Boundary detection in carotid ultrasound images using dynamic programming and a directional Haar-like filter

Computers in Biology and Medicine

Volumn 40, Issue 8, 2010, Pages 687-697

  Lee, Yu Bu ^a   Choi, Yoo Joo ^b   Kim, Myoung Hee ^c  

^a Sungkyunkwan University   (South Korea)

^b Seoul Media Institute of Technology   (South Korea)

^c Ewha Womans University   (South Korea)

Author keywords

Boundary detection; Directional Haar like filter; Dynamic programming; Image feature; Intima media thickness

Indexed keywords

B-MODE ULTRASOUND IMAGES; BOUNDARY DETECTION; CARDIOVASCULAR EVENT; CAROTID ARTERY; COMPUTERIZED METHODS; FILTER EXTRACTS; GEOMETRIC CONTINUITY; IMAGE FEATURES; INTIMA-MEDIA THICKNESS; MANUAL METHODS; MANUAL TRACING; OPTIMAL BOUNDARY; REGION OF INTEREST; STATISTICALLY SIGNIFICANT DIFFERENCE; TISSUE LAYERS; ULTRASOUND IMAGES;

COST FUNCTIONS; IMAGE SEGMENTATION; PIXELS; ULTRASONIC APPLICATIONS; ULTRASONICS;

DYNAMIC PROGRAMMING;

ARTICLE; CAROTID ULTRASOUND; COMPUTER PROGRAM; IMAGE ANALYSIS; IMAGE QUALITY; PRIORITY JOURNAL; RADIOLOGIST; ULTRASOUND;

ALGORITHMS; CAROTID ARTERIES; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; TUNICA INTIMA; ULTRASONOGRAPHY;

EID: 77955581583     PISSN: 00104825     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2010.03.010     Document Type: Article

References (15)

1. Hodis H.N., Mack W.J. The role of carotid artery intima-media thickness in predicating clinical coronary events. Annals of Internal Medicine 1998, 128(4):262-269.
2. Bots M.L., Grobbee D.E., Hofman A., Witteman J.C.M. Common carotid intima-media thickness and risk of acute myocardial infarction: the role of lumen diameter. Stroke 2005, 36(4):762-767.
3. O'Leary D.H., Polak J.F., Kronmal R.A., Manolio T.A., Burke G.L., Wolfson S.K. Carotid-artery intima and media thickness as a risk factor for myocardial infarction and stroke in older adults. The New England Journal of Medicine 1999, 340:14-22.
4. Riley W.A. Carotid intima-media thickness: risk assessment and scanning protocol. European Heart Journal 2000, 23(12):916-918.
5. Selzer R.H., Hodis H.N., Kwong-Fu H., Mack W.J., Lee P.L., Liu C.R., Liu C.H. Evaluation of computerised edge tracking for quantifying intima-media thickness of the common carotid artery from B-mode ultrasound images. Atherosclerosis 1994, 111:1-11.
6. Gustavsson T., Liang Q., Wendelhag I., Wilkstrand J. A dynamic programming procedure for automated ultrasonic measurement of the carotid artery. IEEE Computers in Cardiology 1994, 21:297-300.
7. Wendelhag I., Liang Q., Gustavson T., Wilkstrand J. A new automated computerized analyzing system simplifies readings and reduces the variability in ultrasound measurement of intima-media thickness. Stroke 1997, 28(11):2195-2200.
8. Liang Q., Wendelhag I., Wilkstrand 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.
9. Cheng D.C., Schmidt-Trucksaess A., Cheng K.S., Burkhardt H. Using snakes to detect the intimal and adventitial layers of the common carotid artery wall in sonographic images. Computer Methods and Programs in Biomedicine 2002, 67(1):27-37.
10. Cohen L.D. On active contour models and balloons. Computer Vision, Graphics, and Image Processing: Image Understanding 1991, 53(2):211-218.
11. D.C. Cheng, X. Jiang, Using dual dynamic programming for artery's inner wall detection in sonographic images, in: Proceedings of the First International Workshop on Computer Vision for Intravascular and Intracardiac Imaging, 2006, pp. 138-145.
12. Loizou C.P., Pattichis C.S., Pantziaris M., Tyllis T., Nicolaides A. Snakes based segmentation of the common carotid artery intima media. Medical & Biological Engineering & Computing 2007, 45(1):35-49.
13. Amini A.A., Weymouth T.E., Jain R.C. Using dynamic programming for solving variational problems in vision. IEEE Transactions on Pattern Analysis and Machine Intelligence 1990, 12(9):855-867.
14. P. Viola, M. Jones, Rapid object detection using a boosted cascade of simple features, in: Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition, 2001, pp. 511-518.
15. Press W.H., Teukolsky S.A., Vetterling W.T., Flannery B.P. Numerical Recipes in C++: The Art of Scientific Computing 2002, Cambridge University Press, New York. second edition.