title: Bronchoscope tracking based on image registration using multiple initial starting points estimated by motion prediction.
abstract: This paper presents a method for tracking a bronchoscope based on motion prediction and image registration from multiple initial starting points as a function of a bronchoscope navigation system. We try to improve performance of bronchoscope tracking based on image registration using multiple initial guesses estimated using motion prediction. This method basically tracks a bronchoscopic camera by image registration between real bronchoscopic images and virtual ones derived from CT images taken prior to the bronchoscopic examinations. As an initial guess for image registration, we use multiple starting points to avoid falling into local minima. These initial guesses are computed using the motion prediction results obtained from the Kalman filter's output. We applied the proposed method to nine pairs of X-ray CT images and real bronchoscopic video images. The experimental results showed significant performance in continuous tracking without using any positional sensors.
authors.affiliation: Graduate School of Information Science, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi, 464-8603, Japan. kensaku@is.nagoya-u.ac.jp
authors.forename: Kensaku
authors.initials: K
authors.lastname: Mori
authors.forename: Daisuke
authors.initials: D
authors.lastname: Deguchi
authors.forename: Takayuki
authors.initials: T
authors.lastname: Kitasaka
authors.forename: Yasuhito
authors.initials: Y
authors.lastname: Suenaga
authors.forename: Hirotsugu
authors.initials: H
authors.lastname: Takabatake
authors.forename: Masaki
authors.initials: M
authors.lastname: Mori
authors.forename: Hiroshi
authors.initials: H
authors.lastname: Natori
authors.forename: Calvin R
authors.initials: CR
authors.lastname: Maurer
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D001980:Bronchi / Q000033:anatomy & histology*; D001995:Bronchography / Q000379:methods; D001999:Bronchoscopy / Q000379:methods*; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D009068:Movement; D010363:Pattern Recognition, Automated / Q000379:methods; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique