Motion-immune neuro and body MRI for challenging patient populations

针对具有挑战性的患者群体的运动免疫神经和身体 MRI

• 批准号: 8822404
• 负责人: NAN-KUEI CHEN
• 金额: $ 19.63万
• 依托单位: DUKE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-25 至 2016-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8822404
• 关键词: 10 year old; 20 year old; 8 year old; Abdomen; Address; Anatomy; Anesthesia procedures; Area; Breathing; Child; Clinical; Data; Development; Diagnostic; Diffusion weighted imaging; Elderly; Evaluation; Excision; Frequencies; Head; Healthcare Systems; Image; Imaging Techniques; Immune; Impaired cognition; Lead; Lesion; Location; MRI Scans; Magnetic Resonance Imaging; Measurement; Methods; Morphologic artifacts; Motion; Movement; Noise; Parkinson Disease; Patients; Pattern; Performance; Phase; Physiologic pulse; Play; Population; Positioning Attribute; Predisposition; Procedures; Process; Protocols documentation; Radial; Real-Time Systems; Reproducibility; Resolution; Respiration; Role; Sampling; Scanning; Sedation procedure; Signal Transduction; Slice; Speed; Techniques; Technology; Testing; Time; Translating; Tremor; Update; Validation; Variant; Weight; Work; base; clinical Diagnosis; clinical application; cost; data acquisition; data space; economic impact; healthy volunteer; imaging modality; improved; neuroimaging; new technology; novel strategies; parallel computer; patient population; public health relevance; reconstruction; respiratory; sensor; success; volunteer; young adult

DESCRIPTION (provided by applicant): Here we propose a plan to develop and integrate novel strategies to effectively eliminate motion-related artifact, which is the major bottleneck in achieving high-quality clinical MRI for challenging patient populations such as children, tremor-dominant Parkinson's patients and seriously ill patients among others. The impact of our project is expected to be immediate and significant across multiple clinical areas. For example, 1) for abdominal MR imaging, the proposed methods enable free-breathing data acquisition of high-quality and high- resolution MRI even when the respiratory frequency changes significantly over time; 2) for neuro MRI, our strategies make it possible to achieve high-quality imaging even when subjects have continual intra-scan head tremor (e.g., Parkinson's patients). The proposed motion-immune MRI strategies are novel, and superior to existing approaches in multiple ways. First, our motion artifact correction technique can more effectively address nonlinear and local motions (e.g., in free-breathing abdominal MRI), which have been limitations for existing methods that rely on either low-resolution navigator echo signals or external non-MRI based motion measurement (e.g., with infra-red sensors). Second, our method can address motion-related artifacts of different time scales (e.g., ranging from ~ 3 Hz head tremor to infrequent intra-scan movement), which may not always be corrected by methods that rely on real-time system updating (e.g., dynamically changing the slice location after 1 or 2 TRs). Third, our approach can be applied to both Cartesian and non-Cartesian imaging pulse sequences, and thus can be translated to various clinical applications more easily and quickly than methods only applicable to non-Cartesian imaging (e.g., radial-sampling; PROPELLER imaging). Fourth, our integrated technique can simultaneously and effectively address multiple forms of motion-related artifacts, ranging from phase errors in multi-shot diffusion-weighted imaging to signal loss due to large-scale position changes. Our motion-immune MRI is achieved through uniquely integrating and optimizing two novel approaches: 1) aliasing-artifact removal with multiplexed sensitivity encoding (MUSE), and 2) motion-immune structural MRI based on repeated k-t-subsampling and artifact-minimization (REKAM). We plan to build motion-immune MRI methods, and assess the developed methods in healthy volunteers and two challenging populations: un-sedated children and tremor-dominant Parkinson's patients.

描述（由申请人提供）：在这里，我们提出了一个计划，以开发和整合新的策略，以有效地消除运动相关的伪影，这是主要的瓶颈， 实现高质量的临床MRI，用于具有挑战性的患者人群，如儿童，震颤主导型帕金森病患者和重病患者等。我们项目的影响预计将在多个临床领域立即产生重大影响。例如，1）对于腹部MR成像，所提出的方法即使在呼吸频率随时间显著变化时也能够实现高质量和高分辨率MRI的自由呼吸数据采集; 2）对于神经MRI，我们的策略即使在受试者具有连续的扫描内头部震颤（例如，帕金森病患者）。所提出的运动免疫MRI策略是新颖的，并且在多个方面上级现有方法。首先，我们的运动伪影校正技术可以更有效地解决非线性和局部运动（例如，在自由呼吸腹部MRI中），这对于依赖于低分辨率导航回波信号或基于外部非MRI的运动测量（例如，带有红外传感器）。其次，我们的方法可以解决不同时间尺度的运动相关伪影（例如，范围从~ 3 Hz头部震颤到不频繁的扫描内移动），这可能不总是通过依赖于实时系统更新的方法来校正（例如，在1或2个TR之后动态改变切片位置）。第三，我们的方法可以应用于笛卡尔和非笛卡尔成像脉冲序列两者，并且因此可以比仅适用于非笛卡尔成像的方法更容易和快速地转换到各种临床应用（例如，径向取样; PROPELLER成像）。第四，我们的集成技术可以同时有效地解决多种形式的运动相关伪影，从多激发扩散加权成像中的相位误差到由于大规模位置变化而导致的信号丢失。我们的运动免疫MRI是通过独特地集成和优化两种新的方法来实现的：1）使用多路敏感性编码（MUSE）消除混叠伪影，以及2）基于重复k-t子采样和伪影最小化（REKAM）的运动免疫结构MRI。我们计划建立运动免疫MRI方法，并在健康志愿者和两个具有挑战性的人群中评估所开发的方法：未服用镇静剂的儿童和震颤显性帕金森病患者。