MRI NEAR METALLIC IMPLANTS

金属植入物附近的 MRI

• 批准号: 7722886
• 负责人: WENXIAO LU
• 金额: $ 5.61万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-06-01 至 2009-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7722886
• 关键词: Computer Retrieval of Information on Scientific Projects Database; Diagnostic Imaging; Funding; Grant; Image; Implant; Institution; Knee; Magnetic Resonance Imaging; Methods; Morphologic artifacts; Patients; Population; Purpose; Research; Research Personnel; Resources; Scanning; Slice; Source; Techniques; Testing; Time; United States National Institutes of Health; Vertebral column; Work; magnetic field; time use; volunteer

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Purpose: Huge magnetic field distortions caused by the presence of metallic implants cause severe displacement artifacts in MR images, rendering MR almost useless in a patient population in need of diagnostic imaging. This project combines many techniques to enable MRI in this patient population. Methods: We have combined view-angle tilting (VAT), an existing method to correct in-plane image distortions with a slice-encoding technique that corrects the through-plane distortions. The technique demands scan times on the order of 10-20 minutes, and we are currently working to reduce this time using parallel imaging and partial k-space acquisitions. We have successfully tested our technique in volunteers with metallic knee and spine implants.

该子项目是利用该技术的众多研究子项目之一 资源由 NIH/NCRR 资助的中心拨款提供。子项目和 研究者 (PI) 可能已从 NIH 的另一个来源获得主要资金， 因此可以在其他 CRISP 条目中表示。列出的机构是 对于中心来说，它不一定是研究者的机构。 目的：金属植入物的存在引起的巨大磁场畸变会导致 MR 图像中出现严重的位移伪影，使得 MR 对于需要诊断成像的患者群体几乎毫无用处。 该项目结合了多种技术，在该患者群体中实现 MRI。 方法：我们将视角倾斜（VAT）（一种纠正平面内图像失真的现有方法）与纠正穿过平面失真的切片编码技术相结合。 该技术需要大约 10-20 分钟的扫描时间，我们目前正在努力使用并行成像和部分 k 空间采集来缩短扫描时间。 我们已经在使用金属膝盖和脊柱植入物的志愿者中成功测试了我们的技术。