Minimal-path contours combined with speckle tracking to estimate 2D displacements of the carotid artery wall in B-mode imaging

IEEE International Ultrasonics Symposium, IUS

Volumn , Issue , 2011, Pages 732-735

  Zahnd, Guillaume ^a   Orkisz, MacIej ^a   Sérusclat, André ^b   Vray, Didier ^a  

^a UNIVERSITÉ DE LYON   (France)

^b LOUIS PRADEL HOSPITAL   (France)

Author keywords

[No Author keywords available]

Indexed keywords

2-D DISPLACEMENT; B-MODE IMAGING; BLOCK MATCHING; CAROTID ARTERY; COMMON CAROTID ARTERY; CONTOUR SEGMENTATION; CONVOLUTION OPERATORS; RADIAL DISPERSION; SPECKLE TRACKING; UPDATE SCHEMES;

MOTION COMPENSATION; ULTRASONIC APPLICATIONS;

SPECKLE;

EID: 84865782954     PISSN: 19485719     EISSN: 19485727     Source Type: Conference Proceeding    
DOI: 10.1109/ULTSYM.2011.0178     Document Type: Conference Paper

References (25)

1. Mattace-Raso FUS, van der Cammen, TJM, Hofman A, van Popele NM, Bos ML, Schalekamp MADH, Asmar R, Reneman RS, Hoeks APG, Breteler M, Witteman JCM. Arterial stiffness and risk of coronary heart disease and stroke: the Rotterdam Study. Circ., vol. 113, no. 5, pp. 657-663, 2006.
2. O'Rourke M, Staessen JA, Vlachopoulos C, Duprez D, Plante GE. Clinical applications of arterial stiffness; definitions and references values. Am. J. Hypertens., vol. 15, no. 5, pp. 426-444, 2002.
3. Laurent S, Cockcroft J, Van Bortel L, Boutouyrie P, Giannattasio C, Hayoz D, Pannier B, Vlachopoulos C, Wilkinson I, Struijker-Boudier H. Expert consensus document on arterial stiffness: methodological issues and clinical applications. European Heart Journal, vol. 27, no. 21, pp. 2588-2605, 2006.
4. Golemati S, Sassano A, Lever MJ, Bharath AA, Dhanjil S, Nicolaides AN. Carotid artery wall motion estimated from B-mode ultrasound using region tracking and block matching. Ultrasound Med. Biol., vol. 29, no. 3, pp. 387-399, 2003.
5. Cinthio M, Ahlgren Å R, Jansson T, Eriksson A, Persson HW, Lindström K. Evaluation of an ultrasonic echo-tracking method for measurements of arterial wall movements in two dimensions. IEEE Trans. Ultra. Ferr. Freq. Control, vol. 52, no. 8, pp. 1300-1311, 2005.
6. Cinthio M, Ahlgren Å R, Bergkvist J, Jansson T, Persson HW, Lindström K. Longitudinal movements and resulting shear strain of the arterial wall. Am. J. Physiol., vol. 291, no. 1, pp. 391-402, 2006.
7. Svedlund S, Gan LM. Longitudinal wall motion of the common carotid artery can be assessed by velocity vector imaging. Clin. Physiol. Funct. Imaging, vol. 31, no. 1, pp. 32-38, 2011.
8. Svedlund S, Eklund C, Robertsson P, Lomsky M, Gan LM. Carotid artery longitudinal displacement predicts 1-year cardiovascular outcome in patients with suspected coronary artery disease. Arterioscler. Thromb. Vasc. Biol., vol. 31, pp. 1668-1674, 2011.
9. Zahnd G, Boussel L, Marion A, Durand M, Moulin P, Sérusclat A, Vray D. Measurement of two-dimensional movement parameters of the carotid artery wall for early detection of arteriosclerosis: a preliminary clinical study. Ultrasound Med. Biol., vol. 37, no. 9, pp. 1421-1429, 2011.
10. Zahnd G, Marion A, Sérusclat A, Moulin P, Durand M, Boussel L, Vray D. A new user-independent in vivo method for 2D motion estimation of the carotid wall by ultrasound imaging for early detection of pathological behavior. Proc. IEEE Ultrason. Symp., pp. 1348-1351, 2010.
