Abstract：
:This paper addresses the implementation of image processing and computer vision techniques to automate tracer flow extraction in images obtained by the photochromic dye technique. This task is important in modeled arterial blood flow studies. Currently, it is performed via manual application of B-spline curve fitting. However, this is a tedious and error-prone procedure and its results are nonreproducible. In the proposed approach, active contours, snakes, are employed in a new curve-fitting method for tracer flow extraction in photochromic images. An algorithm implementing snakes is introduced to automate extraction. Utilizing correlation matching, the algorithm quickly locates and localizes all flow traces in the images. The feasibility of the method for tracer flow extraction is demonstrated. Moreover, results regarding the automation algorithm are presented showing its accuracy and effectiveness. The proposed approach for tracer flow extraction has potential for real-system application.
journal_name
IEEE Trans Med Imagingjournal_title
IEEE transactions on medical imagingauthors
Androutsos D,Trahanias PE,Venetsanopoulos ANdoi
10.1109/42.585762subject
Has Abstractpub_date
1997-06-01 00:00:00pages
284-93issue
3eissn
0278-0062issn
1558-254Xjournal_volume
16pub_type
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journal_title：IEEE transactions on medical imaging
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