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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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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

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/50902

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Metadatos del ítem

Título: 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
Entidad UPV: 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
Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Fecha difusión:
Resumen:
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 ...[+]
Palabras clave: Breast imaging registration , Biomechanical modeling , X-ray mammography , MRI
Derechos de uso: Cerrado
Fuente:
Medical Physics. (issn: 0094-2405 )
DOI: 10.1118/1.4885957
Editorial:
American Association of Physicists in Medicine: Medical Physics
Versión del editor: http://dx.doi.org/10.1118/1.4885957
Código del Proyecto:
info:eu-repo/grantAgreement/GVA//ACOMP%2F2012%2F181/
info:eu-repo/grantAgreement/MICINN//IDI-20101153/ES/TERAPIAS ASISTIVAS COLABORATIVAS PARA EL TRATAMIENTO ONCOLÓGICO MEDIANTE EL USO DE TECNOLOGÍAS TIC - ONCOTIC/
info:eu-repo/grantAgreement/MICINN//TIN2010-20999-C04-01/ES/MODELIZACION BIOMECANICA DE TEJIDOS APLICADO A CIRUGIA ASISTIDA POR ORDENADOR/
Agradecimientos:
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 ...[+]
Tipo: Artículo

References

KAISER, W. A., FISCHER, H., VAGNER, J., & SELIG, M. (2000). Robotic System for Biopsy and Therapy of Breast Lesions in a High-Field Whole-Body Magnetic Resonance Tomography Unit. Investigative Radiology, 35(8), 513-519. doi:10.1097/00004424-200008000-00008

Drukker, K., Horsch, K., & Giger, M. L. (2005). Multimodality Computerized Diagnosis of Breast Lesions Using Mammography and Sonography1. Academic Radiology, 12(8), 970-979. doi:10.1016/j.acra.2005.04.014

Behrenbruch, C. P., Marias, K., Armitage, P. A., Yam, M., Moore, N., English, R. E., … Brady, M. (2003). Fusion of contrast-enhanced breast MR and mammographic imaging data. Medical Image Analysis, 7(3), 311-340. doi:10.1016/s1361-8415(03)00015-x [+]
KAISER, W. A., FISCHER, H., VAGNER, J., & SELIG, M. (2000). Robotic System for Biopsy and Therapy of Breast Lesions in a High-Field Whole-Body Magnetic Resonance Tomography Unit. Investigative Radiology, 35(8), 513-519. doi:10.1097/00004424-200008000-00008

Drukker, K., Horsch, K., & Giger, M. L. (2005). Multimodality Computerized Diagnosis of Breast Lesions Using Mammography and Sonography1. Academic Radiology, 12(8), 970-979. doi:10.1016/j.acra.2005.04.014

Behrenbruch, C. P., Marias, K., Armitage, P. A., Yam, M., Moore, N., English, R. E., … Brady, M. (2003). Fusion of contrast-enhanced breast MR and mammographic imaging data. Medical Image Analysis, 7(3), 311-340. doi:10.1016/s1361-8415(03)00015-x

MARTÍ, R., ZWIGGELAAR, R., RUBIN, C. M. E., & DENTON, E. R. E. (2004). TWO-DIMENSIONAL–THREE-DIMENSIONAL CORRESPONDENCE IN MAMMOGRAPHY. Cybernetics and Systems, 35(1), 85-105. doi:10.1080/019697204902446858

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

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

Chung, J.-H., Rajagopal, V., Nielsen, P. M. F., & Nash, M. P. (2008). Modelling Mammographic Compression of the Breast. Lecture Notes in Computer Science, 758-765. doi:10.1007/978-3-540-85990-1_91

Reynolds, H. M., Puthran, J., Doyle, A., Jones, W., Nielsen, P. M. F., Nash, M. P., & Rajagopal, V. (2011). Mapping Breast Cancer Between Clinical X-Ray and MR Images. Computational Biomechanics for Medicine, 81-90. doi:10.1007/978-1-4419-9619-0_9

Lee, A. W. C., Rajagopal, V., Babarenda Gamage, T. P., Doyle, A. J., Nielsen, P. M. F., & Nash, M. P. (2013). Breast lesion co-localisation between X-ray and MR images using finite element modelling. Medical Image Analysis, 17(8), 1256-1264. doi:10.1016/j.media.2013.05.011

Hopp, T., Dietzel, M., Baltzer, P. A., Kreisel, P., Kaiser, W. A., Gemmeke, H., & Ruiter, N. V. (2013). Automatic multimodal 2D/3D breast image registration using biomechanical FEM models and intensity-based optimization. Medical Image Analysis, 17(2), 209-218. doi:10.1016/j.media.2012.10.003

Hopp, T., Baltzer, P., Dietzel, M., Kaiser, W. A., & Ruiter, N. V. (2011). 2D/3D image fusion of X-ray mammograms with breast MRI: visualizing dynamic contrast enhancement in mammograms. International Journal of Computer Assisted Radiology and Surgery, 7(3), 339-348. doi:10.1007/s11548-011-0623-z

Mertzanidou, T., Hipwell, J. H., Cardoso, M. J., Tanner, C., Ourselin, S., & Hawkes, D. J. (2010). X-ray Mammography – MRI Registration Using a Volume-Preserving Affine Transformation and an EM-MRF for Breast Tissue Classification. Lecture Notes in Computer Science, 23-30. doi:10.1007/978-3-642-13666-5_4

