Document Detail


A new approach for the automated definition of path lines in digitized coronary angiograms.
MedLine Citation:
PMID:  2230299     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
For the quantitative analysis of a coronary segment from a coronary (cine)angiogram, an initial path line is required which functions as a model for the subsequent automated contour detection. For on-line applications, a new method for the automated definition of arterial path lines has been developed. Required user-interaction consists of the manual definition of a beginning and an endpoint of the arterial segment to be analyzed. The method is based on a combination of a beam tracer and a box technique. A validation study was performed on 47 non obstructed arteries of various lengths and diameters, and on 56 arterial segments with obstructions (up to 86 percent diameter stenosis). In 89% of the cases an acceptable path line was found after the first iteration; the success score increased to 99%, if a simple manual correction was allowed (2 iterations). The method is extremely fast: the overall average search time for the first iteration was 266 ms, for the second iteration 211 ms. Therefore, it may be concluded that this new technique for the automated definition of arterial path lines is extremely suitable for on-line applications.
Authors:
P M van der Zwet; I M Pinto; P W Serruys; J H Reiber
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  International journal of cardiac imaging     Volume:  5     ISSN:  0167-9899     ISO Abbreviation:  Int J Card Imaging     Publication Date:  1990  
Date Detail:
Created Date:  1990-12-05     Completed Date:  1990-12-05     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  8600426     Medline TA:  Int J Card Imaging     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  75-83     Citation Subset:  IM    
Affiliation:
Laboratory for Clinical and Experimental Image Processing, Erasmus University, Rotterdam, The Netherlands.
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Cineangiography / methods*
Coronary Angiography*
Humans
Image Processing, Computer-Assisted
Radiographic Image Enhancement / methods*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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