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Semi-Automatic Detection of Scoliotic Rib Borders Using Chest Radiographs

机译:使用胸部射线照相的半自动检测微杆菌肋骨边框

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Stereoradiography is a well known technique to obtain 3D reconstructions of the rib cage. However, clinical applications are limited by the associated 2D rib detection method. Either this detection is widely supervised and time-consuming for the user, or it is fully automatic and not accurate enough for proper 3D reconstruction or clinical indices extraction. To address these issues, we propose a novel, semi-automated technique for detecting scoliotic rib borders in PA-0 deg and PA-20 deg chest X-ray images, using a modified edge-following approach. The novelty consists in following multiple promising edges simultaneously. Detections are initiated from starting points (input by the user) along the upper and lower rib edges and the final rib border is obtained by finding the most parallel pair among the detected edges. Promising results show the superiority of this approach over classical rib detection in terms of accuracy. Moreover, the proposed method is of great relevancy in the scoliotic context since scoliotic ribs present very few shape priors, due to their irregularities, and hence, standard rib detection techniques become unsuitable.
机译:立体图是一种众所周知的技术,用于获得肋骨的3D重建。然而,临床应用受相关的2D肋检测方法的限制。这种检测广泛监督和对用户耗费耗时,或者它是完全自动的,并且对于适当的3D重建或临床指标提取不够准确。为了解决这些问题,我们提出了一种新的半自动技术,用于使用改进的边缘接近检测PA-0 DEG和PA-20 Deg胸X射线图像中的脊髓肋骨边框。新颖性同时包括以下多个有前途的边缘。沿着上部和下肋边缘从起始点(用户输入)开始检测,并且通过在检测到的边缘中找到最平行的对来获得最终肋边缘。有希望的结果在准确性方面表明了这种方法的优越性。此外,所提出的方法在脊柱类上下文中具有很大的相关性,因为由于它们的不规则性,脊生肋具有很少的形状前导,因此,标准肋检测技术变得不适合。

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