Abstract
An active contour segmentation technique for extracting the intima–media layer of the common carotid artery (CCA) ultrasound images employing semiautomatic region of interest identification and speckle reduction techniques is presented in this paper. An attempt has been made to test the ultrasound images of the carotid artery of different subjects with this contour segmentation based on improved dynamic programming method. It is found that the preprocessing of ultrasound images of the CCA with region identification and despeckleing followed by active contour segmentation algorithm can be successfully used in evaluating the intima–media thickness (IMT) of the normal and abnormal subjects. It is also estimated that the segmentation used in this paper results an intermethod error of 0.09 mm and a coefficient of variation of 18.9%, for the despeckled images. The magnitudes of the IMT values have been used to explore the rate of prediction of blockage existing in the cerebrovascular and cardiovascular pathologies and also hypertension and atherosclerosis.
References
Abolmaesumi P, Sirouspour M.R, Salcudean S.E (2000) Real-time extraction of carotid artery contours from ultrasound images. Comput Based Med Syst 181–186
Baldassarre D, Amato M, Bondioli A (2000) Carotid artery intima- media thickness measured by ultrasonography in normal clinical practice correlates well with atherosclerosis risk factors. Stroke 31:2426–2430
Bots ML, Hoes AW, Koudstaal PJ, Hofman A, Grobbee DE (1997) Common carotid intima—media thickness and risk of stroke and myocardial infarction: the Rotterdam Study. Circulation 96:1432–1437
Bottalico MA, Starita A (2000) EcoStudio: a computer tool to support carotid ultrasound images analysis. IEEE Eng Med Biol 4:2428–2430
Ceccarelli M, Luca N. De, Morganella A (2006) An active contour approach to automatic detection of the intima-media thickness. In: Proceedings of international conference acoustics, speech and signal processing, vol 2. pp 709–712
Chalana V, Kim Y (1997) A methodology for evaluation of boundary detection algorithms on medical images. IEEE Trans Med Imaging 16(5):642–652
Chan RC, Khaufhold J, Hemphill LC, Lees RS, Karl WC (2000) Anisotropic edge-preserving smoothing in carotid B-mode ultrasound for improved segmentation and intima-media thickness (IMT) measurement. Comput Cardiol 27:37–40
Chen Y, Medioni G (1995) Description of complex objects from multiple range images. IEEE Comput Vision Imag Underst 61(3):325–334
Cheng D, Schmidt-Trucksass A, Cheng K, Burkhardt H (2002) Using snakes to detect the intimal and adventitial layers of the common carotid artery wall in sonographic images. Comput Methods Programs Biomed 67:27–37
Cinthio M, Jansson T, Eriksson A, Ahlgren AR, Persson HW, Lindström K (2010) Evaluation of an algorithm for arterial lumen diameter measurements by means of ultrasound. Med Biol Eng Comput 48(11):1133–40. PMID: 20635222
Cupini LM, Pasqualetti P, Diomedi M (2002) Carotid artery intima-media thickness and lacunar versus nonlacunar infarcts. Stroke 33:689–694
Dh LO, Polak JF, RA Kronmal (1999) Carotid-artery intima and media thickness as a risk factor for myocardial infarction and stroke in older adults. N Engl J Med 340:14–22
Dutt V (1996) Adaptive speckle reduction filter for log compressed B-scan images. IEEE Trans Med Imaging 15(6):802–813
Ebrahim S, Papacosta O, Whincup P (1999) Carotid plaque, intima media thickness, cardiovascular risk factors and prevalent cardiovascular disease in men and women: the British regional heart study. Stroke 30:841–850
Gill JD, Ladak HM, Steinman DA, Fenster A (2000) accuracy and variability assessment of semi-automatic technique for segmentation of the carotid arteries from 3D ultrasound images. Med Phys 27(6):1333–1342
Grobbee DE, Bots ML (1994) Carotid artery intima-media thickness as an indicator of generalized atherosclerosis. J Int Med 236:567–573
Gustavsson T, Abu-Gharbieh R, Hamameh G, Liang Q (1997) Implementation and comparison of four different boundary detection algorithms for quantitative ultrasonic measurements of the human carotid artery. IEEE Comput Cardiol 24:69–72
Haddon JF, Boyce JF (1990) Image segmentation by unifying region and boundary information. IEEE Trans Pattern Anal Mach Intell 12(10):929–948
Herrington D, Santago P, Joinson T (1991) Image processing and display of 3D intra-coronary ultrasound images. Comput Cardiol 349–352
Jegelevičius D, Lukoševičius A (2002) Ultrasonic measurements of human carotid artery wall intima-media thickness. Ultragarsas 43–47
Jin D, Wang Y (2007) Doppler ultrasound wall removal based on the spatial correlation of wavelet coefficients. Med Biol Eng Comput. 45(11):1105–11. PMID: 17684782
Krissian K (2004) Anisotropic diffusion of ultrasound constrained by speckle noise model. Technical report. Harvard Medical school
Krissian K, Vosburgh K, Kikinis R, Carl-Fredrik Westin (2004) Anisotropic diffusion of ultrasound constrained by speckle noise model. Lab. Math Imaging 1–10
