Abstract
In interventional radiology, fluoroscopy is used to determine the position of the catheter inserted into a vessel. However, since vessels cannot be identified in fluoroscopic images, it is difficult to forward a catheter to a target region only with fluoroscopy. Thus, angiography and preoperative computed tomography (CT) images are used for the clinical purpose. CT images are useful for understanding the three-dimensional (3D) structure, but guidance of catheter is still difficult since the relationship between CT images and the fluoroscopic image is unclear. In this study, we developed a method for 3D representation of deformed vessels in CT images using an angiographic image acquired preoperatively under natural respiration and preoperative CT images. We implemented the registration algorithm and applied it to patient data. As a result, we confirmed that the vessels in CT images were correctly deformed, and a position error was two pixels in the median value.
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This study was supported by JKA in part.
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Suganuma, S., Takano, Y., Ohnishi, T., Kato, H., Ooka, Y., Haneishi, H. (2014). Three-Dimensional Respiratory Deformation Processing for CT Vessel Images Using Angiographic Images. In: Yoshida, H., Näppi, J., Saini, S. (eds) Abdominal Imaging. Computational and Clinical Applications. ABD-MICCAI 2014. Lecture Notes in Computer Science(), vol 8676. Springer, Cham. https://doi.org/10.1007/978-3-319-13692-9_25
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DOI: https://doi.org/10.1007/978-3-319-13692-9_25
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