Document Detail


Three-dimensional densitometric reconstruction and visualization of stenosed coronary artery segments.
MedLine Citation:
PMID:  7780946     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
In this paper we report results from an ongoing study about the diagnostic benefits of three-dimensional (3D) visualization and quantification of stenosed coronary artery segments. Biplane angiographic images do not provide enough information for the exact reconstruction of the coronary arteries. Therefore, a priori information about the 3D shape to be reconstructed must be incorporated into the reconstruction algorithm. One approach is to assume a circular cross-section of the coronary artery. Hence, the diameter is estimated from the contours of the vessel in both projections. Another approach is based on densitometry and searches for a solution of the reconstruction problem close to the previously reconstructed adjacent slice. In this paper we apply contour information as well as the densitometrical profiles of the two orthogonal vessel projections. We present a new probabilistic densitometric reconstruction algorithm, which extends the correct handling of the stochastic properties of the density profiles into the network flow based reconstruction algorithm. The reconstructed coronary segment is visualized in three dimensions. In order to assess the accuracy of the reconstruction, the method is applied to tubes with artificial obstruction of known geometry, modeling coronary artery stenoses. These catheter tubes are filled with normal iodine contrast material. The results of the reconstruction and visualization are discussed with respect to clinical usefulness.
Authors:
J G van den Broek; C H Slump; C J Storm; A C van Benthem; B Buis
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society     Volume:  19     ISSN:  0895-6111     ISO Abbreviation:  Comput Med Imaging Graph     Publication Date:    1995 Mar-Apr
Date Detail:
Created Date:  1995-07-20     Completed Date:  1995-07-20     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  8806104     Medline TA:  Comput Med Imaging Graph     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  207-17     Citation Subset:  IM    
Affiliation:
Department of Electrical Engineering, University of Twente, Enschede, The Netherlands.
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MeSH Terms
Descriptor/Qualifier:
Absorptiometry, Photon* / methods
Algorithms
Contrast Media
Coronary Angiography* / methods
Coronary Disease / pathology,  radiography*
Coronary Vessels / pathology
Data Display
Humans
Image Processing, Computer-Assisted / methods
Iodine / diagnostic use
Models, Structural
Probability
Radiographic Image Enhancement* / methods
Stochastic Processes
Chemical
Reg. No./Substance:
0/Contrast Media; 7553-56-2/Iodine

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


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