• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>SPIE Conference on Biomedical Applications in Molecular, Structural, and Functional Imaging >Comparison of dynamic susceptibility contrast-MRI perfusionquantification methods in the presence of delay anddispersion.
【24h】

Comparison of dynamic susceptibility contrast-MRI perfusionquantification methods in the presence of delay anddispersion.

机译：动态敏感性对比度对比度灌注序列化方法在延迟和分数存在下的存在。

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The perfusion of the brain is essential to maintain brain function. Stroke is an example of a decrease in blood flow and reduced perfusion. During ischemic stroke the blood flow to tissue is hampered due to a clot inside a vessel. To investigate the recovery of stroke patients, follow up studies are necessary. MRI is the preferred imaging modality for follow up because of the absence of radiation dose concerns, contrary to CT. Dynamic Susceptibility Contrast (DSC) MRI is an imaging technique used for measuring perfusion of the brain, however, is not standard applied in the clinical routine due to lack of immediate patient benefit. Several post processing algorithms are described in the literature to obtain cerebral blood flow (CBF). The quantification of CBF relies on the deconvolution of a tracer concentration-time curve in an arterial and a tissue voxel. There are several methods to obtain this deconvolution based on singular-value decomposition (SVD). This contribution describes a comparison between the different approaches as currently there is no best practice for (all) clinical relevant situations. We investigate the influence of tracer delay, dispersion and recirculation on the performance of the methods. In the presence of negative delays, the truncated SVD approach overestimates the CBF. Block-circulant and reformulated SVD are delay-independent. Due to its delay dependent behavior, the truncated SVD approach performs worse in the presence of dispersion as well. However all SVD approaches are dependent on the amount of dispersion. Moreover, we observe that the optimal truncation parameter varies when recirculation is added to noisy data, suggesting that, in practice, these methods are not immune to tracer recirculation. Finally, applying the methods to clinical data resulted in a large variability of the CBF estimates. Block-circulant SVD will work in all situations and is the method with the highest potential.
机译：大脑的灌注对于维持脑功能至关重要。中风是血流减少和降低灌注的一个例子。在缺血性中风期间，由于血管内部的凝块而阻碍了对组织的血液流动。为探讨卒中患者的回收，需要进行后续研究。由于没有辐射剂量令，MRI是后续的首选成像模态，与CT相反。动态敏感性对比度（DSC）MRI是用于测量大脑的灌注的成像技术，然而由于缺乏直接患者益处而不是在临床常规中应用的标准。在文献中描述了几种后处理算法以获得脑血流（CBF）。 CBF的定量依赖于动脉和组织体素中的示踪剂浓度 - 时间曲线的去折叠。基于奇异值分解（SVD），有几种方法可以获得这种碎片卷积。此贡献描述了当前不同方法之间的比较，没有最佳实践（全部）临床相关情况。我们调查跟踪延迟，分散和再循环对方法的性能的影响。在负延迟存在下，截短的SVD方法高估CBF。嵌段循环和重新制定的SVD是延迟无关的。由于其延迟依赖行为，截短的SVD方法在分散的情况下也表现得更差。然而，所有SVD方法都取决于分散量。此外，我们观察到最佳截断参数在添加到嘈杂的数据中时变化，表明，在实践中，这些方法不受跟踪再循环的免疫。最后，将方法应用于临床数据导致CBF估计的大变化。块循环SVD将在所有情况下工作，并且是具有最高潜力的方法。

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