Three-dimensional motion and reconstruction of coronary arteries from biplane cineangiography
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Cited by (31)
Motion estimation of 3D coronary vessel skeletons from X-ray angiographic sequences
2011, Computerized Medical Imaging and GraphicsCitation Excerpt :In this paragraph, we discus major improvements we have made compared with other 3D motion estimation methods for coronary vessel skeletons reconstructed from CAG image sequences. The major drawback of the conventional optical-flow-based methods [20,22–27] mentioned in Section 1.2.2 is that errors existing in calibration parameters of the imaging system may be introduced into motion estimation results again during backprojection. Also, results of OF-based methods are sensitive to possible noises existing in the images because the OF field of the target is obtained according to partial derivatives of the intensity value of each pixel with respect to the pixel's position.
Sequential reconstruction of vessel skeletons from X-ray coronary angiographic sequences
2010, Computerized Medical Imaging and Graphics3-D multimodal cardiac data superimposition using 2-D image registration and 3-D reconstruction from multiple views
2009, Image and Vision ComputingCitation Excerpt :An automated segmentation (1) and matching (2) of artery points are very difficult and require always manual adjustments more or less important according to the method and the reconstruction precision needed. This observation is based on all cited Refs. [2–13]. The reconstruction of an exact artery tree requires the calibration of the coronarographic system for each viewpoint.
Movement analysis: A review
2009, IRBMTowards dynamic cardiac scenes interpretation based on spatial-temporal knowledge
2000, Artificial Intelligence in MedicineCitation Excerpt :Therefore, dynamic feature extraction strongly depends on the precision and quality of motion calculation. Our approach relies on dense ensembles of 3D displacement vectors (Fig. 5), calculated along ordered sets of connected 3D points, that represent reconstructed arteries centerlines [42]. Facts should be structured in meaningful units, based on a combination of objects behavior and correspondingly designed records.
Understanding coronary artery movement: A knowledge-based approach
1998, Artificial Intelligence in Medicine