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Multi-Atlas Segmentation with Joint Label Fusion of Osteoporotic Vertebral Compression Fractures on CT

机译:骨质疏松症联合标记融合的多图谱分割   CT椎体压缩骨折

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摘要

The precise and accurate segmentation of the vertebral column is essential inthe diagnosis and treatment of various orthopedic, neurological, andoncological traumas and pathologies. Segmentation is especially challenging inthe presence of pathology such as vertebral compression fractures. In thispaper, we propose a method to produce segmentations for osteoporoticcompression fractured vertebrae by applying a multi-atlas joint label fusiontechnique for clinical CT images. A total of 170 thoracic and lumbar vertebraewere evaluated using atlases from five patients with varying degrees of spinaldegeneration. In an osteoporotic cohort of bundled atlases, registrationprovided an average Dice coefficient and mean absolute surface distance of2.7$\pm$4.5% and 0.32$\pm$0.13mm for osteoporotic vertebrae, respectively, and90.9$\pm$3.0% and 0.36$\pm$0.11mm for compression fractured vertebrae.
机译:脊柱的精确分割对于各种骨科,神经科和肿瘤科的创伤和病理的诊断和治疗至关重要。在存在诸如椎骨压缩性骨折等病理情况下,分割尤其具有挑战性。在本文中,我们提出了一种通过对临床CT图像应用多图谱联合标签融合技术来产生骨质疏松压缩性骨折椎骨分割的方法。使用来自五名不同程度脊柱退变患者的地图集,共评估了170例胸椎和腰椎。在捆绑的图集的骨质疏松队列中,注册提供了骨质疏松椎骨的平均Dice系数和平均绝对表面距离分别为2.7 $ \ pm $ 4.5%和0.32 $ \ pm $ 0.13mm,以及90.9 $ \ pm $ 3.0%和0.36 $ \ pm0.11毫米(压缩性椎骨骨折)。

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