KEYWORDS: Image segmentation, Cerebral aneurysms, Error analysis, Angiography, 3D image processing, 3D modeling, Calibration, Medical research, 3D image reconstruction, Magnetism
Endovascular treatment of cerebral aneurysms with radioactive coils may prevent recanalization after embolization. This strategy requires an accurate estimation of the volume of the mass of coils to evaluate the intervention dosimetric success. The purpose of this work is to develop a computer-aided method to estimate the coil volumes using only two orthogonal angiographic projections. The originality of the method resides in the direct reconstruction of two 3-D contours of the mass of coils and the following variational interpolation of the 3-D surface in order to estimate its volume. Validated by simulations, the reconstruction algorithms could estimate the enclosed volumes with an average error of 2.9% and a variability of 2.5%. In addition, the feasibility of the method was also demonstrated using clinical images. Results showed that this reconstruction technique could quickly generate an accurate and realistic 3-D shape of the mass of coils without interfering with an ongoing clinician procedure.
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