Predicting error in point-based registration
Predicting error in point-based registration
| Hi-index | 0.00 |
Before an image registration method can be used in the medical theater a rigorous performance assessment of the registration method must be performed. In this paper, a new image database with a reference-based standardized evaluation methodology for objective evaluation and comparison of 3D/2D registration methods has been introduced. CT images of a female from the Visible Human Project® were used and 15 subvolumes each containing one of the vertebrae T3-T12 and L1-L5, and the pelvis were defined. Three pairs of lateral and anterior-posterior 2D fluoroscopic X-ray images were rendered from the CT data. Ray-casting algorithm with an energy conversion function was used to generate realistic fluoroscopic-like DRR images. Furthermore, outliers similar to medical intervention tools were also simulated on the 2D images. The assessment protocol to evaluate four criteria: accuracy, reliability, robustness and algorithm complexity, was defined. The proposed image database with the standardized evaluation methodology comprising ground truth registrations, displacements from the ground truth and target points is available upon request from the authors.