Improved methods for perfusion imaging

灌注成像的改进方法

• 批准号: 6985507
• 负责人: RACHEL D MCKINSEY
• 金额: $ 4.47万
• 依托单位: UNIVERSITY OF WISCONSIN-MADISON
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-09-01 至 2009-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6985507
• 关键词: age difference; aging; bioimaging /biomedical imaging; blood volume; brain circulation; cerebrovascular imaging /visualization; clinical research; dementia; gender difference; human middle age (35-64); human old age (65+); human subject; image enhancement; magnetic resonance imaging; patient oriented research; perfusion; predoctoral investigator; technology /technique development

DESCRIPTION (provided by applicant): Quantitative perfusion is primarily hampered by inaccuracies in measurements of cerebral blood volume (CBV). This is due to a combination of partial volume artifact and nonlinearity in the response to contrast agent concentration. Methods will be developed to obtain an independent whole brain measurement of CBV with a contrast infusion technique. We have recently purchased SENSE hardware and software for the MRI scanners at our institution so will modify the perfusion pulse sequence to take advantage of SENSE to reduce susceptibility artifacts in our images, Post-processing of blood flow and volume measurements will be developed using Statistical Parametric Mapping (SPM) techniques in normal subjects. Each subject's 3D cerebral blood flow (CBF) and CBV map will be coregistered to a common brain atlas, and a database of normal perfusion and blood volume will be compiled. Once these methods are implemented, these techniques will be extended to the study of patients with diagnosed dementias. Specifically, CBF and CBV will be compared to age and gender matched controls using both ROI and voxel by voxel statistical analyses such as SPM.

描述（由申请人提供）：定量灌注主要受到脑血体积（CBV）测量的不准确性的阻碍。这是由于部分体积伪影和非线性在对比度浓度的响应中的结合。将开发方法以通过对比度输注技术获得独立的CBV的全脑测量。最近，我们为机构的MRI扫描仪购买了感官硬件和软件，因此将修改灌注脉冲序列，以利用感官来减少图像中的易感性伪像，使用统计参数映射（SPM）在正常受试者中进行统计参数映射（SPM）技术，对血流进行后处理。每个受试者的3D脑血流量（CBF）和CBV图将与普通的大脑图片相关，并将编译正常灌注和血液体积的数据库。一旦实施了这些方法，这些技术将扩展到对诊断痴呆症患者的研究。具体而言，通过Voxel统计分析（例如SPM）将CBF和CBV与年龄和性别匹配的对照进行比较。