Thrombus segmentation by texture dynamics from microscopic image sequences

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 7623, Issue PART 1, 2010, Pages

  Brieu, Nicolas ^a   Serbanovic Canic, Jovana ^b   Cvejic, Ana ^b,c   Stemple, Derek ^b,c   Ouwehand, Willem ^b,c,d   Navab, Nassir ^a   Groher, Martin ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^b WELLCOME TRUST SANGER INSTITUTE   (United Kingdom)

^c UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^d NHS BLOOD AND TRANSPLANT   (United Kingdom)

Author keywords

Dynamic texture; Microscopic imaging; Segmentation

Indexed keywords

ACTIVE CONTOUR SEGMENTATION; BELONG TO; BLOOD CELLS; DYNAMIC TEXTURES; ERROR PRONES; ESTIMATED MODEL; GENETIC FACTORS; IMAGE CONTRASTS; INTENSITY IMAGES; MICROSCOPIC IMAGE; MICROSCOPIC IMAGING; PARAMETERS CHARACTERIZING; PIXEL INTENSITIES; PROBABILITY IMAGE; SEGMENTATION; SPATIAL INFORMATIONS; TEMPORAL INFORMATION; TEMPORAL WINDOWS; THROMBUS SEGMENTATION; WILD TYPES; ZEBRAFISH;

BLOOD; BLOOD VESSELS; CAMERAS; CCD CAMERAS; COAGULATION; IMAGE SEGMENTATION; IMAGING SYSTEMS; MICROSCOPIC EXAMINATION; PIXELS; STEREO VISION; TEXTURES;

MEDICAL IMAGING;

EID: 79751516135     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.844230     Document Type: Conference Paper

References (12)

1. O'Connor, M., Salles, I., Cvejic, A., Watkins, N., Walker, A., Garner, S., Jones, C., Macaulay, I., Steward, M., Zwaginga, J., Bray, S., Dudbridge, F., De Bono, B., A.H., G., Deckmyn, H., Stemple, D., and Ouwehand, W., "Functional genomics in zebrafish permits rapid characterization of novel platelet membrane proteins.," Blood 113(19), 4754-4762 (2009).
2. Ray, N., Acton, S., and Ley, K., "Tracking leukocytes in vivo with shape and size constrained active contours," IEEE Transactions on Medical Imaging 21(10), 1222-1235 (2002).
3. Tang, J. and Acton, S., "Vessel boundary tracking for intravital microscopy via multiscale gradient vector flow snakes," IEEE Transactions on Biomedical Engineering 51(2), 316-324 (2004).
4. Sugii, Y., Nishio, S., and Okamoto, K., "In vivo piv measurement of red blood cell velocity field in microvessels considering mesentery motion," Physiol. Meas. 23, 403-416 (2002).
5. Falati, S., Gross, P., Merrill-Skoloff, G., Furie, B., and Furie, B., "Real-time in vivo imaging of platelets, tissue factor and fibrin during arterial thrombus formation in the mouse," Nature Medicine 8, 1175-1180 (2002).
6. Mu, J., Liu, X., Kamocka, M., Xu, Z., Alber, M., Rosen, E., and Chen, D., "Segmentation, reconstruction, and analysis of blood thrombi in 2-photon microscopy images," in [Proc. IEEE International Symposium on Computer-Based Medical Systems], 1-8 (2009).
7. Lo, B. and Velastin, S., "Automatic congestion detection system for underground platforms," in [Proc. International Symposium on Intelligent Multimedia, Video and Speech Processing], 158-161 (2001).
8. Stauffer, C. and Grimson, W., "Adaptive background mixture models for real-time tracking," in [Proc. IEEE Computer Society Conference on Computer Vision and Pattern Recognition], 2 (1999).
9. Doretto, G., Cremers, D., Favaro, P., and Soatto, S., "Dynamic texture segmentation," in [Proc. IEEE International Conference on Computer Vision], 2, 1236-1242 (2003).
10. Chan, T. and Vese, L., "Active contours without edges," IEEE Transactions on image processing 10(2), 266-277 (2001).
11. Kass, M., Witkin, A., and Terzopoulos, D., "Snakes: Active contour models," International journal of computer vision 1(4), 321-331 (1988).
12. Xu, C. and Prince, J., "Snakes, shapes, and gradient vector flow," in [IEEE Transactions on Image Processing], 7(3), 359-369 (1998).