首页> 外文期刊>AJNR. American journal of neuroradiology >Peeking into the Black Box of Coregistration in Clinical fMRI: Which Registration Methods Are Used and How Well Do They Perform?
【24h】

Peeking into the Black Box of Coregistration in Clinical fMRI: Which Registration Methods Are Used and How Well Do They Perform?

机译:偷看临床FMRI中的黑匣子的核心试卷:使用哪种注册方法,他们的表现如何?

获取原文
获取原文并翻译 | 示例
       

摘要

This retrospective study of presurgical fMRI for brain tumors compares nonregistered images and 5 registration cost functions: Hellinger, mutual information, normalized mutual information, correlation ratio, and local Pearson correlation. To adjudicate the accuracy of coregistration, the authors edge-enhanced echo-planar maps and rated them for alignment with structural anatomy. The local Pearson correlation is a special-purpose cost function specifically designed for T2*-T1 coregistration and should be more widely incorporated into software tools as a better method for coregistration in clinical fMRI.
机译:这种回顾性研究脑肿瘤的预诊所FMRI比较非推荐图像和5个登记成本函数:Hellinger,互信息,归一化互信息,相关率和当地Pearson相关性。 裁定核心转化率的准确性,作者边缘增强的回声平面图和额定转向与结构解剖结构进行对齐。 本地Pearson相关性是专门设计用于T2 * -T1核心专利的专用成本函数,应更广泛地纳入软件工具中作为临床FMRI中的核心试卷方法。

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