您的位置: 专家智库 > >

国家自然科学基金(60872102)

作品数:1 被引量:1H指数:1
发文基金:国家自然科学基金更多>>
相关领域:生物学更多>>

文献类型

  • 1篇期刊文章
  • 1篇学位论文

领域

  • 1篇生物学
  • 1篇自动化与计算...

主题

  • 1篇射线
  • 1篇自助
  • 1篇自助法
  • 1篇字典学习
  • 1篇降噪
  • 1篇光子
  • 1篇光子计数
  • 1篇SEPARA...
  • 1篇TARGET
  • 1篇X射线
  • 1篇FLUORE...
  • 1篇IMAGIN...
  • 1篇泊松
  • 1篇KG
  • 1篇ROUND

机构

  • 1篇上海交通大学

作者

  • 1篇郭哲

传媒

  • 1篇Journa...

年份

  • 1篇2016
  • 1篇2014
1 条 记 录,以下是 1-2
排序方式:
权重自助法(bootstrap)字典学习在低光子计数X射线光谱图像泊松降噪的应用
近年来,随着光谱成像技术的发展,X射线光谱图像不仅能够提供关于组织学、病理学等学科的结构和功能信息,从而也能够显示出在生物样本中的各种微量元素的空间分布位置情况,因此受到越来越多的医学成像领域内的研究者的重视。然而在对元...
郭哲
关键词:字典学习自助法
文献传递
Target-to-Background Separation for Spectral Unmixing in In-Vivo Fluorescence Imaging被引量:1
2014年
We present a novel fluorescence spectral unmixing based on target-to-background separation preprocessing, which effectively separates the multi-target fluorescence from all background autofluorescence(BF)without any hardware-based BF acquisition and tissue specific BF estimation. Specifically, we first enhance the intrinsic accumulation contrast in target-to-background fluorescence using h-dome transformation; then separate multi-target fluorescence areas from the background in sparse multispectral data utilizing kernel maximum autocorrelation factor analysis; we further use fast marching-based image inpainting method to patch up the removed target fluorescence areas and reconstruct the multispectral BF; with the BF matrix being subtracted from the original data, the multi-target fluorophores are easily unmixed from the subtracted data using multivariate curve resolution-alternating least squares method. In two preliminary in-vivo experiments, the proposed method demonstrated excellent performance to unmix multi-target fluorescences while other state-of-art unmixing methods failed to get desired results.
赵勇胡程彭金良秦斌杰
共1页<1>
聚类工具0