期刊
2016 IEEE 13TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI)
卷 -, 期 -, 页码 180-183出版社
IEEE
DOI: 10.1109/ISBI.2016.7493239
关键词
Spine; 3D reconstruction; Biplanar X-rays; Haar filtering; Corner detection; Vertebrae segmentation
3D reconstruction of the spine using biplanar X-rays remains approximate and sometimes 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 0.6 mm and 1.4 mm, comparable to manual expert variability.
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