DocumentCode :
793134
Title :
Guide wire reconstruction and visualization in 3DRA using monoplane fluoroscopic imaging
Author :
van Walsum, Theo ; Baert, Shirley A M ; Niessen, Wiro J.
Author_Institution :
Univ. Med. Center Utrecht, Netherlands
Volume :
24
Issue :
5
fYear :
2005
fDate :
5/1/2005 12:00:00 AM
Firstpage :
612
Lastpage :
623
Abstract :
A method has been developed that, based on the guide wire position in monoplane fluoroscopic images, visualizes the approximate guide wire position in the three-dimensional (3-D) vasculature, that is obtained prior to the intervention with 3-D rotational X-ray angiography (3DRA). The method assumes the position of the guide wire in the fluoroscopic images is known. A two-dimensional feature image is determined from the 3DRA data. In this feature image, the guide wire position is determined in a two-step approach: a mincost algorithm is used to determine a suitable position for the guide wire, and subsequently a snake optimization technique is applied to move the guide wire to a better position. The resulting guide wire can then be visualized in 3-D in combination with the 3DRA dataset. The reconstruction accuracy of the method has been evaluated using a 3DRA image of a vascular phantom filled with contrast, and monoplane fluoroscopic images of the same phantom without contrast and with a guide wire inserted. The evaluation has been performed for different projection angles, and with different parameters for the method. The final result does not appear to be very sensitive to the parameters of the method. The average mean error of the estimated 3-D guide wire position is 1.5 mm, and the average tip distance is 2.3 mm. The effect of inaccurate C-arm geometry information is also investigated. Small errors in geometry information (up to 1°) will slightly decrease the 3-D reconstruction accuracies, with an error of at most 1 mm. The feasibility of this approach on clinical data is demonstrated.
Keywords :
diagnostic radiography; image reconstruction; medical image processing; optimisation; phantoms; 3-D rotational X-ray angiography; guide wire reconstruction; inaccurate C-arm geometry information; mincost algorithm; monoplane fluoroscopic imaging; snake optimization technique; vascular phantom; visualization; Angiography; Data visualization; Image reconstruction; Imaging phantoms; Information geometry; Optical imaging; Performance evaluation; Three dimensional displays; Wire; X-ray imaging; 3-D reconstruction; Angiography; fluoroscopy; monoplane; Algorithms; Angiography; Artificial Intelligence; Catheterization; Cluster Analysis; Computer Simulation; Feasibility Studies; Fluoroscopy; Humans; Imaging, Three-Dimensional; Models, Biological; Pattern Recognition, Automated; Phantoms, Imaging; Radiographic Image Enhancement; Radiographic Image Interpretation, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity; Surgery, Computer-Assisted; User-Computer Interface;
fLanguage :
English
Journal_Title :
Medical Imaging, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0062
Type :
jour
DOI :
10.1109/TMI.2005.844073
Filename :
1425668
Link To Document :
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