Blood detection in IVUS images for 3D volume of lumen changes measurement due to different drugs administration

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

Volumn 4673 LNCS, Issue , 2007, Pages 285-292

  Rotger, David ^a   Radeva, Petia ^a   Fernández Nofrerías, Eduard ^b   Mauri, Josepa ^b  

^a UNIVERSITAT AUTÒNOMA DE BARCELONA   (Spain)

^b HOSPITAL UNIVERSITARI GERMANS TRIAS I PUJOL   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

BLOOD; DRUG DELIVERY; EDGE DETECTION; FEATURE EXTRACTION; ULTRASONICS;

BLOOD DETECTION; DRUGS ADMINISTRATION; IVUS IMAGES; LUMEN BORDERS;

MEDICAL IMAGING;

EID: 38149064491     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74272-2_36     Document Type: Conference Paper

References (18)

1. Sonka, M., Zhang, X., S.e.a, M.: Segmentation of intravascular ultrasound images: A knowledge based approach. IEEE Trans. on Medical Imaging 14, 719-732 (1995)
2. Malik, J., Belongie, S., Shi, T.L.: Contour and texture analysis for image segmentation. International Journal of Computer Vision 43, 7-27 (2001)
3. Puzicha, J., Buhmann, T.H.: Unsupervised texture segmentation in a deterministic anhealing framework. IEEE Trans. on Pattern Recognition and Machine Intelligence 20, 803-818 (1998)
4. Zhang, X., Sonka, C.M.: Tissue characterization in intravascular ultrasound images. IEEE Trans. on Medical Imaging 17, 889-899 (1998)
5. von Birgelen, C., van der Lugt, A., A.N., et al.: Computerized assessment of coronary lumen and atherosclerotic plaque dimensions in three-dimensional intravascular ultrasound correlated with histomorphometry. American Journal of Cardiology 78, 1202-1209 (1996)
6. Klingensmith, J., Shekhar, R., Vince, D.: Evaluation of three-dimensional segmentation algorithms for identification of luminal and medial-adventitial borders in intravascular ultrasound images. IEEE Trans. on Medical Imaging 19, 996-1011 (2000)
7. Freund, Y., Schapire, R.E.: A decision-theoretic generalization of on-line learning and an application to boosting. In: European Conference on Computational Learning Theory, pp. 23-37 (1995)
8. Viola, P., Jones, M.: Rapid object detection using a boosted cascade of simple features (2001)
9. Daugman, J.: Uncertainty relation for resolution in space, spatial frequency and orientation optimized by two dimensional visual cortical filters. Journal of the Optical Society of America 2, 1160-1169 (1985)
10. Dubes, R., Ohanian, P.: Performance evaluation for four classes of textural features. Pattern Recognition 25, 819-833 (1992)
11. Ojala, T., M, P., Maenpaa, T.: Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Transactions on Pattern Analysis and Machine Intelligence 27, 971-987 (2002)
12. Poggio, T., Ryan Rifkin, S.M., Niyogi, P.: General conditions for predictivity in learning theory. Letters to Nature 428, 419-422 (2004)
13. Duch, W., Diercksen, G.H.F.: Feature Space Mapping as a universal adaptive system. Computer Physics Communications 87, 341-371 (1995)
14. Haralick, R.M., Shapiro, L.G.: Computer and Robot Vision, vol. I. Addison-Wesley Longman Publishing Co., Inc, Boston, MA, USA (1992)
15. Michael Kass, A.W., Terzopoulo, D.: Snakes: Active contour models. International Journal of Computer Vision 1, 321-331 (1998)
16. McInerney, T., Terzopoulos, D.: Deformable models in medical images analysis:a survey. Medical Image Analysis 1, 91-108 (1996)
17. Canny, J.: A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell. 8, 679-698 (1986)
18. Rotger, D., Rosales, M., Garcia, J., Pujol, O., Mauri, J., Radeva, P.: Activevessel: A new multimedia workstation for intravascular ultrasound and angiography fusion. In: Proc. IEEE of Computers in Cardiology 30, 65-68 (2003)