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Inicio Revista Iberoamericana de Automática e Informática Industrial RIAI Una Técnica Bayesiana y de Varianza Mínima para Segmentación del Lumen Arteri...
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Vol. 11. Núm. 3.
Páginas 337-347 (julio - septiembre 2014)
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Visitas
3279
Vol. 11. Núm. 3.
Páginas 337-347 (julio - septiembre 2014)
Open Access
Una Técnica Bayesiana y de Varianza Mínima para Segmentación del Lumen Arterial en Imágenes de Ultrasonido
A Bayesian and Minimum Variance Technique for Arterial Lumen Segmentation in Ultrasound Imaging
Visitas
3279
Sergio Rogelio Tinoco-Martíneza, Felix Calderona,
Autor para correspondencia
calderon@umich.mx

Autor para correspondencia.
, Carlos Lara-Alvareza, Jaime Carranza-Madrigalb
a División de Estudios de Posgrado. Facultad de Ingeniería Eléctrica
b Escuela de Enfermería y Salud Pública. Universidad Michoacana de San Nicolás de Hidalgo. Santiago Tapia 403. Colonia Centro. Morelia, Michoacán, Meáxico. C. P. 58000
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Las enfermedades cardiovasculares (ECVs) son la causa principal de decesos en el mundo entero. Basada en el ultrasonido, la valoracio¿n principal de las ECVs es la medicio¿n de la íntima-media carotídea y de la funcio¿n endotelial humeral. En este trabajo se proponen mejoras a la metodología automática de deteccio¿n del lumen arterial, fundamental en las pruebas referidas, presentada en (Calderon et al., 2013); basada en grafos y deteccio¿n de bordes. Se propone un criterio bayesiano para segmentar el árbol de expansio¿n mínima del grafo creado con los puntos intermedios entre los bordes. El lumen se localiza aplicando sobre las trayectorias segmentadas tres criterios: de longitud, de obscuridad y, el propuesto, de varianza mínima. En 294 sonografías el error promedio en la deteccio¿n de la pared humeral cercana es 14.6μm y desviacio¿n estándar 17.0μm. En la pared lejana es 15.1μm y desviacio¿n estándar 14.5μm. Nuestra metodología mantiene el desempen¿o superior a los resultados en la literatura reciente que la metodología original presenta; superándola en exactitud general.

Palabras clave:
Deteccio¿n automática
ultrasonografía
caro¿tida
humeral
lumen
bayesiano
varianza
grafos
ajuste polinomial
Abstract

Cardiovascular diseases (CVDs) are the worldwide leading cause of deaths. Based on ultrasound, the primary assessment of CVDs is measurement of the carotid intima-media thickness and brachial endothelial function. In this work we propose im- provements to the automatic arterial lumen detection metho- dology, fundamental for the cited tests, presented in (Calderon et al., 2013); based on graphs and edge detection. We propose a bayesian approach for segmenting the minimum spanning tree of the graph created with intermediate points between edges. Lumen is located applying three criteria on segmented trajec- tories: length, dark and, our proposal, minimum variance. In 294 sonograms, mean error in brachial near wall detection was 14.6μm and standard deviation of 17.0μm. For far wall it was 15.1μm and standard deviation of 14.5μm. Our methodology maintains superior performance to results in recent literature that the original methodology presents; but surpasses it in ove- rall accuracy.

Keywords:
Automatic detection
ultrasonography
carotid
brachial
lumen
bayesian
variance
graphs
polynomial fitting
Referencias
[Amato et al., 2007]
M. Amato, P. Montorsi, A. Ravani, E. Oldani, S. Galli, P.M. Ravagnani, E. Tremoli, D. Baldassarre.
Carotid intima-media thickness by B-mode ultrasound as surrogate of coronary atherosclerosis: Correlation with quantitative coronary angiography and coronary intravascular ultrasound findings.
European Heart Journal, 28 (September 2007), pp. 2094-2101
[Blake and Isard, 2000]
Blake, A., Isard, M., 2000. Active contours. Springer-Verlag.
[Calderon et al., 2013]
F. Calderon, S.R. Tinoco-Mart¿ınez, J. Carranza-Madrigal.
Un algoritmo basado en grafos para la detecci¿on autom¿atica de la luz arterial en im¿agenes ultrasonogr¿aficas.
