Ultrasound common carotid artery segmentation based on active shape model

Computational and Mathematical Methods in Medicine

Volumn 2013, Issue , 2013, Pages

  Yang, Xin ^a   Jin, Jiaoying ^a   Xu, Mengling ^a   Wu, Huihui ^a   He, Wanji ^b   Yuchi, Ming ^a   Ding, Mingyue ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER AIDED DIAGNOSIS; DISEASES; PATIENT TREATMENT; ULTRASONICS;

ACTIVE SHAPE MODELS; COMMON CAROTID ARTERY; DISEASE PROGRESSION; MANUAL SEGMENTATION; MEAN ABSOLUTE DISTANCE; SEGMENTATION METHODS; SIMILARITY COEFFICIENTS; THREE-DIMENSIONAL ULTRASOUND;

IMAGE SEGMENTATION;

ATORVASTATIN; PLACEBO; HEPTANOIC ACID DERIVATIVE; PYRROLE DERIVATIVE;

ADULT; AGED; ALGORITHM; ARTICLE; BLOOD VESSEL WALL; CARDIOVASCULAR PARAMETERS; CAROTID ARTERIOGRAPHY; CAROTID ARTERY OBSTRUCTION; CAROTID ATHEROSCLEROSIS; COMMON CAROTID ARTERY; CONTROLLED STUDY; DISEASE COURSE; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; THREE DIMENSIONAL ECHOCARDIOGRAPHY; ULTRASOUND; ADVENTITIA; AUDIOVISUAL EQUIPMENT; AUTOMATED PATTERN RECOGNITION; CAROTID ARTERY DISEASE; COMPUTER PROGRAM; COMPUTER SIMULATION; ECHOGRAPHY; IMAGE PROCESSING; INTIMA; METHODOLOGY; MIDDLE AGED; PATHOLOGY; THREE DIMENSIONAL IMAGING; TUNICA MEDIA; VALIDATION STUDY;

ADVENTITIA; AGED; ALGORITHMS; CAROTID ARTERY DISEASES; CAROTID ARTERY, COMMON; COMPUTER SIMULATION; DISEASE PROGRESSION; FEMALE; HEPTANOIC ACIDS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MALE; MIDDLE AGED; MODELS, ANATOMIC; PATTERN RECOGNITION, AUTOMATED; PLACEBOS; PYRROLES; SOFTWARE; TUNICA INTIMA; TUNICA MEDIA; ULTRASONOGRAPHY;

EID: 84875497705     PISSN: 1748670X     EISSN: 17486718     Source Type: Journal    
DOI: 10.1155/2013/345968     Document Type: Article

References (58)

