首页> 外文会议>Computational Methods and Clinical Applications for Spine Imaging >Multi-atlas Segmentation with Joint Label Fusion of Osteoporotic Vertebral Compression Fractures on CT
【24h】

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

机译:CT联合评价骨质疏松椎体压缩性骨折的多图谱分割

获取原文
获取原文并翻译 | 示例

摘要

The precise and accurate segmentation of the vertebral column is essential in the diagnosis and treatment of various orthopedic, neurological, and oncological traumas and pathologies. Segmentation is especially challenging in the presence of pathology such as vertebral compression fractures. In this paper, we propose a method to produce segmentations for osteoporotic compression fractured vertebrae by applying a multi-atlas joint label fusion technique for clinical computed tomography (CT) images. A total of 170 thoracic and lumbar vertebrae were evaluated using atlases from five patients with varying degrees of spinal degeneration. In an osteoporotic cohort of bundled atlases, registration provided an average Dice coefficient and mean absolute surface distance of 92.7 ±4.5% and 0.32 ±0.13 mm for osteoporotic vertebrae, respectively, and 90.9 ±3.0% and 0.36 ±0.11 mm for compression fractured vertebrae.
机译:脊柱的精确分割对各种骨科,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将多图谱联合标签融合技术应用于临床计算机断层扫描(CT)图像来产生骨质疏松压缩性骨折椎骨的分割方法。使用来自五名不同程度的脊柱变性的患者的地图集,共评估了170个胸椎和腰椎。在捆绑的图集的骨质疏松队列中,配准提供的平均Dice系数和骨质疏松椎骨的平均Dice系数分别为92.7±4.5%和0.32±0.13 mm,而压缩性椎骨的平均Dice系数分别为90.9±3.0%和0.36±0.11 mm。

著录项

  • 来源
  • 会议地点 Munich(DE)
  • 作者单位

    Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, USA;

    Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, USA;

    Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, USA;

    Department of Radiological Sciences, University of California, Irvine School of Medicine, Irvine, USA;

    Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, USA;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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