A robust technique for 2D-3D registration.
A robust 2D-3D registration method with a wide capture range is presented. The method registers pre-operatively collected 3D computed tomography (CT) data sets of a single bone fragment to its intra-operative fluoroscope images. The registration technique relies on hardware rendering of CT data on consumer-grade graphics cards to generate digitally reconstructed radiographs (DRRs) in real time. We also employ unscented Kalman filter to solve for the non-linear dynamics governing this 2D-3D registration problem. The method is validated on phantom models of three different anatomies, namely scaphoid, pelvis and femur. We show that, under the same testing conditions, our proposed technique outperforms the conventional simplex-based method in capture range and robustness while providing comparable accuracy and computation time.
Gong
Ren Hui
RH
School of Computering, Queen's University, Kingston, Ontario K7L 3N6, Canada. rhgong@cs.queensu.ca
Abolmaesumi
Purang
P
Stewart
James
J
D000465:Algorithms; D021621:Imaging, Three-Dimensional / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D019047:Phantoms, Imaging; D011856:Radiographic Image Enhancement / Q000379:methods*; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique; D014057:Tomography, X-Ray Computed / Q000295:instrumentation / Q000379:methods*