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