1. Groeneveld I. F., Proper K. I., van der Beek A. J., van Mechelen W., Sustained body weight reduction by an individual-based lifestyle intervention for workers in the construction industry at risk for cardiovascular disease: results of a randomized controlled trial. Preventive Medicine 2010 51 3-4 240 246 2-s2.0-79959368177 10.1016/j.ypmed.2010.07.021
2. Warlow C., MRC European Carotid Surgery Trial: interim results for symptomatic patients with severe (70-99%) or with mild (0-29%) carotid stenosis. The Lancet 1991 337 8752 1235 1243 10.1016/0140-6736(91)92916-P
3. Fenster A., Parraga G., Landry A., Chiu B., Egger M., Spence J. D., 3DUS imaging of the carotid arteries. Advances in Diagnostic and Therapeutic Ultrasound Imaging 2008 1st Artech House 67 92
4. Lusis A. J., Atherosclerosis. Nature 2000 407 6801 233 241 2-s2.0-0034648768 10.1038/35025203
5. Wells P. N. T., Current status and future technical advances of ultrasonic imaging. IEEE Engineering in Medicine and Biology Magazine 2000 19 5 14 20 2-s2.0-0034281981 10.1109/51.870227
6. Ainsworth C. D., Blake C. C., Tamayo A., Beletsky V., Fenster A., Spence J. D., 3D ultrasound measurement of change in carotid plaque volume: a tool for rapid evaluation of new therapies. Stroke 2005 36 9 1904 1909 2-s2.0-24644493282 10.1161/01.STR.0000178543.19433.20 (Pubitemid 41266524)
7. Hatsukami T. S., Thackray B. D., Primozich J. F., Ferguson M. S., Burns D. H., Beach K. W., Detmer P. R., Alpers C., Gordon D., Eugene Strandness Jr., Echolucent regions in carotid plaque: preliminary analysis comparing three-dimensional histologic reconstructions to sonographic findings. Ultrasound in Medicine and Biology 1994 20 8 743 749 2-s2.0-0028033199 10.1016/0301-5629(94)90031-0 (Pubitemid 24370182)
8. Schminke U., Motsch L., Griewing B., Gaull M., Kessler C., Three-dimensional power-mode ultrasound for quantification of the progression of carotid artery atherosclerosis. Journal of Neurology 2000 247 2 106 111 2-s2.0-0034104995 (Pubitemid 30162524)
9. Steinke W., Hennerici M., Three-dimensional ultrasound imaging of carotid artery plaques. Journal of Cardiovascular Technology 1989 8 1 15 22 2-s2.0-0024362304 (Pubitemid 19162038)
10. Troyer A., Saloner D., Pan X. M., Velez P., Rapp J. H., Major carotid plaque surface irregularities correlate with neurologic symptoms. Journal of Vascular Surgery 2002 35 4 741 747 2-s2.0-0036548152 10.1067/mva.2002.121210
11. Destrempes F., Meunier J., Giroux M. F., Soulez G., Cloutier G., Segmentation in ultrasonic B-mode images of carotid arteries using mixture of Nakagami distributions and stochastic optimization. IEEE Transactions on Medical Imaging 2009 28 215 229 10.1109/TMI.2008.929098
12. Liang Q., Wendelhag I., Wikstrand J., Gustavsson T., A multiscale dynamic programming procedure for boundary detection in ultrasonic artery images. IEEE Transactions on Medical Imaging 2000 19 2 127 142 2-s2.0-0033624995 (Pubitemid 30594808)
13. Loizou C. P., Pattichis C. S., Pantziaris M., Tyllis T., Nicolaides A., Snakes based segmentation of the common carotid artery intima media. Medical and Biological Engineering and Computing 2007 45 1 35 49 2-s2.0-33846418345 10.1007/s11517-006-0140-3 (Pubitemid 46140280)
14. Molinari F., Meiburger K. M., Zeng G., Nicolaides A., Suri J. S., CAUDLES-EF: carotid automated ultrasound double line extraction system using edge flow. Journal of Digital Imaging 2012 24 6 1059 1077 10.1007/s10278-011- 9375-0
