K-SPACE TIME APPROACH TO MOTION SUPPRESSION IN MRI

MRI 运动抑制的 K 空间时间方法

• 批准号: 6527491
• 负责人: Yi Wang
• 金额: $ 29.79万
• 依托单位: UNIVERSITY OF PITTSBURGH AT PITTSBURGH
• 依托单位国家: 美国
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-08-15 至 2004-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6527491
• 关键词: angiocardiography; bioimaging /biomedical imaging; clinical research; heart motion; human subject; image enhancement; magnetic resonance imaging; pulmonary respiration; swine; technology /technique development

DESCRIPTION (Verbatim from Applicant's Abstract): The broad objective of this research is to develop effective and efficient methods for suppressing motion artifacts in magnetic resonance imaging (MRI). A k-space time approach is proposed to allow systematic tracking of motion effects during image acquisition and to design effective methods for reducing motion effects in image data. The specific aims are: 1) Develop accurate motion measurement and correction; 2) Optimize view ordering; 3) Develop integrated methods to reduce effects of one-variable motion; and 4) Develop integrated methods to reduce effects of multi-variable motion. Motion artifacts are the most important factor limiting image quality in many MRI studies including cardiac MRI. Ghosting effects of motion have been fairly successfully suppressed with a combination of techniques, yet suppression of motion blurring continues to be elusive, limiting image resolution. This research develops the navigator strategy to reduce motion blurring. Complex physiological motions are decomposed into the global and local motion. Efficient k-space orbits sensitizing multiple components of the global motion are designed for navigator acquisition. The image effects of the global motion are measured and corrected using navigator echoes. The effects of the local motion are reduced through view ordering and gating. Correction, gating, and view ordering are synergistically integrated into image acquisition, overcoming their individual limitations and combining their individual advantages. This integrated approach will substantially improve both the effectiveness and efficiency of motion suppression in MRI. The developed motion suppression methods will be evaluated in coronary MR angiography for suppressing cardiac motion effects, respiratory motion effects, and both cardiac and respiratory motion effects simultaneously. Successful development of this research will result in motion resistant, high resolution, 3D coronary MR angiography.

描述（来自申请人摘要的逐字描述）： 研究的目的是开发有效的方法来抑制运动 磁共振成像（MRI）中的伪影。k时空方法是 提出允许在成像期间系统地跟踪运动效果， 获取和设计有效的方法，以减少运动的影响， 图像数据。 其具体目标是：1）发展精确的运动测量与校正技术; 2)优化视图排序; 3）开发综合方法以减少 单变量运动; 4）开发综合方法，以减少 多变量运动 运动伪影是在许多情况下限制图像质量的最重要因素。 MRI研究，包括心脏MRI。运动的重影效应已经相当 成功地抑制了技术的组合，但抑制 运动模糊仍然是难以理解的，限制了图像分辨率。这 研究开发了减少运动模糊的导航器策略。复杂 生理运动被分解为全局和局部运动。 使全局运动的多个分量敏感的有效k空间轨道 是为导航仪采集而设计的全局运动的图像效果 使用导航回波进行测量和校正。当地的影响 通过视图排序和选通来减少运动。纠正，门控，和 视图排序协同集成到图像采集中，克服了 他们各自的局限性和结合他们各自的优势。这 综合办法将大大提高效率， MRI中运动抑制的效率。 将在冠状动脉MR中评价所开发的运动抑制方法 用于抑制心脏运动效应、呼吸运动效应 并且同时影响心脏和呼吸运动。成功 这项研究的发展将导致抗运动，高分辨率， 3D冠状动脉MR血管成像。