首页> 外文会议>International conference on computer vision and graphics >Lytic Region Recognition in Hip Radiograms by Means of Statistical Dominance Transform
【24h】

Lytic Region Recognition in Hip Radiograms by Means of Statistical Dominance Transform

机译:基于统计优势变换的髋部放射线图中的韵律区识别

获取原文

摘要

Total hip replacement is the accepted treatment procedure of the end stage degeneration of the hip joint. Instability of the prosthesis might be recognized on the radiographic images as area of bone radio -lucency adjacent to the prosthesis pin. However, the very important issue of radiological recognition of periprosthetic lucent areas reflecting the lysis remains a challenge. Small dimensions and fuzzy borders of the lytic areas makes them difficult regions to recognize. Additional factors as high BMI of the patients and/or radiograms taken through a mattress can make the evaluation even more difficult, while small lucent areas might be additionally blurred and of very low contrast. The paper presents a new approach for quantitative recognition of preprothetic lytic areas. We have proposed a multistep algorithm utilizing Statistical Dominance Transform for detection of lytic areas on digital radiograms. Preliminary results are quite promising. It was demonstrated that location and shape of the detected lytic region is in good agreement with assessment by radiologists.
机译:全髋关节置换是髋关节终末期变性的公认治疗方法。假体的不稳定性可以在放射线图像上被识别为与假体销相邻的骨放射线透明区域。但是,反映裂解的假体周围透亮区域的放射学识别这一非常重要的问题仍然是一个挑战。裂解区域的小尺寸和模糊边界使它们难以识别。病人的高BMI和/或通过床垫拍摄的X线照片等其他因素可能会使评估更加困难,而小的透光区域可能会另外变得模糊并且对比度非常低。本文提出了一种新的方法来定量识别前修复的溶解区域。我们提出了一种利用统计优势变换的多步算法来检测数字射线图上的裂解区域。初步结果很有希望。结果表明,检测到的裂解区域的位置和形状与放射科医生的评估非常吻合。

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