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

Content Provider	IEEE Xplore Digital Library
Author	Sheng You Massey, M. Shapiro, N. Erdogmus, D.
Copyright Year	2013
Description	Author affiliation: Dept. of Emergency Med., Beth Israel Deaconess Med. Center, Boston, MA, USA (Massey, M.; Shapiro, N.) \|\| Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA (Sheng You; Erdogmus, D.)
Abstract	Recent evidence suggests that quantitative assessment of microcirculatory dysfunction may indicate certain disease states [1, 2, 3]. Relevant microcirculatory hemodynamic parameters include total vessel density, density of perfused vessels, proportion of perfused vessels, and perfusion heterogeneity index. In one non-invasive, clinical approach, a handheld video microscope placed under the tongue records images of blood flow in small (<; 20μm) and medium (approximately 20-100μm) diameter vessels. Hemodynamic parameters are computed from measurements of vessel geometry and blood flow rates. Current technology is limited by poor dynamic range, low resolution, poor image stability, and pressure artifacts. Video images are analyzed quantitatively and semi-quantitatively by trained image analysts using a time-consuming, semi-automated techniques for vessel segmentation, and blood flow measurements. Space-time images are generated for quantitative velocity estimation. We propose a novel line detection method to automatically estimate the orientation of red blood cell (RBC) or plasma gap traces in space-time images. Velocities of RBCs can then be calculated based on the estimated orientation. The proposed automated method for velocity estimation was implemented for 80 vessels and compared with visual estimation of reference slope in space-time diagrams by a trained image analyst. Finally, the proposed method is compared with a Hough transform based velocity estimation method.
Sponsorship	IEEE
Starting Page	828
Ending Page	831
File Size	294790
Page Count	4
File Format	PDF
ISBN	9781467364560
ISSN	19457928
e-ISBN	9781467364553
DOI	10.1109/ISBI.2013.6556603
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-04-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Transforms Estimation Videos Blood Image segmentation Entropy Plasmas Renyi entropy Microcirculation red blood cells velocity estimation trace orientation
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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