Revista Iberoamericana de Autom¿atica e Inform¿atica Industrial, 10 (October - December 2013), pp. 423-433
[Canny, 1986]
J. Canny.
A computational approach to edge detection.
IEEE Transactions on Pattern Analysis and Machine Intelligence PAMI-8 (6), (November 1986), pp. 679-698
[Celermajer et al., 1994]
D.S. Celermajer, K.E. Sorensen, C. Bull, J. Robinson, J.E. Deanfield.
Endothelium-dependent dilation in the systemic arteries of asymptomatic subjects relates to coronary risk factors and their interaction.
Journal of the American College of Cardiology, 24 (1994), pp. 1468-1474
[Cheng et al., 2002]
D.C. Cheng, A. Schmidt-Trucksass, K.S. Cheng, H. Burkhardt.
Using snakes to detect the intimal and adventitial layers of the common carotid artery wall in sonographic images.
Computer Methods and Programs in Biomedicine, 67 (2002), pp. 27-37
[Cohen, 1991]
L.D. Cohen.
On active contour models and balloons.
Computer Vision Graphics Image Processing Image Understanding, 53 (1991), pp. 211-218
[Delsanto et al., 2005]
S. Delsanto, F. Molinari, P. Giustetto, W. Liboni, S. Badalamenti.
CULEX-Completely User-independent Layers EXtraction: ultrasonic carotid artery images segmentation.
Proceedings of the 2005 IEEE Engineering in Medicine and Biology Society 27th Annual Conference, 6 (2005), pp. 6468-6471
[Delsanto et al., 2007]
S. Delsanto, F. Molinari, P. Giustetto, W. Liboni, S. Badalamenti, J.S. Suri.
Characterization of a completely user-independent algorithm for carotid artery segmentation in 2-D ultrasound images.
IEEE Transactions on Instrumentation and Measurement, 56 (2007), pp. 1265-1274
[Delsanto et al., 2006]
S. Delsanto, F. Molinari, W. Liboni, P. Giustetto, S. Badalamenti, J.S. Suri.
User-independent plaque characterization and accurate IMT measurement of carotid artery wall using ultrasound.
Proceedings of the 2006 IEEE Engineering in Medicine and Biology Society 28th Annual International Conference, 1 (2006), pp. 2404-2407
[Destrempes et al., 2009]
F. Destrempes, J. Meunier, M.F. Giroux, G. Soulez, G. Cloutier.
Segmentation in ultrasonic B-mode images of healthy carotid arteries using mixtures of Nakagami distributions and stochastic optimization.
IEEE Transactions on Medical Imaging, 28 (2009), pp. 215-229
[Faita et al., 2008]
F. Faita, V. Gemignani, E. Bianchini, C. Giannarelli, L. Ghiadoni, M. Demi.
Real-time measurement system for evaluation of the carotid intimamedia thickness with a robust edge operator.
Journal of Ultrasound in Medicine, 27 (2008), pp. 1353-1361
[Fischler and Bolles, 1981]
M.A. Fischler, R.C. Bolles.
Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography.
Communications of the ACM, 24 (June 1981), pp. 381-395
[Furberg et al., 1994]
C.D. Furberg, R.P. Byington, T.E. Craven.
Lessons learned from clinical trials with ultrasound end-points.
Journal of Internal Medicine, 236 (1994), pp. 575-580
[Golemati et al., 2005]
S. Golemati, J. Stoitsis, T. Balkizas, K. Nikita.
Comparison of B-mode M-mode and Hough transform methods for measurement of arterial diastolic and systolic diameters.
Proceedings of the 2005 IEEE Engineering in Medicine and Biology Society 27th Annual Conference, 2 (2005), pp. 1758-1761
[Golemati et al., 2007]
S. Golemati, J. Stoitsis, E.G. Sifakis, T. Balkizas, K.S. Nikita.
Using the Hough transform to segment ultrasound images of longitudinal and transverse sections of the carotid artery.
Ultrasound in Medicine and Biology, 33 (2007), pp. 1918-1932
[Golemati et al., 2004]
S. Golemati, T.J. Tegos, A. Sassano, K.S. Nikita, A.N. Nicolaides.
Echogenicity of B-mode sonographic images of the carotid artery: work in progress.
