Literature DB >> 15575405

Motion gradient vector flow: an external force for tracking rolling leukocytes with shape and size constrained active contours.

Nilanjan Ray1, Scott T Acton.   

Abstract

Recording rolling leukocyte velocities from intravital microscopic video imagery is a critical task in inflammation research and drug validation. Since manual tracking is excessively time consuming, an automated method is desired. This paper illustrates an active contour based automated tracking method, where we propose a novel external force to guide the active contour that takes the hemodynamic flow direction into account. The construction of the proposed force field, referred to as motion gradient vector flow (MGVF), is accomplished by minimizing an energy functional involving the motion direction, and the image gradient magnitude. The tracking experiments demonstrate that MGVF can be used to track both slow- and fast-rolling leukocytes, thus extending the capture range of previously designed cell tracking techniques.

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Year:  2004        PMID: 15575405     DOI: 10.1109/TMI.2004.835603

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  10 in total

1.  Automatic detection of motion blur in intravital video microscopy image sequences via directional statistics of log-Gabor energy maps.

Authors:  Ricardo J Ferrari; Carlos H Villa Pinto; Bruno C Gregório da Silva; Danielle Bernardes; Juliana Carvalho-Tavares
Journal:  Med Biol Eng Comput       Date:  2014-11-04       Impact factor: 2.602

2.  Dynamic Programming Using Polar Variance for Image Segmentation.

Authors:  Jose A Rosado-Toro; Maria I Altbach; Jeffrey J Rodriguez
Journal:  IEEE Trans Image Process       Date:  2016-10-06       Impact factor: 10.856

3.  Image Segmentation Using Active Contours with Hessian-Based Gradient Vector Flow External Force.

Authors:  Qianqian Qian; Ke Cheng; Wei Qian; Qingchang Deng; Yuanquan Wang
Journal:  Sensors (Basel)       Date:  2022-06-30       Impact factor: 3.847

4.  A probabilistic cell model in background corrected image sequences for single cell analysis.

Authors:  Nezamoddin N Kachouie; Paul Fieguth; Eric Jervis
Journal:  Biomed Eng Online       Date:  2010-10-06       Impact factor: 2.819

5.  Extracting, Recognizing, and Counting White Blood Cells from Microscopic Images by Using Complex-valued Neural Networks.

Authors:  Hamid Akramifard; Mohammad Firouzmand; Reza Askari Moghadam
Journal:  J Med Signals Sens       Date:  2012-07

6.  Convolutional virtual electric field for image segmentation using active contours.

Authors:  Yuanquan Wang; Ce Zhu; Jiawan Zhang; Yuden Jian
Journal:  PLoS One       Date:  2014-10-31       Impact factor: 3.240

7.  Quantitative 3D analysis of complex single border cell behaviors in coordinated collective cell migration.

Authors:  Adam Cliffe; David P Doupé; HsinHo Sung; Isaac Kok Hwee Lim; Kok Haur Ong; Li Cheng; Weimiao Yu
Journal:  Nat Commun       Date:  2017-04-04       Impact factor: 14.919

8.  A novel approach to segment and classify regional lymph nodes on computed tomography images.

Authors:  Hongmin Cai; Chunyan Cui; Haiying Tian; Min Zhang; Li Li
Journal:  Comput Math Methods Med       Date:  2012-10-31       Impact factor: 2.238

9.  ASIST: Annotation-free synthetic instance segmentation and tracking by adversarial simulations.

Authors:  Quan Liu; Isabella M Gaeta; Mengyang Zhao; Ruining Deng; Aadarsh Jha; Bryan A Millis; Anita Mahadevan-Jansen; Matthew J Tyska; Yuankai Huo
Journal:  Comput Biol Med       Date:  2021-05-31       Impact factor: 6.698

10.  Image segmentation using active contours with modified convolutional virtual electric field external force with an edge-stopping function.

Authors:  Ke Cheng; Tianfeng Xiao; Qingfang Chen; Yuanquan Wang
Journal:  PLoS One       Date:  2020-03-26       Impact factor: 3.240

  10 in total

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