A novel line detection method in space-time images for microvascular blood flow analysis in sublingual microcirculatory videos

Proceedings - International Symposium on Biomedical Imaging

Volumn , Issue , 2013, Pages 828-831

  You, Sheng ^a   Massey, Michael ^b   Shapiro, Nathan ^b   Erdogmus, Deniz ^a  

^a Northeastern University   (United States)

^b BETH ISRAEL DEACONESS MEDICAL CENTER   (United States)

Author keywords

Microcirculation; red blood cells; Renyi entropy; trace orientation; velocity estimation

Indexed keywords

BLOOD FLOW MEASUREMENT; HEMODYNAMIC PARAMETERS; QUANTITATIVE ASSESSMENTS; RED BLOOD CELL; RENYI ENTROPY; SPACE-TIME DIAGRAMS; VELOCITY ESTIMATION; VESSEL SEGMENTATION;

BLOOD; CELLS; ESTIMATION; FLOW RATE; HOUGH TRANSFORMS; IMAGE ANALYSIS; MEDICAL IMAGING; MICROCIRCULATION; VELOCITY;

IMAGE SEGMENTATION;

EID: 84881658465     PISSN: 19457928     EISSN: 19458452     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2013.6556603     Document Type: Conference Paper

References (12)

1. D. De Backer, J. Creteur, J. C. Preiser, M. J. Dubois, and J. L. Vincent, "Microvascular blood flow is altered in patients with sepsis," American Journal of Respiratory and Critical Care Medicine, vol. 166, pp. 98-104, 2002. (Pubitemid 34693970)
2. A. G. Hudetz, G. Feher, C. G. Weigle, D. E. Knuese, and J. P. Kampine, "Video microscopy of cerebrocortical capillary flow: response to hypotension and intracranial hypertension," American Journal of Physiology - Heart and Circulatory Physiology, vol. 268, pp. H2202-H2210, 1995.
3. E. Tibirica, E. Rodrigues, R. A. Cobas, and M. B. Gomes, "Endothelial function in patients with type 1 diabetes evaluated by skin capillary recruitment," Microvascular Research, vol. 73, pp. 107-112, 2007. (Pubitemid 46241235)
4. P. T. Goedhart, M. Khalilzada, R. Bezemer, J. Merza, and C. Ince, "Sidestream dark field (SDF) imaging: a novel stroboscopic LED ring-based imaging modality for clinical assessment of the microcirculation," Optics Express, vol. 15, pp. 15101-15114, 2007. (Pubitemid 350127674)
5. D.W. Slaaf, T. J. M. Jeurens, G. J. Tangelder, R. S. Reneman, and T. Arts, "Methods to measure blood flow velocity of red blood cells in vivo at the microscopic level," Annals of Biomedical Engineering, vol. 14, pp. 175-186, 1986. (Pubitemid 16096448)
6. C. C. Wu, G. Zhang, T. C. Huang, and K. P. Lin, "Red blood cell velocity measurements of complete capillary in finger nail-fold using optical flow estimation," Microvascular Research, vol. 78, pp. 319-324, 2009.
7. A. Kempczynski and B. Grzegorzewski, "Estimation of red blood cell aggregate velocity during sedimentation using the hough transform," Optics Communications, vol. 281, pp. 5487-5491, 2008.
8. J. G. G. Dobbe, G. J. Streekstra, B. Atasever, and C. Ince R. van Zijderveld, "Measurement of functional microcirculatory geometry and velocity distributions using automated image analysis," Medical and Biological Engineering and Computing, vol. 46, pp. 657-670, 2008.
9. P. J. Drew, P. Blinder, G. Cauwenberghs, and D. Kleinfeld A. Y. Shih, "Rapid determination of particle velocity from space time images using the radon transform," Journal of Computational Neuroscience, vol. 29, pp. 5-11, 2010.
10. C. Tomasi and R. Manduchi, "Bilateral filtering for gray and color images," Sixth International Conference on Computer Vision (ICCV 1998), pp. 839-846, 1998.
11. M. Jacob and M. Unser, "Design of steerable filters for feature detection using canny-like criteria," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 26, pp. 1007-1019, 2004.
12. Y. Chen, Z. Zhao, L. Liu, and H. Li, "Automatic tracking and measurement of the motion of blood cells in microvessels based on analysis of multiple spatiotemporal images," Measurement Science and Technology, vol. 22, pp. 045803-1-045803-14, 2011.