首页> 外文会议>2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro >Construction and evaluation of a quantitative arterial spin labeling brain perfusion template at 3T
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Construction and evaluation of a quantitative arterial spin labeling brain perfusion template at 3T

机译:3T定量自旋标记脑灌注模板的构建与评价

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Arterial spin labeling (ASL) allows non-invasive imaging and quantification of brain perfusion by magnetically labeling blood in the brain-feeding arteries. ASL has been used to study cerebrovascular diseases, brain tumors and neurodegenerative disorders as well as for functional imaging. The use of a perfusion template could be of great interest to study inter-subject regional variation of perfusion and to perform automatic detection of individual perfusion abnormalities. However, low spatial resolution and partial volume effects (PVE) issues inherent to ASL acquisitions remain to be solved. The purpose of this study is to enhance the template quality by using DARTEL non-rigid registration and by correcting for PVE. PICORE-Q2TIPS ASL datasets were acquired on 25 healthy volunteers at 3T. Four methods of creating the template were evaluated using leave-one-out cross correlation. Subsequently, these methods were applied to hyper-perfusion detection on functional ASL data of 8 healthy volunteers and compared with the standard generalized linear model (GLM) activation detection.
机译:动脉自旋标记(ASL)可以通过磁性标记大脑供血动脉中的血液来进行非侵入性成像和定量脑灌注。 ASL已用于研究脑血管疾病,脑瘤和神经退行性疾病以及功能成像。灌注模板的使用可能对研究受试者间灌注区域间的差异以及对单个灌注异常进行自动检测非常感兴趣。但是,ASL采集固有的低空间分辨率和部分体积效应(PVE)问题仍有待解决。这项研究的目的是通过使用DARTEL非刚性配准和对PVE进行校正来提高模板质量。 PICORE-Q2TIPS ASL数据集来自3T的25名健康志愿者。使用留一法互相关评估了创建模板的四种方法。随后,将这些方法应用于8位健康志愿者的功能性ASL数据的高灌注检测,并与标准广义线性模型(GLM)激活检测进行了比较。

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