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Computer-aided diagnosis for osteoporosis using chest 3D CT images

机译:使用胸部3D CT图像对骨质疏松症进行计算机辅助诊断

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The patients of osteoporosis comprised of about 13 million people in Japan and it is one of the problems the aging society has. In order to prevent the osteoporosis, it is necessary to do early detection and treatment. Multi-slice CT technology has been improving the three dimensional (3-D) image analysis with higher body axis resolution and shorter scan time. The 3-D image analysis using multi-slice CT images of thoracic vertebra can be used as a support to diagnose osteoporosis and at the same time can be used for lung cancer diagnosis which may lead to early detection. We develop automatic extraction and partitioning algorithm for spinal column by analyzing vertebral body structure, and the analysis algorithm of the vertebral body using shape analysis and a bone density measurement for the diagnosis of osteoporosis. Osteoporosis diagnosis support system obtained high extraction rate of the thoracic vertebral in both normal and low doses.
机译:在日本,骨质疏松症患者约有1300万人,这是老龄化社会面临的问题之一。为了预防骨质疏松,有必要尽早发现和治疗。多层CT技术以更高的机体轴分辨率和更短的扫描时间改善了三维(3-D)图像分析。使用胸椎的多层CT图像进行的3-D图像分析可以用作诊断骨质疏松症的支持,同时也可以用于肺癌诊断,这可能导致早期发现。我们通过分析椎体结构来开发自动提取和分配脊柱的算法,并通过形状分析和骨密度测量对椎体进行分析,以诊断骨质疏松症。骨质疏松症诊断支持系统在正常和低剂量下均可获得较高的胸椎提取率。

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