Title :
Assessment of exercise-induced immune cell apoptosis using morphological image processing
Author :
Mohamed, Refaat ; El-Baz, Ayman ; Navalta, James
Author_Institution :
ITT Tech. Inst., Owings Mills, MD, USA
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.
Keywords :
biomechanics; cellular biophysics; medical image processing; stochastic processes; cell shapes; deformable models; exercise-induced immune cell apoptosis; morphological image processing; stochastic controlled energy function; Biomembranes; Cells (biology); Change detection algorithms; Deformable models; Gold; Image processing; Immune system; Morphology; Shape control; Stochastic processes; Cell Death Identification; Deformable Models; Morphological Change Detection;
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2009.5414111