论文标题
脊柱脊柱侧弯评估的椎骨里程碑式检测
Vertebra-Focused Landmark Detection for Scoliosis Assessment
论文作者
论文摘要
青少年特发性脊柱侧弯(AIS)是一种终生疾病,发生在儿童中。脊柱侧弯的COBB角度的准确估计对于临床医生做出诊断和治疗决策至关重要。根据椎骨地标测量COBB角度。现有的基于回归的椎骨里程碑检测方法通常会遭受较大的密集映射参数和不准确的地标定位。基于分割的方法倾向于预测已连接或损坏的椎骨面罩。在本文中,我们提出了一种新颖的以椎骨为中心的地标检测方法。我们的模型首先将椎骨中心定位为基础,然后将其跟踪椎骨的四个角落标记,通过学习的角偏置。这样,我们的方法可以保留地标的顺序。比较结果证明了我们方法在低对比度和模棱两可的X射线图像上的COBB角度测量和具有里程碑意义的检测中的优点。代码可在:\ url {https://github.com/yijingru/vertebra-landmark-detection}中获得。
Adolescent idiopathic scoliosis (AIS) is a lifetime disease that arises in children. Accurate estimation of Cobb angles of the scoliosis is essential for clinicians to make diagnosis and treatment decisions. The Cobb angles are measured according to the vertebrae landmarks. Existing regression-based methods for the vertebra landmark detection typically suffer from large dense mapping parameters and inaccurate landmark localization. The segmentation-based methods tend to predict connected or corrupted vertebra masks. In this paper, we propose a novel vertebra-focused landmark detection method. Our model first localizes the vertebra centers, based on which it then traces the four corner landmarks of the vertebra through the learned corner offset. In this way, our method is able to keep the order of the landmarks. The comparison results demonstrate the merits of our method in both Cobb angle measurement and landmark detection on low-contrast and ambiguous X-ray images. Code is available at: \url{https://github.com/yijingru/Vertebra-Landmark-Detection}.