This paper presents a complete simulation of x-ray angiography, which we have used as tool to assist our research work in 3D reconstruction of vasculature from x-ray angiograms. X-ray angiography is an image acquisition technique routinely used in clinical practice to obtain images of blood vessel networks, which operates as follows: x-ray opaque dye is injected into the blood flow and is driven through the vessel network by time varying pressure gradients. An x-ray device captures a sequence of images as the dye flows, yielding an animation in which each image shows part of the vasculature. Once an animation from a given point of view has been acquired, the x-ray device is moved to a new position and the whole process is repeated. The final result is a set of animations. The simulation is able to reproduce all the salient points of x-ray angiography. Given our motivation (reconstructing vascular skeletons) we generalized the simulation so that it can produce static images of complete vasculature, and pre- segmented images that represented key stages in our reconstruction algorithm.
[1]
J F Williamson,et al.
Volume-based geometric modeling for radiation transport calculations.
,
1992,
Medical physics.
[2]
J B Charles,et al.
Mathematical modeling of human cardiovascular system for simulation of orthostatic response.
,
1992,
The American journal of physiology.
[3]
R L Siddon,et al.
Calculation of the radiological depth.
,
1985,
Medical physics.
[4]
J. Barba,et al.
3-D Reconstruction of Arterial Lumen
,
1987
.
[5]
J. Fessler,et al.
Object-based 3-D reconstruction of arterial trees from magnetic resonance angiograms.
,
1991,
IEEE transactions on medical imaging.
[6]
J. Sklansky,et al.
Estimating the 3D skeletons and transverse areas of coronary arteries from biplane angiograms.
,
1988,
IEEE transactions on medical imaging.
[7]
Peter Hall,et al.
Reconstructing vascular skeletons from x-ray angiograms
,
1998,
Medical Imaging.