Abstract
The visual extension of the 2D angiographic data to 3D is called 3D reconstruction and improves clinical routine. Herein we present results of the application of one of the most frequently used techniques in reconstruction, i.e. based on a pinhole camera. The basic theoretical aspects are provided in the first part: pinhole theory, epipolar geometry, and geometry of the C-arm angiographic system. Secondly, the rotation and translation matrices are adapted to the image acquisition equipment, and the algorithm of 3D reconstruction from two different views is described. Thirdly, the quantitative results of the algorithm are presented for a vessel segment, which was manually tagged by a user in both views. To improve the initial results, i.e. to minimize the reconstruction error, an optimization of key parameters is performed, and the outputs are evaluated.
Finally, an algorithm for estimating the transit time of blood flow from angiographic image series is presented. Starting from the time density curve, which is derived from the pixel grey intensities of a region of interest in an image, more than a dozen of methods for computing the transport time are extracted from the literature and compared for an image series.
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Tache, I.A. (2017). Three Dimensional Reconstruction and Hemodynamic Information Extraction from Monoplane Angiography. In: Itu, L., Sharma, P., Suciu, C. (eds) Patient-specific Hemodynamic Computations: Application to Personalized Diagnosis of Cardiovascular Pathologies. Springer, Cham. https://doi.org/10.1007/978-3-319-56853-9_6
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DOI: https://doi.org/10.1007/978-3-319-56853-9_6
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