Lumbar spine posterior corner detection in X-rays using Haar-based features
Communication avec acte
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 study is to develop a method to extract automatically the accurate position of lumbar vertebrae posterior corners. In the proposed method we select corner point candidates from an initial edge map. A dedicated pipeline is designed to discard unwanted candidates, involving polyline simplification, curvature thresholding and multiscale Haar filtering. Ultimately, we use a priori knowledge derived from an initial 3D spine model to define search areas and select the final corner points. The framework was tested on 21 biplanar X-rays from scoliotic children. Corner positions are compared with manual selections by two experts. The results report a localization accuracy between 0.7 and 1.6 mm, comparable to manual expert variability.
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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 ...
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 ...
Communication avec acteYANG, Zixin; SKALLI, Wafa; VERGARI, Claudio; ANGELINI, Elsa; GAJNY, Laurent (Springer International Publishing, 2019)Manually annotating medical images with few landmarks to initialize 3D shape models is a common practice. For instance, when reconstructing the 3D spine from biplanar X-rays, the spinal midline, passing through vertebrae ...