15. Rocha R., Campilho A., Silva J., Azevedo E., Santos R., Segmentation of ultrasound images of the carotid using RANSAC and cubic splines. Computer Methods and Programs in Biomedicine 2011 101 1 94 106 2-s2.0-78650679026 10.1016/j.cmpb.2010.04.015
16. Bots M. L., Hoes A. W., Koudstaal P. J., Hofman A., Grobbee D. E., Common carotid intima-media thickness and risk of stroke and myocardial infarction: the Rotterdam Study. Circulation 1997 96 5 1432 1437 2-s2.0-0030826182 (Pubitemid 27375333)
17. Spence J. D., Technology insight: ultrasound measurement of carotid plaque-patient management, genetic research, and therapy evaluation. Nature Clinical Practice Neurology 2006 2 11 611 619 2-s2.0-33750352063 10.1038/ncpneuro0324 (Pubitemid 44614087)
18. Egger M., Spence J. D., Fenster A., Parraga G., Validation of 3D ultrasound vessel wall volume: an imaging phenotype of carotid atherosclerosis. Ultrasound in Medicine and Biology 2007 33 6 905 914 2-s2.0-34249278783 10.1016/j.ultrasmedbio.2007.01.013 (Pubitemid 46809785)
19. Krasinski A., Chiu B., Spence J. D., Fenster A., Parraga G., Three-dimensional ultrasound quantification of intensive statin treatment of carotid atherosclerosis. Ultrasound in Medicine and Biology 2009 35 11 1763 1772 2-s2.0-74249113221 10.1016/j.ultrasmedbio.2009.05.017
20. Mao F., Gill J., Downey D., Fenster A., Segmentation of carotid artery in ultrasound images: method development and evaluation technique. Medical Physics 2000 27 8 1961 1970 2-s2.0-0033862587 10.1118/1.1287111 (Pubitemid 30666371)
21. Abolmaesumi P., Sirouspour M., Salcudean S., Real-time extraction of carotid artery contours from ultrasound images. Proceedings of the 13th IEEE Sympoisum on Computer-Based Medical Systems (CBMS '00) June 2000 181 186 2-s2.0-0033684218
22. Zahalka A., Fenster A., An automated segmentation method for three-dimensional carotid ultrasound images. Physics in Medicine and Biology 2001 46 4 1321 1342 2-s2.0-0035063579 10.1088/0031-9155/46/4/327 (Pubitemid 32366620)
23. Li X., Wang Z., Lu H., Liang Z., Automated segmentation method for the 3D ultrasound carotid image based on geometrically deformable model with automatic merge function. 4684 Medical Imaging 2002 1458 1463 Proceedings of the SPIE 10.1117/12.467111
24. Balasundaram J. K., Banu R. S. D. W., A non-invasive study of alterations of the carotid artery with age using ultrasound images. Medical and Biological Engineering and Computing 2006 44 9 767 772 2-s2.0-33748481113 10.1007/s11517-006-0085-6 (Pubitemid 44355761)
25. Lou L., Ding M., Principle and approach of boundary extraction based on particle motion in quantum mechanics. Optical Engineering 2007 46 2 2-s2.0-34347375513 10.1117/1.2541231 027005 (Pubitemid 47023265)
26. Cardinal M. R., Soulez G., Tardif J., Meunier J., Cloutier G., Fast-marching segmentation of three-dimensional intravascular ultrasound images: a pre- and post-intervention study. Medical Physics 2010 37 7 3633 3647 2-s2.0-77954710181 10.1118/1.3438476
27. Yang X., Ding M., Lou L., Yuchi M., Qiu W., Sun Y., Common carotid artery lumen segmentation in b-mode ultrasound transverse view images. International Journal of Image, Graphics and Signal Processing 2011 3 5 15 21 10.5815/ijigsp.2011.05.03
28. Ukwatta E., Awad J., Ward A. D., Buchanan D., Samarabandu J., Parraga G., Fenster A., Three-dimensional ultrasound of carotid atherosclerosis: semiautomated segmentation using a level set-based method. Medical Physics 2011 38 5 2479 2493 2-s2.0-79959565149 10.1118/1.3574887
29. Abdel-Dayem A., El-Sakka M., Kamel M., Campilho A., Carotid artery ultrasound image segmentation using Fuzzy region growing. Image Analysis and Recognition 2005 3656 Berlin, Germany Springer 869 878