Journal of Ultrasound in Medicine, 23 (2004), pp. 659-669
[Gutierrez et al., 2002]
M.A. Gutierrez, P.E. Pilon, S.G. Lage, L. Kopel, R.T. Carvalho, S.S. Furuie.
Automatic measurement of carotid diameter and wall thickness in ultrasound images.
Computers in Cardiology, 29 (2002), pp. 359-362
[Hough, 1962]
Hough, P.V. C., 1962. Method and means for recognizing complex patterns. U.S. Patent No. 3069654.
[Kass et al., 1988]
M. Kass, A. Witkin, D. Terzopoulos.
Snakes: Active contour models Int.
Journal of Computer Vision, 1 (1988), pp. 321-331
[Kruskal, 1956]
J.B. Kruskal.
On the shortest spanning subtree of a graph and the traveling salesman problem.
En: Proceedings of the American Mathematical Society., (1956), pp. 48-50
[Lai and Chin, 1995]
K.F. Lai, R.T. Chin.
Deformable contours-modeling and extraction IEEE Transactions on Pattern Analysis and Machine Intelligence, 17 (1995), pp. 1084-1090
[Liang et al., 2000]
Q. Liang, I. Wendelhag, J. Wikstrand, T. Gustavsson.
A multiscale dynamic programming procedure for boundary detection in ultrasonic artery images.
IEEE Transactions on Medical Imaging, 19 (2000), pp. 127-142
[Liguori et al., 2001]
C. Liguori, A. Paolillo, A. Pietrosanto.
An automatic measurement system for the evaluation of carotid intima-media thickness.
IEEE Transactions on Instumentation and Measurement, 50 (2001), pp. 1684-1691
[Lobregt and Viergever, 1995]
S. Lobregt, M.A. Viergever.
A discrete dynamic contour model.
IEEE Transactions on Medical Imaging, 14 (1995), pp. 12-24
[Loizou et al., 2007]
C.P. Loizou, C.S. Pattichis, M. Pantziaris, T. Tyllis, A. Nicolaides.
Snakes based segmentation of the common carotid artery intima media. Medical and Biological Engineering and Computing.
, 45 (2007), pp. 35-49
[Molinari et al., 2008]
F. Molinari, S. Delsanto, P. Giustetto, W. Liboni, S. Badalamenti, J.S. Suri.
Advances in diagnostic and therapeutic ultrasound imaging.
Artech House, Norwood, MA, Ch. User-independent plaque segmentation and accurate intima-media thickness measurement of carotid artery wall using ultrasound, (2008), pp. 111-140
[Molinari et al., 2009]
F. Molinari, W. Liboni, P. Giustetto, S. Badalamenti, J.S. Suri.
Automatic Computer-based Tracings (ACT) in longitudinal 2-D ultrasound images using different scanners.
Journal of Mechanics in Medicine and Biology, 9 (2009), pp. 481-505
[Molinari and Zeng, 2010]
F. Molinari, G.S.J. Zeng.
An integrated approach to computer-based automated tracing and its validation for 200 common carotid arterial wall ultrasound images: a new technique.
Journal of Ultrasound in Medicine, 29 (2010), pp. 399-418
[Molinari et al., 2010a]
F. Molinari, G. Zeng, J.S. Suri.
Atherosclerosis Disease Management Springer.
Ch. An Integrated Approach to Computer-Based Automated Tracing and IMT Measurement for Carotid Artery Longitudinal Ultrasound Images, (2010), pp. 221-251
[Molinari et al., 2010b]
F. Molinari, G. Zeng, J.S. Suri.
Atherosclerosis Disease Management Springer.
Ch. Techniques and challenges in intima–media thickness measurement for carotid ultrasound images: a review, (2010), pp. 281-324
[Organizacion, 2011]
Organizacion Mundial de la Salud, Ene 2011. Enfermedades cardiovasculares http://www.who.int/mediacentre/factsheets/fs317/es/index.html.
[Pignoli and Longo, 1988]
P. Pignoli, T. Longo.
Evaluation of atherosclerosis with b-mode ultrasound imaging.
The Journal of nuclear medicine and allied sciences, 32 (1988), pp. 166-173
[Ronfard, 1994]
R. Ronfard.
Region based strategies for active contour models.
