...
首页> 外文期刊>NeuroImage: Clinical >Using longitudinal metamorphosis to examine ischemic stroke lesion dynamics on perfusion-weighted images and in relation to final outcome on T2-w images
【24h】

Using longitudinal metamorphosis to examine ischemic stroke lesion dynamics on perfusion-weighted images and in relation to final outcome on T2-w images

机译:使用纵向变形来检查灌注加权图像上的缺血性卒中病变动态以及与T2-w图像最终结果的关系

获取原文
           

摘要

We extend the image-to-image metamorphosis into constrained longitudinal metamorphosis. We apply it to estimate an evolution scenario, in patients with acute ischemic stroke, of both scattered and solitary ischemic lesions visible on serial MR perfusion weighted imaging from acute to subacute stages. We then estimate a patient-specific residual map that enables us to capture the most relevant shape and intensity changes, continuously, as the lesion evolves from acute through subacute to chronic timepoints until merging into the final image. We detect areas with high residuals (i.e., high dynamics) and identify areas that became part of the final T2-w lesion obtained at ≥1month after stroke. This allows the investigation of the dynamic influence of perfusion values on the final lesion outcome as seen on T2-w imaging. The model provides detailed insights into stroke lesion dynamic evolution in space and time that will help identify factors that determine final outcome and identify targets for interventions to improve outcome. Highlights ? Development of longitudinal metamorphosis that goes exactly through the observations ? Tracking the 4D evolution of stroke lesions in both shape and intensity ? Estimation of signed residual maps and exploring their relation to final T2-w lesion.
机译:我们将图像到图像的变形扩展为受约束的纵向变形。我们将其用于评估急性缺血性卒中患者在连续MR灌注加权成像从急性到亚急性阶段可见的散在性和孤立性缺血性病变的演变情况。然后,我们估计一个特定于患者的残差图,使我们能够连续捕获最相关的形状和强度变化,因为病变从急性到亚急性发展到慢性,直至合并为最终图像。我们检测出残留量高(即动态性高)的区域,并识别出成为卒中后≥1个月获得的最终T2-w病变一部分的区域。这样可以研究灌注值对最终病变结局的动态影响,如T2-w成像所见。该模型提供了关于中风病变在空间和时间上动态演变的详细见解,这将有助于确定决定最终结果的因素,并确定干预措施以改善结果。强调 ?纵向变形的发展正好通过观察得出?在形状和强度上追踪中风病灶的4D演变?估计签名残差图,并探讨其与最终T2-w病变的关系。

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