Paper
1 May 1994 Region of support in 3D vascular reconstruction
Yves L. Trousset, H. Desecures, Michel Grimaud
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Abstract
The 3D reconstruction of an opacified vasculature from a set of subtracted 2D x-ray projections is an ill-posed problem for which prior information must be taken into account in order to stabilize the solution. The high contrast and sparseness characteristics of opacified blood vessels may be used through the introduction of a region of support (ROS) of the object to be reconstructed. This paper compares different techniques to build and use an ROS in 3D vascular reconstruction. The ROS is obtained either by segmenting the 2D projections or by segmenting in 3D a coarse estimate of the reconstructed object. The conclusion is that the use of an ROS does not improve the quality of the reconstruction, although it does dramatically reduce its computational requirements. Another conclusion is that the 3D segmentation approach seems to be more robust than the 2D segmentation one.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yves L. Trousset, H. Desecures, and Michel Grimaud "Region of support in 3D vascular reconstruction", Proc. SPIE 2164, Medical Imaging 1994: Image Capture, Formatting, and Display, (1 May 1994); https://doi.org/10.1117/12.173992
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Image segmentation

3D image processing

Reconstruction algorithms

3D acquisition

3D modeling

Blood vessels

Image processing algorithms and systems

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