Cálculo de elasticidad relativa de materiales mediante elastografía ultrasónica/Computing relative elasticity of materials by ultrasonic elastography

Authors

DOI:

https://doi.org/10.15665/rp.v14i2.609

Keywords:

Elastografía por ultrasonido, Imágenes médicas, Deformación 2D, Normalización de elastogramas

Abstract

En este artículo se presenta el procedimiento para calcular la elasticidad relativa de materiales usando elastografía por ultrasonido. El artículo describe el procedimiento necesario para el cálculo del elastograma a mano libre, utilizando algoritmos reportados en la literatura para cálculo de desplazamientos, cálculo de deformación y normalización de la imagen del elastograma. Utilizando marcos de ultrasonido de phantoms y de tejidos biológicos disponibles en bases de datos de sitios en internet, se estudia la confiabilidad de la información de elasticidad relativa obtenida con tales algoritmos, con base al parámetro de calidad relación señal a ruido. El resultado de este análisis muestra la necesidad de nuevos algoritmos para poder proporcionar una información semicuantitativa acerca de la dureza de los tejidos que sea de fácil interpretación y buena confiabilidad para el uso de esta técnica como herramienta diagnóstica de enfermedades en la práctica clínica.

Author Biographies

  • Carlos Alberto Gaviria López, University of Cauca
    Departamento de Electrónica, Instrumentación y Control, Universidad del Cauca
  • Elena Muñoz España, University of Cauca
    Departamento de Electrónica, Instrumentación y Control, Universidad del Cauca

References

P. Ricci, E. Maggini, E. Mancuso, P. Lodise, V. Cantisani y C. Catalano, “Clinical application of breast elastography: State of the art”, European Journal of Radiology, 83 (3), 429-437, 2013.

H. Shao-Yun, O. Bing, L. Lu-Jing, P. Yu-Lan, W. Yi, L. Li-Sha, X. Ying, L. Shou-Jun, W. Chang-Jun, J. Yu-Xin, P. S. Sundar, X. Ping, H. Yi, L. Jing, Z. Hui y L. Bao-Ming, “Could ultrasonic elastography help the diagnosis of breast cancer with the usage of sonographic BI-RADS classification?”, European Journal of Radiology, 84 (12), 2492-2500, 2015.

A. Basarab, H. Liebgott, F. Morestin, D. Lyshchik, T. Higashi, R. Asato y P. Delachartre, “A method for vector displacement estimation with ultrasound imaging and its application for thyroid nodular disease”, Medical Image Analysis, 12 (3), 259-274, 2008.

R. Souchon (2004), Prostate cancer detection and HIFU therapy monitoring using elastography, Ph.D. thesis, National Institute of Applied Sciences, Lyon.

Q. Zhang, C. Li, M. Zhou, Y. Liao, C. Huang, J. Shi, Y. Wang y W. Wang, “Quantification of carotid plaque elasticity and intraplaque neovascularization using contrast-enhanced ultrasound and image registration-based elastography”, Ultrasonics, 62, 253-262, 2015.

A. Guibal, G. Renosi, A. Rode, J. Scoazec, O. Guillaud, L. Chardon, M. Munteanu, J. Dumortier, F. Collin y T. Lefort, “Shear wave elastography: An accurate technique to stage liver fibrosis in chronic liver diseases”, Diagnostic and Interventional Imaging, 97 (1), 91-99, 2016.

J. Ophir, I. Céspedes, H. Ponnekanti, Y. Yazdi y X. Li, “Elastography: A quantitative method for imaging the elasticity of biological tissues”, Ultrasonic Imaging, 13 (2), 111-134, 1991.

C. Gaviria, E. Muñoz, C. Gutierrez y B. Jaramillo, (2014, Oct). “Analysis of the impact on the quality of an elastogram, of the algorithms for strains calculation”. Presentado en el III Congreso internacional de ingeniería mecatrónica y automatización, Cartagena, 2014.

F. Schaefer, I. Heer, P. Schaefer, C. Mundhenke, S. Osterholz, B. Order, N. Hofheinz, J. Hedderich, M. Heller, W. Jonat y I. Schreer, “Breast ultrasound elastography—Results of 193 breast lesions in a prospective study with histopathologic correlation”, European Journal of Radiology, 77 ( 3), 450-456, 2011.

R. G. Barr, “Elastography in Clinical Practice”, Radiologic Clinics of North America, 52 (6), 1145-1162, 2014.

A. Fausto, D. Rubello, A. Carboni, P. Mastellari, S. Chondrogiannis y L. Volterrani, “Clinical value of relative quantification ultrasound elastography in characterizing breast tumors”, Biomedicine & Pharmacotherapy, 75, 88-92, 2015.

J. Gennisson, T. Deffieux, M. Fink y T. M., “Ultrasound elastography: principles and techniques”, Diagnostic and interventional imaging, 94 (5), 487-495, 2013.

T. Faruk, M. K. Islam, S. Arefin y M. Z. Haq, “The Journey of Elastography: Background, Current Status, and Future Possibilities in Breast Cancer Diagnosis”, Clinical Breast Cancer, 15 (5), 313-324, 2015.

H. Rivaz, E. Boctor, M. Choti y G. Hager, “Real-Time Regularized Ultrasound Elastography”, Medical Imaging, IEEE Transactions on, 30 (4), 928-945, 2011.

M. Lu, Y. Tang, R. Sun, T. Wang, S. Chen y R. Mao, “A real time displacement estimation algorithm for ultrasound elastography”, Computers in Industry, 69 (1), 61-71, 2015.

L. Chen, R. J. Housden, G. M. Treece, A. H. Gee y P. R. W., “A Hybrid Displacement Estimation Method for Ultrasonic Elasticity Imaging”, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 57 (4), 866-882, 2010.

H. Rivaz, E. Boctor, P. Foroughi, R. Zellars, G. Fichtinger y G. Hager, “Ultrasound Elastography: A Dynamic Programming Approach”, IEEE Transactions on medical imaging, 27 (10), 1373-1377,2008.

K. Liu, P. Zhang, J. Shao, X. Zhu, Y. Zhang y J. Bai, “A 2D strain estimator with numerical optimization method for soft-tissue elastography”, Ultrasonics, 49 (8), 723-732, 2009.

J. Lindop, G. Treece, A. Gee y R. W. Prager, “An intelligent interface for freehand strain imaging”, Ultrasound in Medicine & Biology, 34 (7), 1117–11128, 2008.

H. Rivaz, March (2015). Hassan Rivaz [Internet], Concordia University. Disponible desde: <http://users.encs.concordia.ca/~hrivaz/> [Acceso 5 de junio 2015].

University of Illinois (2015). Insana Lab: Ultrasonic Imaging [Internet] University of Illinois at Urbana-Champaign. Disponible desde: <http://ultrasonics.bioengineering.illinois.edu/index.asp> [Acceso 11 Febrero 2014].

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Published

2016-06-16

Issue

Vol. 14 No. 2 (2016): Julio - Diciembre

Section

Articles

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