Quasi-automated reconstruction of the femur from bi-planar X-rays
Article dans une revue avec comité de lecture
3D reconstruction from low-dose Bi-Planar X-Rays (BPXR) is a rising practice in clinical routine. However, this process is time consuming and highly depends on the user. This study aims to partially automate the process for the femur, thus decreasing reconstruction time and increasing robustness. As a training set, 50 femurs are segmented from CT scans together with 120 BPXR reconstructions. From this dataset, an initial solution for the bony contours is defined through Gaussian Process Regression (GPR), using eight digitized landmarks. This initial solution is projected on both x-rays and automatically adjusted using an adapted Minimal Path Algorithm (MPA). To evaluate this method, CT-scans were acquired from 20 cadaveric femurs. For each sample, the CTbased reconstruction is compared to the one automatically generated from the digitally reconstructed radiographs. Euclidean distances between femur reconstructions and the segmented CT data are on average 1.0 mm with a Root Mean Square Error (RMSE) of 0.8 mm. Femoral torsion errors are assessed: the bias is lower than 0.1° with a 95% confidence interval of 4.8°. The proposed method substantially improves 3D reconstructions from BPXR, as it enables a fast and reliable reconstruction, without the need for manual adjustments, which is essential in clinical routine.
Files in this item
Showing items related by title, author, creator and subject.
Vertebral corners detection on sagittal X-rays based on shape modelling, random forest classifiers and dedicated visual features Article dans une revue avec comité de lectureEBRAHIMI, Shahin; GAJNY, Laurent; SKALLI, Wafa; ANGELINI, Elsa (Taylor & Francis, 2018)Quantitative measurements of spine shape parameters on planar X-ray images is critical for clinical applications but remains tedious and with no fully-automated solution demonstrated on the whole spine. This study aims to ...
Quasi-automatic 3D reconstruction of the full spine from low-dose biplanar X-rays based on statistical inferences and image analysis Article dans une revue avec comité de lectureGAJNY, Laurent; EBRAHIMI, Shahin; VERGARI, Claudio; ANGELINI, Elsa; SKALLI, Wafa (Springer Verlag, 2018)Purpose: To design a quasi-automated three-dimensional reconstruction method of the spine from biplanar X-rays as the daily used method in clinical routine is based on manual adjustments of a trained operator and the ...
Communication avec acteEBRAHIMI, Shahin; ANGELINI, Elsa; GAJNY, Laurent; SKALLI, Wafa (IEEE, 2016)3D reconstruction of the spine using biplanar X-rays remains approximate and requires human-machine interactions to adjust the position of important features such as vertebral corners and endplates. The purpose of this ...
Vertebral rotation estimation from frontal X-rays using a quasi-automated pedicle detection method Article dans une revue avec comité de lectureEBRAHIMI, Shahin; GAJNY, Laurent; VERGARI, Claudio; ANGELINI, Elsa; SKALLI, Wafa (Springer Verlag, 2019)Purpose Measurement of vertebral axial rotation (VAR) is relevant for the assessment of scoliosis. Stokes method allows estimating VAR in frontal X-rays from the relative position of the pedicles and the vertebral body. ...
Automatic Segmentation and Identification of Spinous Processes on Sagittal X-Rays Based on Random Forest Classification and Dedicated Contextual Features Communication avec acteEBRAHIMI, Shahin; GAJNY, Laurent; SKALLI, Wafa; ANGELINI, Elsa D. (IEEE, 2019)X-ray based quantitative analysis of spine parameters is required in routine diagnosis or treatment planning. Existing tools commonly require manual intervention. Attempts towards automation of the whole procedure have ...