An Algorithm for Tracking Microcatheters in Fluoroscopy |
| |
Authors: | Akihiro Takemura Kenneth R Hoffmann Masayuki Suzuki Zhou Wang Hussain S Rangwala Hajime Harauchi Stephen Rudin Tokuo Umeda |
| |
Institution: | (1) School of Health Sciences, Faculty of Medicine, Kanazawa University, 5-11-80 Kodatsuno, Kanazawa 920-0942, Japan;(2) Toshiba Stroke Research Center, University at Buffalo (SUNY), 3435 Main St., Buffalo, NY 14214, USA;(3) Roswell Park Cancer Institute, Elm & Carlton St., Buffalo, NY 14263, USA;(4) Department of Radiological Technology, Kawasaki College of Allied Health Professions, 316 Matsushima, Kurashiki, Okayama 701-0194, Japan;(5) School of Allied Health Sciences, Kitasato University, 1-15-1 Kitasato, Sagamihara Kanagawa, 228-8555, Japan |
| |
Abstract: | Currently, a large number of endovascular interventions are performed for treatment of intracranial aneurysms. For these treatments,
correct positioning of microcatheter tips, microguide wire tips, or coils is essential. Techniques to detect such devices
may facilitate endovascular interventions. In this paper, we describe an algorithm for tracking of microcatheter tips during
fluoroscopically guided neuroendovascular interventions. A sequence of fluoroscopic images (1,024 × 1,024 × 12 bits) was acquired
using a C-arm angiography system as a microcatheter was passed through a carotid phantom which was on top of a head phantom.
The carotid phantom was a silicone cylinder containing a simulated vessel with the shape and curvatures of the internal carotid
artery. The head phantom consisted of a human skull and tissue-equivalent material. To detect the microcatheter in a given
fluoroscopic frame, a background image consisting of an average of the four previous frames is subtracted from the current
frame, the resulting image is filtered using a matched filter, and the position of maximum intensity in the filtered image
is taken as the catheter tip position in the current frame. The distance between the tracked position and the correct position
(error distance) was measured in each of the fluoroscopic images. The mean and standard deviation of the error distance values
were 0.277 mm (1.59 pixels) and 0.26 mm (1.5 pixels), respectively. The error distance was less than 3 pixels in the 93.0%
frames. Although the algorithm intermittently failed to correctly detect the catheter, the algorithm recovered the catheter
in subsequent frames. |
| |
Keywords: | Catheter motion tracking vascular intervention fluorography cerebral artery image subtraction microcatheter navigation system |
本文献已被 SpringerLink 等数据库收录! |
|