30. Abdel-Dayem A., El-Sakka M., Kamel M., Campilho A., Diffusion-based detection of carotid artery lumen from ultrasound images. Image Analysis and Recognition 2009 5627 Berlin, Germany Springer 782 791
31. Hamou A. K., El-Sakka M. R., A novel segmentation technique for carotid ultrasound images. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'04) May 2004 III521 III524 2-s2.0-4544220683
32. Golemati S., Stoitsis J., Sifakis E. G., Balkizas T., Nikita K. S., Using the Hough transform to segment ultrasound images of longitudinal and transverse sections of the carotid artery. Ultrasound in Medicine and Biology 2007 33 12 1918 1932 2-s2.0-36849025927 10.1016/j.ultrasmedbio.2007.05.021 (Pubitemid 350236527)
33. Schwartz C., Valente A., Sprague E. A., Kelley J., Nerem R., The pathogenesis of atherosclerosis: an overview. Clinical Cardiology 1991 14 2 1 16 2-s2.0-0026026486
34. Finn A. V., Nakano M., Narula J., Kolodgie F. D., Virmani R., Concept of vulnerable/unstable plaque. Arteriosclerosis, Thrombosis, and Vascular Biology 2010 30 7 1282 1292 2-s2.0-77953952667 10.1161/ATVBAHA.108.179739
35. Layland J., Wilson A., Lim I., Whitbourn R., Virtual histology: a window to the heart of atherosclerosis. Heart Lung and Circulation 2011 20 10 615 621 2-s2.0-80052962060 10.1016/j.hlc.2010.12.002
36. Tavora F., Cresswell N., Li L., Fowler D., Burke A., Frequency of acute plaque ruptures and thin cap atheromas at sites of maximal stenosis. Arquivos Brasileiros de Cardiologia 2010 94 2 143 159 2-s2.0-77951999597
37. Graf I. M., Su J., Yeager D., Amirian J., Smalling R., Emelianov S., Methodical study on plaque characterization using integrated vascular ultrasound, strain and spectroscopic photoacoustic imaging. 7899 Photons Plus Ultrasound: Imaging and Sensing San Francisco, Calif, USA Proceedings of the SPIE 10.1117/12.875689
38. Parraga G., House A. A., Krasinski A., Spence J. D., Fenster A., Volumetric evaluation of carotid atherosclerosis using 3-dimensional ultrasonic imaging. Ultrasound and Carotid Bifurcation Atherosclerosis 2012 1st New York, NY, USA Springer 263 277
39. Buchanan D. N., Lindenmaier T., McKay S., Bureau Y., Hackam D. G., Fenster A., Parraga G., The relationship of carotid three-dimensional ultrasound vessel wall volume with age and sex: comparison to carotid intima-media thickness. Ultrasound in Medicine & Biology 2012 38 7 1145 1153 10.1016/j.ultrasmedbio.2012.02.013
40. Awad J., Krasinski A., Parraga G., Fenster A., Texture analysis of carotid artery atherosclerosis from three-dimensional ultrasound images. Medical Physics 2010 37 4 1382 1391 2-s2.0-77950573887 10.1118/1.3301592
41. Fenster A., Downey D. B., Cardinal H. N., Three-dimensional ultrasound imaging. Physics in Medicine and Biology 2001 46 5 R67 R99 2-s2.0-0035005966 10.1088/0031-9155/46/5/201 (Pubitemid 32440189)
42. Chiu B., Egger M., Spence J. D., Parraga G., Fenster A., Quantification of carotid vessel wall and plaque thickness change using 3D ultrasound images. Medical Physics 2008 35 8 3691 3700 2-s2.0-48349094600 10.1118/1.2955550
43. Pizer S. M., Amburn E. P., Austin J. D., Cromartie R., Geselowitz A., Greer T., ter Haar Romeny B., Zimmerman J. B., Zuiderveld K., Adaptive histogram equalization and its variations. Computer Vision, Graphics, and Image Processing 1987 39 3 355 368 2-s2.0-0023421339 (Pubitemid 17655926)
