HIGH-RESOLUTION, FAT-SUPPRESSED, DIFFUSION-WEIGHTED MRI OF THE BREAST

高分辨率、脂肪抑制、扩散加权乳房 MRI

• 批准号: 8362918
• 负责人: JOHANNES D VELDHUIS
• 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/8362918
• 关键词: Annual Reports; Brain; Breast; Diffusion; Diffusion Magnetic Resonance Imaging; Diffusion weighted imaging; Fatty acid glycerol esters; Funding; Grant; Image; Magnetic Resonance; Magnetic Resonance Imaging; Motion; National Center for Research Resources; Positron-Emission Tomography; Principal Investigator; Reading; Relative (related person); Research; Research Infrastructure; Resolution; Resources; Screening procedure; Source; Techniques; Technology; Time; United States National Institutes of Health; Visit; Weight; abstracting; cost; density; design; healthy volunteer; saturated fat

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. For breast MRI, with increasing resolution the readout time for conventional single-shot MR lengthens to the point that blurring and geometric distortions impair image acquisition. The strong gradients needed for diffusion-weighting (DW) worsen this problem. Parallel imaging can partially reduce these distortions, which was recently shown for breast MRI, using ASSET. Another approach is to use a multishot technique, such as SNAILS: a fat-saturated twice-refocused spin echo sequence with an analytically designed interleaved variable-density spiral readout trajectory, which has been applied successfully to high-resolution DWI in the brain. We assess its technical feasibility in the body, for breast MRI, and compare it to ASSET-DW-EPI in healthy volunteers to show ASSET-EPI and SNAILS diffusion-weighted images. Even with ASSET, DW-EPI was not possible at a 256x256 matrix size. SNAILS allowed distortion free acquisition of 256x256 resolution images. In addition, the high resolution and relative insensitivity to motion of SNAILS, allowed for high quality multiplanar reformats with the 'PET-like' contrast-reversal now popular in DWI screening studies. To read about other projects ongoing at the Lucas Center, please visit http://rsl.stanford.edu/ (Lucas Annual Report and ISMRM 2011 Abstracts)

该子项目是利用资源的众多研究子项目之一 由 NIH/NCRR 资助的中心拨款提供。子项目的主要支持 并且子项目的主要研究者可能是由其他来源提供的， 包括其他 NIH 来源。 子项目可能列出的总成本 代表子项目使用的中心基础设施的估计数量， NCRR 赠款不直接向子项目或子项目工作人员提供资金。 对于乳腺 MRI，随着分辨率的提高，传统单次 MR 的读出时间会延长到 模糊和几何扭曲会影响图像采集。扩散加权 (DW) 所需的强梯度 使这个问题恶化。并行成像可以部分减少这些扭曲，最近在乳腺 MRI 中得到了证明， 使用资产。另一种方法是使用多重发射技术，例如 SNAILS：脂肪饱和的两次重新聚焦自旋回波 具有经过分析设计的交错可变密度螺旋读出轨迹的序列，该轨迹已被应用 成功地在大脑中进行高分辨率 DWI。我们评估其在体内的乳腺 MRI 技术可行性，并进行比较 将其传输到健康志愿者的 ASSET-DW-EPI，以显示 ASSET-EPI 和 SNAILS 扩散加权图像。 即使使用 ASSET，DW-EPI 也无法在 256x256 矩阵大小下实现。 SNAILS 允许无失真地采集 256x256 分辨率的图像。此外，蜗牛的高分辨率和对运动的相对不敏感性，允许高 使用目前在 DWI 筛查研究中流行的“类似 PET”对比反转来实现高质量的多平面重新格式化。 要了解卢卡斯中心正在进行的其他项目，请访问 http://rsl.stanford.edu/（卢卡斯年度报告和 ISMRM 2011 摘要）