International Journal of Computer Vision, 13 (1994), pp. 229-251
[Schmidt and Wendelhag, 1999]
C. Schmidt, I. Wendelhag.
How can the variability in ultrasound measurement of intima-media thickness be reduced?. studies of interobserver variability in carotid and femoral arteries.
Clinical Physiology, 19 (1999), pp. 45-55
[Sedgewick and Wayne, 2011]
R. Sedgewick, K. Wayne.
Algorithms. Pearson Education, Inc, (2011),
[Sivia and Skilling, 2006]
D.S. Sivia, J. Skilling.
Data Analysis: A Bayesian Tutorial. Oxford University Press.
USA, (2006),
[Stein et al., 2005]
J.H. Stein, C.E. Korcarz, M.E. Mays, P.S. Douglas, M. Palta, H. Zhang, T. LeCaire, D. Paine, D. Gustafson, L. Fan.
A semiautomated ultrasound border detection program that facilitates clinical measurement of ultrasound carotid intima-media thickness.
Journal of the American Society of Echocardiography, 18 (2005), pp. 244-251
[Stoitsis et al., 2008]
J. Stoitsis, S. Golemati, S. Kendros, K.S. Nikita.
Automated detection of the carotid artery wall in B-mode ultrasound images using active contours initialized by the Hough transform.
Proceedings of the 2008 IEEE Engineering in Medicine and Biology Society 30th Annual International Conference, 2008 (2008), pp. 3146-3149
[Strang, 2006]
Strang, G., 2006. A¿ lgebra lineal y sus aplicaciones, 4th Edicio¿n. Thomson.
[Touboul et al., 1992]
P.J. Touboul, P. Prati, P. Yves Scarabin, V. Adrai, E. Thibout, P. Ducimetiere.
Use of monitoring software to improve the measurement of carotid wall thickness by b-mode imaging.
Journal of Hypertension, 10 (1992), pp. S37-S42
[Wendelhag et al., 1991]
I. Wendelhag, T. Gustavsson, M. Suurk¿ula, G. Berglund, J. Wikstrand.
Ultrasound measurement of wall thickness in the carotid artery: fundamental principles and description of a computerized analysing system.
Clinical Physiology, 11 (1991), pp. 565-577
[Wendelhag et al., 1997]
I. Wendelhag, Q. Liang, T. Gustavsson, J. Wikstrand.
A new automated computerized analyzing system simplifies readings and reduces the variability in ultrasound measurement of intima-media thickness.
Stroke, 28 (1997), pp. 2195-2200
[Wendelhag et al., 1992]
I. Wendelhag, O. Wiklund, J. Wikstrand.
Arterial wall thickness in familial hypercholesterolemia. ultrasound measurement of intima-media thickness in the common carotid artery.
Arteriosclererosis, Thrombosis, and Vascular Biology, 12 (1992), pp. 70-77
[Wendelhag et al., 1996]
I. Wendelhag, O. Wiklund, J. Wikstrand.
On quantifying plaque size and intima-media thickness in carotid and femoral arteries. comments on results from a prospective ultrasound study in patients with familial hypercholesterolemia Arteriosclererosis.
Thrombosis, and Vascular Biology, 16 (1996), pp. 843-850
[Williams and Shah, 1992]
D.J. Williams, M. Shah.
A fast algorithm for active contours and curvature estimation.
Computer Vision Graphics and Image Processing: Image Understanding, 55 (1992), pp. 14-26
[Xu and Prince, 1997]
C. Xu, J.L. Prince.
Gradient vector flow: A new external force for snakes Proceedings of the 1997 IEEE Computer Vision and Pattern Recognition (CVPR’97) Computer Society Conference, 1997 (1997), pp. 66-71
[Xu and Prince, 1998]
C. Xu, J.L. Prince.
Snake, shapes, and gradient vector flow.
IEEE Transactions on Image Processing, 7 (1998), pp. 359-369
[Xu et al., 2001]
C. Xu, A. Yezzi, J.L. Prince.
A summary of geometric level set analogues for a general class of parametric active contour and surface models En: Proceedings of the 1st.
IEEE Workshop on Variational and Level Set Methods in Computer Vision., (2001), pp. 104-111
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