Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A method for the reconstruction of a vessel centerline from angiographic images is outlined in this work. A typical coronary artery segment with bifurcations was emulated with a 3D printed static phantom and several angiograms re acquired at various angular positions on the C-Arm. The effectiveness of the reconstruction turned out to be largely influenced by the intrinsic parameters of the angiographic system, particularly the homogeneous coordinates system scaling factor λ. Therefore, recourse was made to a heuristic optimization method to estimate the optimal value of λ for each view.  measured the reliability of the reconstruction method by varying the fitness function of the optimization step and measuring the distances of 8 test points in comparison to the corresponding points identified in the μCT centerline. Preliminary results shod that, with an adequate number of views, the adoption of the optimal fitness function allod the median distance error to be decreased below the acceptance threshold of 10%. As expected, the reliability of the method is improved by increasing the number of processed views.
['Eros Montin', 'Susanna Migliori', 'Claudio Chiastra', 'Caterina Credi', 'R. Fedele', 'Cristina Aurigemma', 'Marinella Levi', 'Francesco Burzotta', 'Francesco Migliavacca', 'Luca T. Mainardi']
I am writing a research paper on a idea A method for coronary bifurcation centerline reconstruction from angiographic images based on focalization optimization
[{"from": "human", "value": "I am writing a research paper on a idea A method for coronary bifurcation centerline reconstruction from angiographic images based on focalization optimization"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A method for the reconstruction of a vessel centerline from angiographic images is outlined in this work. A typical coronary artery segment with bifurcations was emulated with a 3D printed static phantom and several angiograms re acquired at various angular positions on the C-Arm. The effectiveness of the reconstruction turned out to be largely influenced by the intrinsic parameters of the angiographic system, particularly the homogeneous coordinates system scaling factor \u03bb. Therefore, recourse was made to a heuristic optimization method to estimate the optimal value of \u03bb for each view.  measured the reliability of the reconstruction method by varying the fitness function of the optimization step and measuring the distances of 8 test points in comparison to the corresponding points identified in the \u03bcCT centerline. Preliminary results shod that, with an adequate number of views, the adoption of the optimal fitness function allod the median distance error to be decreased below the acceptance threshold of 10%. As expected, the reliability of the method is improved by increasing the number of processed views."}]