DocumentCode :
1845068
Title :
Cell image segmentation and tracking based on VFC Snake model in vivo
Author :
Yonggang Shi ; Lin Wang ; Feng Zhu ; Zhiwen Liu
Author_Institution :
Sch. of Inf. & Electron., Beijing Inst. of Technol., Beijing, China
Volume :
1
fYear :
2012
fDate :
21-25 Oct. 2012
Firstpage :
765
Lastpage :
770
Abstract :
Cellular morphology contains the significant healthy information of the living organisms. Morphological analysis of cells features conduces to classify normal physiology and abnormal pathology. Lymphocyte is one most important cell of the organismal immune system. For an organ transplantation recipient, the body has an immune response, transplant rejection, to the transplanted organ. Lymphocyte morphology will distort sharply. Cellular morphology analysis in membrane boundaries can provide important information for repulsion diagnosis. Clinical lymphocyte microscopic video is segmented and tracked with mathematical morphology, the VFC Snake model. The test results show that cellular morphologic distortion has close relation with transplant rejection.
Keywords :
image segmentation; mathematical morphology; medical image processing; object tracking; video signal processing; VFC snake model; abnormal pathology; cell image segmentation; cell tracking; cellular morphology analysis; clinical lymphocyte microscopic video; immune response; lymphocyte morphology; membrane boundaries; normal physiology; organ transplantation recipient; organismal immune system; transplant rejection; Boundary tracking; Cellular morphology analysis; Lymphocyte; Snake model; VFC field;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing (ICSP), 2012 IEEE 11th International Conference on
Conference_Location :
Beijing
ISSN :
2164-5221
Print_ISBN :
978-1-4673-2196-9
Type :
conf
DOI :
10.1109/ICoSP.2012.6491600
Filename :
6491600
Link To Document :
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