Lamont D, Parker L, White M, Unwin N (2000) Risk of cardiovascular disease measured by carotid intima-media thickness at age 49–51: life course study. BMJ 320:273–278
Liang Q, Wendelhag I, Wikstrand J, Gustavsson T (2000) A multiscale dynamic programming procedure for boundary detection in ultrasonic artery images. IEEE Trans Med Imaging 19:127–142
Liguori C, Paolillo A, Pietrosanto A (2001) An automatic measurement system for the evaluation of carotid intima-media thickness. IEEE Trans Instrum Meas 50(6):1684–1691
Liguori C, Paolillo A, Pietrosant A (2001) An automatic measurement system for the evaluation of carotid intima-media thickness. IEEE Trans Instrum Meas 50:1684–1691
Loizou CP, Pattichis CS, Pantziaris M, Tyllis T, Nicolaides A (2007) Snakes based segmentation of the common carotid artery intima media. Med Biolo Eng Comput 45(1):35–49
Mao F, Gill J, Downey D, Fenster A (2000) Segmentation of carotid artery in ultrasound images: method development and evaluation technique. Med Phys 27(8):1961–1970
Molinari F, Rajendra Acharya U, Zeng G, Meiburger KM, Suri JS (2011) Completely automated robust edge snapper for carotid ultrasound IMT measurement on a multi-institutional database of 300 images. Med Biol Eng Comput 2011 Apr 21. [Epub ahead of print] PMID: 21509593
Santhiyakumari. N, Rajendran. P, Madheswaran M (2010) Medical decision-making system of ultrasound carotid artery intima–media thickness using neural networks. J Digit Imaging. doi:10.1007/s10278-010-9356-8. Published Online First™, 23 December 2010
Pignoli P, Tremoli E, Poli A, Paoletti A (1986) Intimal plus medial thickness of the arterial wall: a direct measurement with ultrasound imaging. Circulation 74:1399–1406
Polat K, Latifoglu F, Kara S, Günes S (2008) Usage of a novel, similarity-based weighting method to diagnose atherosclerosis from carotid artery Doppler signals. Med Biol Eng Comput 46(4):353–362
Sahoo PK, Soltani S, Wong KC, Chen YC (1988) A survey of thresholding techniques. Comput Vision, Graphics, and Image Process 41:233–260
Salonen JT, Salonen R (1993) Ultrasound B-mode imaging in observational studies of atherosclerotic progression. Circulation 87(II):1156–1165
Santhiyakumari N, Madheswaran M (2006) Estimation of layer thickness of arterio carotis using dynamic programming procedure. In: Proceedings of 3rd cairo international biomedical engineering conference. IP2, vol 4. pp 1–4
Santhiyakumari N, Madheswaran M (2008) Non-Invasive evaluation of carotid artery wall thickness using Improved dynamic programming technique. Signal, Image and Video Process J (Springer) 2:183–193
Santhiyakumari N, Madheswran M (2007) Extraction of intima- media layer of arteria- carotis and evaluation of its thickness using active contour approach. In: Proceedings of international conference on intelligent and advanced systems. IP_MS1 582-586
Santhiyakumari N, Madheswran M (2009) Analysis of atherosclerosis for identification of cerebrovascular and cardiovascular diseases using active contour segmentation of carotid artery. Int J Bio Med Eng Consumer Health Inform 1(2):121–125
SAR Hernandez, Kroon AA, MPJ Van Boxtel (2003) Is there a side predilection for cerebrovascular disease? Hypertension 42:56–60
Seçil M, Altay C, Gülcü A, Çeçe H, Göktay AY, Dicle O (2005) Automated measurement of intima-media thickness of carotid arteries in ultrasonography by computer software. Diagn Interv Radiol 11:105–108
Veller MG, Fisher CM, Nicolaides AN (1993) Measurement of the ultrasonic intima-media complex thickness in normal subjects. J Vasc Surg 17(7):19–25
Wendelhag I, Liang Q, Gustavsson T, Wikstrand J (1997) A new automated computerized analysing system simplifies reading and reduces the variability in ultrasound measurement of intima media thickness. Stroke 28:2195–2200
Wilhjelm JE, Gronholdt ML, Wiebe B, Jespersen SK, Hansen LK, Sillesen H (1998) Quantitative analysis of ultrasound B-mode images of carotid atherosclerotic plaque: correlation with visual classification and histological examination. IEEE Trans Med Imaging 17(6):910–922
Xiaohui H, Bruce C, Pislaru C, Greenleaf JF (2000) A novel region growing method for segmenting ultrasound images. IEEE Ultrason Symp 2:1717–1720
Xu C, Prince JL (1998) Snakes, shapes and gradient vector flow. IEEE Trans Image Process 7(3):359–369
Yu Y, Acton ST (2002) Speckle reducing anisotropic diffusion. IEEE Trans Image Process 11(11):1260–1270
Zhang YJ (1996) A survey on evaluation methods for image segmentation. Pattern Recognit 29:1335–1346
Acknowledgments
The authors would like to express their gratitude to the Management and Ms.Chandra Ganesh, Sonographer, Mediscan systems, Chennai for providing the necessary images for this study.
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Santhiyakumari, N., Rajendran, P., Madheswaran, M. et al. Detection of the intima and media layer thickness of ultrasound common carotid artery image using efficient active contour segmentation technique. Med Biol Eng Comput 49, 1299–1310 (2011). https://doi.org/10.1007/s11517-011-0800-9
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DOI: https://doi.org/10.1007/s11517-011-0800-9