11. Cheng D, Schmidt-Trucksäss A, Cheng K, Burkhardt H. Using snakes to detect the intimal and adventitial layers of the common carotid artery wall in sonographic images Comput. Methods Programs Biomed., vol. 67, no. 1, pp. 27-37, 2002.
12. Loizou CP, Pattichis CS, Pantziaris M, Tyllis T, Nicolaides A. Snakes based segmentation of the common carotid artery intima media. Med. Biol. Eng. Comput., vol. 45, no. 1, pp. 35-49, 2007.
13. Rocha R, Campilho A, Silva J, Azevedo E, Santos R. Segmentation of the carotid intima-media region in B-mode ultrasound images. Image Vis. Comput., vol. 28, no. 4, pp. 614-625, 2010.
14. Liang Q, Wendelhag I, Wikstrand J, Gustavsson T. A multiscale dynamic programming procedure for boundary detection in ultrasonic artery images. IEEE Trans. Med. Imaging, vol. 19, no. 2, pp. 127-142, 2000.
15. Cheng DC, Jiang X. Detections of Arterial Wall in Sonographic Artery Images Using Dual Dynamic Programming. IEEE Trans. Info. Tech. in Biomed., vol. 12, no. 6, pp. 792-799, 2008.
16. Lee YB, Choi Y.J, Kim MH. Boundary detection in carotid ultrasound images using dynamic programming and a directional Haar-like filter. Comput. Biol. Med., vol. 40, no. 8, pp. 687-697, 2010.
17. Delsanto S, Molinari F, Giustetto P, Liboni W, Badalamenti S, Suri JS. Characterization of a completely user-independent algorithm for carotid artery segmentation in 2-D ultrasound images. IEEE Trans. Instrum. Meas., vol. 56, no. 4, pp. 1265-1274, 2007.
18. Golemati S, Stoitsis J, Sifakis EG, Balkizas T, Nikita KS. Using the Hough transform to segment ultrasound images of longitudinal and transverse sections of the carotid artery. Ultrasound Med. Biol., vol. 33, no. 12, pp. 1918-1932, 2007.
19. Destrempes F, Meunier J, Giroux MF, Soulez G, Cloutier G. Segmentation in ultrasonic B-mode images of healthy carotid arteries using mixtures of Nakagami distributions and stochastic optimization. IEEE Trans. Med. Imaging, vol. 28, no. 2, pp. 215-229, 2009.
20. Faita F, Gemignani V, Bianchini E, Giannarelli C, Ghiadoni L, Demi M. Real-time measurement system for evaluation of the carotid intimamedia thickness with a robust edge operator. J. Ultras. Med., vol. 27, no. 9, pp. 1353-1361, 2008.
21. Rossi AC, Brands PJ, Hoeks A.P.G. Automatic Localization of Intimal and Adventitial Carotid Artery Layers with Noninvasive Ultrasound: A Novel Algorithm Providing Scan Quality Control. Ultrasound Med. Biol., vol. 36, no. 3, pp. 467-479, 2010.
22. Kanai H, Koiwa Y, Zhang J. Real-time measurements of local myocardium motion and arterial wall thickening. IEEE Trans. Ultra. Ferr. Freq. Control, vol. 46, no. 5, pp. 1229-1241, 1999.
23. Selzer RH, Mack WJ, Lee PL, Kwong-Fu H, Hodis HN. Improved common carotid elasticity and intima-media thickness measurements from computer analysis of sequential ultrasound frames. Atherosclerosis, vol. 154, no. 1, pp. 185-193, 2001.
24. Cohen L. Minimal paths and fast marching methods for image analysis. Mathematical Models in Computer Vision: The Handbook, pp. 97-111, 2005.
25. Giachetti A. Matching techniques to compute image motion. Image Vis. Comput., vol. 18, no. 3, pp. 247-260, 2000.