44. Ukwatta E., Awad J., Ward A., Samarabandu J., Krasinski A., Parraga G., Fenster A., Segmentation of the lumen and media-adventitia boundaries of the common carotid artery from 3D ultrasound images. 7963 Medical Imaging: Computer-Aided Diagnosis February 2011 Lake Buena Vista, Fla, USA Proceedings of the SPIE 2-s2.0-79955754248 10.1117/12.877722
45. Yu Y., Acton S. T., Speckle reducing anisotropic diffusion. IEEE Transactions on Image Processing 2002 11 11 1260 1270 2-s2.0-0036870577 10.1109/TIP.2002.804276
46. Cootes T. F., Taylor C. J., Cooper D. H., Graham J., Active shape models-their training and application. Computer Vision and Image Understanding 1995 61 38 59 10.1006/cviu.1995.1004
47. Cootes T. F., Taylor C. J., Statistical models of appearance for computer vision. World Wide Web Publication 2001
48. Cootes T. F., Edwards G., Taylor C. J., Comparing active shape models with active appearance models. Proceedings of the British Machine Vision Conference 1999 173 183
49. Mehta N. N., Azfar R. S., Shin D. B., Neimann A. L., Troxel A. B., Gelfand J. M., Patients with severe psoriasis are at increased risk of cardiovascular mortality: cohort study using the general practice research database. European Heart Journal 2010 31 8 1000 1006 2-s2.0-77951099590 10.1093/eurheartj/ehp567
50. Giles J. T., Szklo M., Post W., Petri M., Blumenthal R. S., Lam G., Gelber A. C., Detrano R., Scott W. W. Jr., Kronmal R. A., Bathon J. M., Coronary arterial calcification in rheumatoid arthritis: comparison with the Multi-Ethnic Study of Atherosclerosis. Arthritis Research and Therapy 2009 11 2, article R36 2-s2.0-63849105627 10.1186/ar2641
51. Kobayashi H., Giles J. T., Polak J. F., Blumenthal R. S., Leffell M. S., Szklo M., Petri M., Gelber A. C., Post W., Bathon J. M., Increased prevalence of carotid artery atherosclerosis in rheumatoid arthritis is artery-specific. Journal of Rheumatology 2010 37 4 730 739 2-s2.0-77950678081 10.3899/jrheum.090670
52. Nicholls S. J., Lundman P., Nicholls S., Worthley S., Monitoring regression and progression of atherosclerosis. Cardiovascular Imaging for Clinical Practice 2010 1st Jones & Bartlett Learning 237 373
53. Shai I., Spence J. D., Schwarzfuchs D., Henkin Y., Parraga G., Rudich A., Fenster A., Mallett C., Liel-Cohen N., Tirosh A., Bolotin A., Thiery J., Fiedler G. M., Blüher M., Stumvoll M., Stampfer M. J., Dietary intervention to reverse carotid atherosclerosis. Circulation 2010 121 10 1200 1208 2-s2.0-77950515150 10.1161/CIRCULATIONAHA.109.879254
54. Yang X., Wang R., Li L., Fenster A., Ding M., Classification of atorvastatin effect based on shape and texture features in ultrasound images. 8669 Medical Imaging February 2013 Lake Buena Vista, Fla, USA Proceedings of the SPIE
55. Schulz U. G. R., Rothwell P. M., Major variation in carotid bifurcation anatomy: a possible risk factor for plaque development? Stroke 2001 32 11 2522 2529 2-s2.0-0035164324 (Pubitemid 33055300)
56. Chalana V., Kim Y., A methodology for evaluation of boundary detection algorithms on medical images. IEEE Transactions on Medical Imaging 1997 16 5 642 652 2-s2.0-0031240184 (Pubitemid 127767643)
57. Van Ginneken B., Frangi A. F., Staal J. J., Romeny B. M., Viergever M. A., Active shape model segmentation with optimal features. IEEE Transactions on Medical Imaging 2002 21 924 933 10.1109/TMI.2002.803121 (Pubitemid 35476596)
58. Schulz U. G. R., Rothwell P. M., Association between arterial bifurcation anatomy and angiographic plaque ulceration among 4,627 carotid stenoses. Cerebrovascular Diseases 2003 15 4 244 251 2-s2.0-0037265506 10.1159/000069491 (Pubitemid 36438727)