首页> 美国卫生研究院文献>Computational and Mathematical Methods in Medicine >Spatiotemporal Dynamic Simulation of Acute Perfusion/Diffusion Ischemic Stroke Lesions Evolution: A Pilot Study Derived from Longitudinal MR Patient Data
【2h】

Spatiotemporal Dynamic Simulation of Acute Perfusion/Diffusion Ischemic Stroke Lesions Evolution: A Pilot Study Derived from Longitudinal MR Patient Data

机译:急性灌注/扩散性缺血性中风病变演变的时空动态模拟:一项基于纵向MR患者数据的先导研究

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

The spatiotemporal evolution of stroke lesions, from acute injury to final tissue damage, is complex. Diffusion-weighted (DWI) and perfusion-weighted (PWI) imaging is commonly used to detect early ischemic changes and attempts to distinguish between permanently damaged and salvageable tissues. To date, 2D and 3D measures of diffusion/perfusion regions at individual timepoints have been widely used but may underestimate the true lesion spatio-temporal dynamics. Currently there is no spatio-temporal 4D dynamic model that simulates the continuous evolution of ischemic stroke from MR images. We determined whether a 4D current-based diffeomorphic model, developed in the field of statistical modeling for measuring the variability of anatomical surfaces, could estimate patient-specific spatio-temporal continuous evolution for MR PWI (measured as mean transit time, (MTT)) and DWI lesions. In our representative pilot sample, the model fitted the data well. Our dynamic analysis of lesion evolution showed different patterns; for example, some DWI/PWI dynamic changes corresponded with DWI lesion expansion into PWI lesions, but other patterns were much more complex and diverse. There was wide variation in the time when the final tissue damage was reached after stroke for DWI and MTT.
机译:从急性损伤到最终的组织损伤,中风病变的时空演变是复杂的。弥散加权(DWI)和灌注加权(PWI)成像通常用于检测早期缺血性改变,并试图区分永久性受损组织和可挽救性组织。迄今为止,在各个时间点的扩散/灌注区域的2D和3D测量已被广泛使用,但可能低估了真正的病变时空动态。当前没有时空的4D动态模型来模拟MR图像对缺血性卒中的持续演变。我们确定了统计模型领域中开发的用于测量解剖表面变异性的基于4D电流的亚态模型是否可以估计MR PWI的患者特定时空连续演变(以平均通过时间(MTT)衡量)和DWI病变。在我们的代表性先导样本中,模型很好地拟合了数据。我们对病变演变的动态分析显示出不同的模式。例如,某些DWI / PWI动态变化与DWI病变扩展为PWI病变相对应,但其他模式则更为复杂和多样。对于DWI和MTT,卒中后达到最终组织损伤的时间差异很大。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

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