STEADY-STATE FREE PRECESSION DIFFUSION IMAGING USING 3D ROTATING SPIRALS

使用 3D 旋转螺旋进行稳态自由进动扩散成像

• 批准号: 8362916
• 负责人: JIAN ZHANG
• 金额: $ 1.95万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-04-01 至 2012-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8362916
• 关键词: Algorithms; Calibration; Data; Diffusion; Diffusion Magnetic Resonance Imaging; Funding; Grant; Image; Location; Magnetic Resonance; Methods; Morphologic artifacts; Motion; National Center for Research Resources; Phase; Principal Investigator; Reporting; Research; Research Infrastructure; Resources; Sampling; Scanning; Signal Transduction; Source; Techniques; Technology; Translating; United States National Institutes of Health; Weight; Work; base; cost; reconstruction; research study

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. Although signal in SSFP-DWI is composed of both spin echo and multiple stimulated echoes, experiments have shown that motion induced artifacts in SSFP-DWI can still be reduced by correcting navigated phase errors or averaging multiple DWI scans. In this work, we will present a SSFP 3D rotating spiral (3DRS) method for fast DWI and diffusion tensor imaging (DTI) acquisition, which is based on our previously reported 3D-SNAILS technique [1]. By combining SSFP-DWI and 3DRS readouts in this approach, high quality diffusion weighted volumes can be rapidly acquired with very high SNR efficiency and low sensitivity to motion artifacts. One key result of the proposed auto-calibrated kSPA algorithm is that the reconstruction kernel can be computed using calibration data acquired at any location. To accomplish that we only need to translate the surrounding sampling points to center at a set of grid points in the middle of the calibration region. We then repeat the reconstruction for each coil to form the final image similar to the GRAPPA algorithm.

该副本是利用资源的众多研究子项目之一 由NIH/NCRR资助的中心赠款提供。对该子弹的主要支持 而且，副投影的主要研究员可能是其他来源提供的 包括其他NIH来源。 列出的总费用可能 代表subproject使用的中心基础架构的估计量， NCRR赠款不直接向子弹或副本人员提供的直接资金。 尽管SSFP-DWI中的信号既由自旋回波和多个刺激回声组成，但实验表明 SSFP-DWI中运动引起的伪影仍可以通过纠正导航相误差或平均多个DWI来减少 扫描。在这项工作中，我们将提出一种用于快速DWI和扩散张量成像的SSFP 3D旋转螺旋（3DR）方法 （DTI）采集，它基于我们先前报道的3D-snails技术[1]。通过组合SSFP-DWI和3DR 在这种方法中，可以以非常高的SNR效率来迅速获取高质量扩散加权体积 对运动伪影的敏感性低。提议的自动校准的KSPA算法的一个关键结果是 可以使用在任何位置获取的校准数据来计算重建内核。为此，我们只需要 将周围的采样点转换为校准区中间的一组网格点的中心。然后我们 重复每个线圈的重建，以形成类似于Grappa算法的最终图像。