic registration of x-ray mammography and magnetic resonance images es_ES
dc.type Artículo es_ES
dc.embargo.lift 10000-01-01
dc.embargo.terms forever es_ES
dc.identifier.doi 10.1118/1.4885957
dc.relation.projectID info:eu-repo/grantAgreement/GVA//ACOMP%2F2012%2F181/ 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 Cerrado 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, C.; Feliu, E.; Garcia, M.; Lloret, M. (2014). A complete software application for automatic registration of x-ray mammography and magnetic resonance images. Medical Physics. 41(8):1-12. https://doi.org/10.1118/1.4885957 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1118/1.4885957 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 12 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 41 es_ES
dc.description.issue 8 es_ES
dc.relation.senia 269062
dc.contributor.funder Generalitat Valenciana es_ES
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