• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Conference on image processing >Automated Fat Measurement and Segmentation with Intensity Inhomogeneity Correction
【24h】

Automated Fat Measurement and Segmentation with Intensity Inhomogeneity Correction

机译：具有强度不均匀性校正的自动脂肪测量和分段

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Adipose tissue (AT) content, especially visceral AT (VAT), is an important indicator for risks of many disorders, including heart disease and diabetes. Fat measurement by traditional means is often inaccurate and cannot separate subcutaneous and visceral fat. MRI offers a medium to obtain accurate measurements and segmentation between subcutaneous and visceral fat. We present an approach to automatically label the voxels associated with adipose tissue and segment them between subcutaneous and visceral. Our method uses non-parametric non-uniform intensity normalization (N3) to correct for image artifacts and inhomogeneities, fuzzy c-means to cluster AT regions and active contour models to separate SAT and VAT. Our algorithm has four stages: body masking, preprocessing, SAT and VAT separation, and tissue classification and quantification. The method was validated against a manual method performed by two observers, which used thresholds and manual contours to separate SAT and VAT. We measured 25 patients, 22 of which were included in the final analysis and the other three had too much artifact for automated processing. For SAT and total AT, differences between manual and automatic measurements were comparable to manual inter-observer differences. VAT measurements showed more variance in the automated method, likely due to inaccurate contours.
机译：脂肪组织（AT）含量，特别是内脏（VAT），是许多疾病风险的重要指标，包括心脏病和糖尿病。通过传统方法的脂肪测量通常不准确，不能分开皮下和内脏脂肪。 MRI提供介质，以获得皮下和内脏脂肪之间的准确测量和细分。我们提出一种方法来自动标记与脂肪组织相关的体素并在皮下和内脏之间段。我们的方法使用非参数非均匀强度归一化（N3）来校正图像伪影和不均匀性，模糊C-Mance在区域和主动轮廓模型处簇聚集，以分离SAT和VAT。我们的算法有四个阶段：身体掩蔽，预处理，饱和和增值税分离，以及组织分类和量化。该方法针对由两个观察者执行的手动方法进行验证，该方法使用阈值和手动轮廓来分离SAT和VAT。我们测量了25例患者，其中22例包括在最终分析中，另外三个具有太多的自动化工件。对于SAT和总，手动和自动测量之间的差异与手动观察者间差异相当。 VAT测量显示在自动化方法中具有更多的差异，可能由于不准确的轮廓。

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