NDLI: Coupled edge profile active contours for red blood cell flow analysis

Content Provider	IEEE Xplore Digital Library
Author	Ersoy, I. Bunyak, F. Higgins, J.M. Palaniappan, K.
Copyright Year	2012
Description	Author affiliation: University of Missouri Columbia, Department of Computer Science, Columbia, MO 65201 (Ersoy, I.; Bunyak, F.; Palaniappan, K.) \|\| Department of Systems Biology, Harvard Medical School, Boston, MA 02115 (Higgins, J.M.)
Abstract	Physiological properties of blood flow at the microvasculature scale can be measured by tracking the movement and density of red blood cells (RBCs). In this paper we propose a method for individual RBC segmentation to enable tracking and capturing dynamically varying bulk transport properties. RBCs have varying annular and disk like morphologies, and are often clustered into clumps that are difficult to segment using watershed-based methods. Edge profile active contours in combination with graph coloring based coupling (C-EPAC) are introduced as a robust approach to prevent merges between adjacent, clumped RBCs by modifying the active contour energy function to be sensitive to a specific edge profile and not just the magnitude as in the traditional methods. Explicit coupling is combined with graph coloring to efficiently compute the contour evolution using the fewest number of level sets to support high-throughput studies of RBC flow characterization under varying physiological conditions.
Starting Page	748
Ending Page	751
File Size	938548
Page Count	4
File Format	PDF
ISBN	9781457718571
ISSN	19457928
e-ISBN	9781457718588
DOI	10.1109/ISBI.2012.6235656
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-02
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Active contours Level set Red blood cells Couplings Image edge detection Image segmentation cell tracking cell segmentation level set active contours red blood cells
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

CELL SEGMENTATION AND TRACKING USING TEXTURE-ADAPTIVE SNAKES

Tracking fluorescent cells with coupled geometric active contours

A level set approach for proteomics image analysis

A novel multiphase level set method to image segmentation combined with edge link method

Medical Image Segmentation Using Active Contours and a Level Set Model: Application to Pulmonary Embolism (PE) Segmentation

Divergence-aided gradient vector flow snakes

Multiphase Segmentation of SAR Images with Level Set Evolution

Touchcut: Single-touch object segmentation driven by level set methods

Level-set based geometric colour snake with region support

Coupled edge profile active contours for red blood cell flow analysis

Similar Documents

CELL SEGMENTATION AND TRACKING USING TEXTURE-ADAPTIVE SNAKES

Tracking fluorescent cells with coupled geometric active contours

A level set approach for proteomics image analysis

A novel multiphase level set method to image segmentation combined with edge link method

Medical Image Segmentation Using Active Contours and a Level Set Model: Application to Pulmonary Embolism (PE) Segmentation

Divergence-aided gradient vector flow snakes

Multiphase Segmentation of SAR Images with Level Set Evolution

Touchcut: Single-touch object segmentation driven by level set methods

Level-set based geometric colour snake with region support

Coupled edge profile active contours for red blood cell flow analysis