An automated model for rapid and reliable segmentation of intravascular ultrasound images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4345 LNBI, Issue , 2006, Pages 368-377

  Parissi, Eirini ^a   Kompatsiaris, Yiannis ^a   Chatzizisis, Yiannis S ^b   Koutkias, Vassilis ^b   Maglaveras, Nicos ^b   Strintzis, M G ^a   Giannoglou, George D ^b  

^a INFORMATION TECHNOLOGIES INSTITUTE   (Greece)

^b ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

Author keywords

Active contours; Image segmentation; Intravascular ultrasound (IVUS); Snakes

Indexed keywords

AUTOMATION; CARDIOVASCULAR SURGERY; CONTOUR MEASUREMENT; IMAGE SEGMENTATION; MATHEMATICAL MODELS; USER INTERFACES;

CORONARY PLAQUES; INTRAVASCULAR ULTRASOUND (IVUS) IMAGES; LUMEN; MORPHOMETRIC ANALYSES;

ULTRASONIC IMAGING;

EID: 34547401650     PISSN: 03029743     EISSN: 16113349     Source Type: Conference Proceeding    
DOI: 10.1007/11946465_33     Document Type: Conference Paper

References (14)

1. Mintz, G.S., Nissen, S.E., Anderson, W.D. et al.: American College of Cardiology clinical expert consensus document on standards for acquisition, measurement and reporting of intravascular ultrasound studies (IVUS). A report of the American College of Cardiology Task Force on clinical expert consensus documents. J. Am. Coll. Cardiol. 37 (2001) 1478-1492
2. Schoenhagen, P., Nissen, S.: Understanding coronary artery disease: tomographic imaging with intravascular ultrasound. Heart 88 (2002) 91-96
3. von Birgelen, C., de Very, E.A., Mintz, G.S., et al.: ECG-gated three-dimensional intravascular ultrasound: feasibility and reproducibility of the automated analysis of coronary lumen and atherosclerotic plaque dimensions in humans. Circulation 96 (1997) 2944-2952
4. Kirbas, C., Quek, F.: A review of vessel extraction techniques and algorithms. ACM Computing Surveys 36 (2004) 81-121
5. Giannoglou, G.D., Chatzizisis, Y.S., Sianos, G., Tsikaderis, D., Matakos, A., Koutkias, V., Diamantopoulos, P., Maglaveras, N., Parcharidis, G.E., Louridas, G.E.: In-vivo validation of spatially correct three-dimensional reconstruction of human coronary arteries by integrating intravascular ultrasound and biplane angiography. Coron. Artery Dis. 17 (2006) 533-543
6. Kass, M., Witkin, A., Terzopoulos, D.: Snakes: Active contour models. Int. J. Comp. Vision 1 (1987) 321-331
7. Millman, R.S., Parker, G.D.: Elements of differential geometry. Prentice Hall, New Jersey, USA (1997)
8. Kompatsiaris, I., Tzovaras, D., Koutkias, V., Strintzis, M.G.: Deformable boundary detection of stents in angiographic images. IEEE Trans Med Imaging 19 (2000) 652-662
9. Intel Corporation. Open Source Computer Vision Library Reference Manual. December 8, 2000. Available at: http://sourceforge.net/projects/opencvlibrary
10. Pratt, W.K.: Digital image processing; PIKS inside. J Wiley and Sons (2001)
11. Klingensmith, J.D., Schoenhagen, P., Tajaddini, A. et al.: Automated three-dimensional assessment of coronary artery anatomy with intravascular ultrasound scanning. Am. Heart J. 145 (2003) 795-805
12. Stone, P.H., Coskun, A.U., Kinlay, S. et al.: Effect of endothelial shear stress on the progression of coronary artery disease, vascular remodeling and in-stent restenosis in humans. Circulation 108 (2003) 438-444
13. Slager, C.J., Wentzel, J.J., Schuurbiers, J.C.H. et al.: True 3-dimensional reconstruction of coronary arteries in patients by fusion of angiography and IVUS (ANGUS) and its quantitative validation. Circulation 102 (2000) 511-516
14. Krams, R., Wentzel, J.J., Oomen, J.A. et al.: Evaluation of endothelial shear stress and 3D geometry as factors determining the development of atherosclerosis and remodeling in human coronary arteries in vivo. Combining 3D reconstruction from angiography and IVUS (ANGUS) with computational fluid dynamics. Arterioscler. Thromb. Vase. Biol. 17 (1997) 2061-2065