Document Detail


Experimental estimation of blood flow velocity through simulation of intravital microscopic imaging in micro-vessels by different image processing methods.
MedLine Citation:
PMID:  20659483     Owner:  NLM     Status:  In-Process    
Abstract/OtherAbstract:
Quantization of red blood cell (RBC) velocity in micro-vessel is one of the techniques for dynamic observation of microvascular mechanisms. The flow measurement of RBC in micro-vessels is still a challenge nowadays. Image processing for velocity measurement using a frame by frame analysis is a common approach. The accuracy of the calculations, which is algorithm dependant, has rarely been examined. In this paper, we evaluated the accuracy of the existing methods, which includes cross correlation method, Hough transform method, and optical flow method, by applying these methods to simulated micro-vessel image sequences. Simulated experiments in various micro-vessels with random RBC motion were applied in the evaluation. The blood flow variation in the same micro-vessels with different RBC densities and velocities was considered in the simulations. The calculation accuracy of different flow patterns and vessel shapes were also examined, respectively. Based on the comparison, the use of an optical flow method, which is superior to a cross-correlation method or a Hough transform method, is proposed for measuring RBC velocity. The study indicated that the optical flow method is suitable for accurately measuring the velocity of the RBCs in small or large micro-vessels.
Authors:
Tzung-Chi Huang; Wen-Chen Lin; Chih-Chieh Wu; Geoffrey Zhang; Kang-Ping Lin
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2010-07-24
Journal Detail:
Title:  Microvascular research     Volume:  80     ISSN:  1095-9319     ISO Abbreviation:  Microvasc. Res.     Publication Date:  2010 Dec 
Date Detail:
Created Date:  2010-11-15     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0165035     Medline TA:  Microvasc Res     Country:  United States    
Other Details:
Languages:  eng     Pagination:  477-83     Citation Subset:  IM    
Copyright Information:
Copyright © 2010 Elsevier Inc. All rights reserved.
Affiliation:
Department of Biomedical Imaging and Radiological Science, China Medical University, Taiwan. tzungchi.huang@mail.cmu.edu.tw
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