Assessment of exercise-induced immune cell apoptosis using morphological image processing

Authors:
Refaat Mohamed;Ayman El-Baz;James Navalta
Affiliations:
ITT Technical Institute, Owings Mills, MD;Bioengineering Department, University of Louisville, Louisville, KY;Department of Physical Education and Recreation, Western Kentucky University, Bowling Green, KY
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

Citing 2
Cited 0

Using Dynamic Programming for Solving Variational Problems in Vision

IEEE Transactions on Pattern Analysis and Machine Intelligence
Advances in kernel methods: support vector learning

Advances in kernel methods: support vector learning

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents an image processing-based approach for the assessment of living cell apoptosis. The approach uses deformable models in tracing the changes in cell shapes in accordance to possible apoptotic cell death. Stochastic controlled energy function is used to drive the evolution of the deformable model. As an application for the proposed approach, it is applied for detecting the morphological changes in exercise-induced immune cells during their apoptosis. The approach is used with the goal of automating the assessment of cell apoptosis. The proposed approach shows promising results in detecting these morphological changes.