Abstract
A novel network-based method to realistically simulate the guidewire position in the vascular system is presented in this paper. We can always obtain an ideal guidewire path by the shortest path algorithm, particularly, critical path algorithm based on the principle of maximum path length. Besides, we propose an adaptive sampling algorithm and optimizations based on two ends of the guidewire to adjust the guidewire position toward achieving an ideal simulation result. Compared with previous results, we can achieve 29%, 20% and 47% improvements in accuracy for three phantoms under the same conditions.
Highlights
Cardiovascular disease ranks first among all causes of death, resulting in more than 15 million deaths each year in the world
The proposed method is evaluated by comparing simulation result Gs with reference guidewire Gr
WORK In this paper, we have proposed a novel network-based method to simulate the guidewire path for surgical operations
Summary
Cardiovascular disease ranks first among all causes of death, resulting in more than 15 million deaths each year in the world. Over the past few decades, minimally invasive vascular intervention surgery has taken place rapid development with the advantages of faster recovery, smaller incisions, less blood loss, a shorter hospital stay and decreased pain. In this surgery, a flexible guidewire is first placed in the remote punctured artery site and navigated to the diseased site under fluoroscopic guidance. This operation is complicated due to the guidewire’s shape and position arbitrary change inside the vessel lumen. It is valuable to predict the guidewire position in advance to optimize the image-guided procedure
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