title: Temporal estimation of the 3d guide-wire position using 2d X-ray images.
abstract: We present a method for realtime online 3d reconstruction of a guide-wire or catheter using 2d X-ray images, which do not have to be recorded from different viewpoints. No special catheters or sensors are needed. Given a 3d patient data set and the projection parameters, we use recursive probability density propagation to estimate a probability distribution of the current positions of guide-wire parts. Based on this distribution, we extract the optimal guide-wire position using regularization techniques. We describe the guide-wire position by a uniform cubic B-spline. Experiments on simulated and phantom data demonstrate the high accuracy and robustness of our approach.
authors.affiliation: Chair of Computer Vision, Friedrich Schiller University of Jena, Germany. marcel.brueckner@uni-jena.de
authors.forename: Marcel
authors.initials: M
authors.lastname: Brückner
authors.forename: Frank
authors.initials: F
authors.lastname: Deinzer
authors.forename: Joachim
authors.initials: J
authors.lastname: Denzler
mesh_terms: D000465:Algorithms; D000792:Angiography / Q000379:methods*; D001807:Blood Vessel Prosthesis; D004621:Embolization, Therapeutic / Q000295:instrumentation*; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D019919:Prosthesis Implantation / Q000379:methods; D011856:Radiographic Image Enhancement / Q000379:methods; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014057:Tomography, X-Ray Computed / Q000379:methods*