27 March 2009 A comparison of line enhancement techniques: applications to guide-wire detection and respiratory motion tracking
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Proceedings Volume 7259, Medical Imaging 2009: Image Processing; 72591M (2009) https://doi.org/10.1117/12.812241
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States
During interventional radiology procedures, guide-wires are usually inserted into the patients vascular tree for diagnosis or healing purpose. These procedures are monitored with an Xray interventional system providing images of the interventional devices navigating through the patient's body. The automatic detection of such tools by image processing means has gained maturity over the past years and enables applications ranging from image enhancement to multimodal image fusion. Sophisticated detection methods are emerging, which rely on a variety of device enhancement techniques. In this article we reviewed and classified these techniques into three families. We chose a state of the art approach in each of them and built a rigorous framework to compare their detection capability and their computational complexity. Through simulations and the intensive use of ROC curves we demonstrated that the Hessian based methods are the most robust to strong curvature of the devices and that the family of rotated filters technique is the most suited for detecting low CNR and low curvature devices. The steerable filter approach demonstrated less interesting detection capabilities and appears to be the most expensive one to compute. Finally we demonstrated the interest of automatic guide-wire detection on a clinical topic: the compensation of respiratory motion in multimodal image fusion.
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Vincent Bismuth, Vincent Bismuth, Laurence Vancamberg, Laurence Vancamberg, Sébastien Gorges, Sébastien Gorges, "A comparison of line enhancement techniques: applications to guide-wire detection and respiratory motion tracking", Proc. SPIE 7259, Medical Imaging 2009: Image Processing, 72591M (27 March 2009); doi: 10.1117/12.812241; https://doi.org/10.1117/12.812241

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