首页> 外文期刊>Computerized Medical Imaging and Graphics: The Official Jounal of the Computerized Medical Imaging Society >Evaluation of osteoporosis in X-ray CT examination: a preliminary study for an automatic recognition algorithm for the central part of a vertebral body using abdominal X-ray CT images.
【24h】

Evaluation of osteoporosis in X-ray CT examination: a preliminary study for an automatic recognition algorithm for the central part of a vertebral body using abdominal X-ray CT images.

机译:在X射线CT检查中评估骨质疏松症:使用腹部X射线CT图像对椎体中央部分自动识别算法的初步研究。

获取原文
获取原文并翻译 | 示例
       

摘要

We have developed an algorithm that can distinguish the central part of the vertebral body from abdominal X-ray CT images to determine whether it is possible to aid a diagnosis of osteoporosis. We classified three measures for the principal component analysis and linear discriminant function. When we judged whether patients had osteoporosis or not, the ratio usable for diagnosing osteoporosis (sensitivity) was 1.00 (15/15), and for diagnosing as normal (specificity) was 0.64 (7/11). We believe that this algorithm can be used to aid in diagnosing osteoporosis, utilizing the measures obtained from the CT images.
机译:我们已经开发出一种算法,可以从腹部X射线CT图像中区分出椎体的中央部分,以确定是否有可能帮助诊断骨质疏松症。我们对主成分分析和线性判别函数进行了三种测量。当我们判断患者是否患有骨质疏松症时,可用于诊断骨质疏松症(敏感性)的比率为1.00(15/15),用于诊断正常(特异性)的比率为0.64(7/11)。我们相信,利用从CT图像获得的测量结果,该算法可用于辅助诊断骨质疏松症。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号