Motion estimation of blood flow in microvasculature

Author

Luo Zhongming ; Li Dayong ; Lv Wenjing ; Liu Zhuofu

Author_Institution

Higher Educ. Key Lab. for Meas. & Control Technol. & Instrumentations of Heilongjiang Province, Harbin Univ. of Sci. & Technol., Harbin, China

Volume

2

fYear

2011

fDate

22-24 Aug. 2011

Firstpage

848

Lastpage

851

Abstract

In this paper, according to the characteristic of blood flow in microvasculature, a method is employed to track cell movement using histogram enhancement, threshold segmentation and updated template match in image sequences. In order to calculate blood flow, the updated template matching method is applied to image sequences. The experimental result indicates that this method can accurately track movement of inner cell mass and estimate the motion of blood flow as well.

Keywords

cellular transport; haemodynamics; image matching; image segmentation; image sequences; medical image processing; motion estimation; blood flow; cell movement tracking; histogram enhancement; image sequences; microvasculature; motion estimation; threshold segmentation; updated template match; Blood flow; Gray-scale; Histograms; Image segmentation; Image sequences; Target tracking; Image processing; image sequence analysis; inner cell mass; red blood cell; tracking blood flow;

fLanguage

English

Publisher

ieee

Conference_Titel

Strategic Technology (IFOST), 2011 6th International Forum on

Conference_Location

Harbin, Heilongjiang

Print_ISBN

978-1-4577-0398-0

Type

conf

DOI

10.1109/IFOST.2011.6021153

Filename

6021153