• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice >Texture-based approaches for identifying neuro-anatomical structures and electrode tracks.
【24h】

Texture-based approaches for identifying neuro-anatomical structures and electrode tracks.

机译：基于纹理的识别神经解剖结构和电极轨迹的方法。

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

An automated approach to identifying electrode tracks and neuro-anatomical structures (nuclei) was developed using texture attributes of their neuro-anatomical stains. The properties that make up the texture features of the nuclei include size, shape and distribution of elemental structures. The electrode tracks are characterized by elongated darkened formations due to gliosis. Based on a Gabor wavelet transform, a texture feature vector was constructed, consisting of localized texture energies along different orientations at different scales. Stained images of brainstem sections in the vestibular nuclei were segmented using partitional clustering in feature space. A metric that computes the location of the tracks relative to the nuclei centers was then implemented. This methodology should be useful for quantifying and automating the procedure by which tracks are localized in anatomical structures.
机译：利用其神经解剖斑的纹理属性，开发了一种自动识别电极轨迹和神经解剖结构（核）的方法。组成原子核纹理特征的属性包括元素结构的大小，形状和分布。电极迹线的特征在于由于胶质增生而拉长的深色结构。基于Gabor小波变换，构造了纹理特征向量，其由沿着不同方向，不同比例的局部纹理能量组成。使用特征空间中的分区聚类对前庭核脑干切片的染色图像进行分割。然后实施了一种计算轨道相对于原子核中心位置的度量。这种方法对于量化和自动化在解剖结构中定位轨迹的过程应该是有用的。

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