Mertzanidou, T., Hipwell, J., Cardoso, M. J., Zhang, X., Tanner, C., Ourselin, S., … Hawkes, D. (2012). MRI to X-ray mammography registration using a volume-preserving affine transformation. Medical Image Analysis, 16(5), 966-975. doi:10.1016/j.media.2012.03.001

Mertzanidou, T., Hipwell, J. H., Han, L., Taylor, Z., Huisman, H., Bick, U., … Hawkes, D. J. (2012). Intensity-Based MRI to X-ray Mammography Registration with an Integrated Fast Biomechanical Transformation. Lecture Notes in Computer Science, 48-55. doi:10.1007/978-3-642-31271-7_7

Raba, D., Oliver, A., Martí, J., Peracaula, M., & Espunya, J. (2005). Breast Segmentation with Pectoral Muscle Suppression on Digital Mammograms. Lecture Notes in Computer Science, 471-478. doi:10.1007/11492542_58

Tzikopoulos, S. D., Mavroforakis, M. E., Georgiou, H. V., Dimitropoulos, N., & Theodoridis, S. (2011). A fully automated scheme for mammographic segmentation and classification based on breast density and asymmetry. Computer Methods and Programs in Biomedicine, 102(1), 47-63. doi:10.1016/j.cmpb.2010.11.016

Wang, L., Filippatos, K., Friman, O., & Hahn, H. K. (2011). Fully automated segmentation of the pectoralis muscle boundary in breast MR images. Medical Imaging 2011: Computer-Aided Diagnosis. doi:10.1117/12.877645

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

Solves Llorens, J. A., Rupérez, M. J., Monserrat, C., Feliu, E., García, M., & Lloret, M. (2012). Segmentation of the Breast Skin and Its Influence in the Simulation of the Breast Compression during an X-Ray Mammography. The Scientific World Journal, 2012, 1-8. doi:10.1100/2012/876489

Samani, A., Bishop, J., Yaffe, M. J., & Plewes, D. B. (2001). Biomechanical 3-D finite element modeling of the human breast using MRI data. IEEE Transactions on Medical Imaging, 20(4), 271-279. doi:10.1109/42.921476

Schnabel, J. A., Tanner, C., Castellano Smith, A. D., Hill, D. L. G., Hawkes, D. J., Leach, M. O., … Hose, R. (2001). Validation of Non-rigid Registration Using Finite Element Methods. Information Processing in Medical Imaging, 344-357. doi:10.1007/3-540-45729-1_34

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

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

Tanner, C., White, M., Guarino, S., Hall-Craggs, M. A., Douek, M., & Hawkes, D. J. (2011). Large breast compressions: Observations and evaluation of simulations. Medical Physics, 38(2), 682-690. doi:10.1118/1.3525837

Torrent, A., Bardera, A., Oliver, A., Freixenet, J., Boada, I., Feixes, M., … Martí, J. (s. f.). Breast Density Segmentation: A Comparison of Clustering and Region Based Techniques. Lecture Notes in Computer Science, 9-16. doi:10.1007/978-3-540-70538-3_2

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

Han, L., Hipwell, J. H., Tanner, C., Taylor, Z., Mertzanidou, T., Cardoso, J., … Hawkes, D. J. (2011). Development of patient-specific biomechanical models for predicting large breast deformation. Physics in Medicine and Biology, 57(2), 455-472. doi:10.1088/0031-9155/57/2/455

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

Winslow, M., Xu, X. G., & Yazici, B. (2005). Development of a simulator for radiographic image optimization. Computer Methods and Programs in Biomedicine, 78(3), 179-190. doi:10.1016/j.cmpb.2005.02.004

Rueckert, D., Sonoda, L. I., Hayes, C., Hill, D. L. G., Leach, M. O., & Hawkes, D. J. (1999). Nonrigid registration using free-form deformations: application to breast MR images. IEEE Transactions on Medical Imaging, 18(8), 712-721. doi:10.1109/42.796284

Rohlfing, T., Maurer, C. R., Bluemke, D. A., & Jacobs, M. A. (2003). Volume-preserving nonrigid registration of MR breast images using free-form deformation with an incompressibility constraint. IEEE Transactions on Medical Imaging, 22(6), 730-741. doi:10.1109/tmi.2003.814791

Staring, M., Klein, S., & Pluim, J. P. W. (2006). Nonrigid registration using a rigidity constraint. Medical Imaging 2006: Image Processing. doi:10.1117/12.654362

Besson, O., Dobigeon, N., & Tourneret, J.-Y. (2011). Minimum Mean Square Distance Estimation of a Subspace. IEEE Transactions on Signal Processing, 59(12), 5709-5720. doi:10.1109/tsp.2011.2166548

Niroomandi, S., Alfaro, I., Cueto, E., & Chinesta, F. (2008). Real-time deformable models of non-linear tissues by model reduction techniques. Computer Methods and Programs in Biomedicine, 91(3), 223-231. doi:10.1016/j.cmpb.2008.04.008

Niroomandi, S., Alfaro, I., González, D., Cueto, E., & Chinesta, F. (2012). Real-time simulation of surgery by reduced-order modeling and X-FEM techniques. International Journal for Numerical Methods in Biomedical Engineering, 28(5), 574-588. doi:10.1002/cnm.1491

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