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

基本信息

批准号：
8934098
负责人：
NAN-KUEI CHEN
金额：
$ 23.85万
依托单位：
DUKE UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2014
资助国家：
美国
起止时间：
2014-09-25 至 2018-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8934098
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 Magnetic Resonance Imaging Elderly Evaluation Excision Frequencies Head Health 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 reconstruction respiratory sensor success temporal measurement volunteer young adult

项目摘要

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，我们提出了一项开发和整合新颖策略的计划，以有效消除与运动相关的伪影，这是为儿童、震颤为主的帕金森病患者和重症患者等具有挑战性的患者群体实现高质量的临床 MRI。我们的项目预计将在多个临床领域产生直接且重大的影响。例如，1）对于腹部 MR 成像，即使呼吸频率随时间发生显着变化，所提出的方法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，即使受试者有持续的扫描内头部震颤（例如帕金森病患者），我们的策略也可以实现高质量成像。所提出的运动免疫 MRI 策略是新颖的，并且在多个方面优于现有方法。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），这对于依赖低分辨率导航回波信号或外部非 MRI 运动的现有方法来说是有限的测量（例如，使用红外传感器）。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，从约 3 Hz 的头部震颤到不频繁的扫描内运动），这些伪影可能并不总是可以通过依赖实时系统更新的方法来纠正（例如，，在 1 或 2 个 TR 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，因此可以比仅适用于非笛卡尔成像的方法（例如径向采样；PROPELLER 成像）更容易、更快速地转化为各种临床应用。。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，从多镜头扩散加权成像中的相位误差到大规模位置变化导致的信号丢失。我们的运动免疫 MRI 是通过独特地集成和优化两种新颖方法来实现的：1) 使用多路复用灵敏度编码 (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的运动免疫结构 MRI (REKAM) ）。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开发的方法：未服用镇静剂的儿童和震颤为主的帕金森病患者。

项目成果

期刊论文数量（4）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Efficient imaging of midbrain nuclei using inverse double-echo steady-state acquisition.

DOI：
10.1118/1.4922402
发表时间：
2015-07
期刊：
Medical physics
影响因子：
3.8
作者：
Ming-Long Wu;Hing-Chiu Chang;Tzu‐cheng Chao;N. Chen
通讯作者：
Ming-Long Wu;Hing-Chiu Chang;Tzu‐cheng Chao;N. Chen

Free-breathing abdominal MRI improved by repeated k-t-subsampling and artifact-minimization (ReKAM).

DOI：
10.1002/mp.12674
发表时间：
2018-01
期刊：
Medical physics
影响因子：
3.8
作者：
Chu ML;Chang HC;Chung HW;Bashir MR;Cai J;Zhang L;Sun D;Chen NK
通讯作者：
Chen NK

POCS-based reconstruction of multiplexed sensitivity encoded MRI (POCSMUSE): A general algorithm for reducing motion-related artifacts.

DOI：
10.1002/mrm.25527
发表时间：
2015-11
期刊：
MAGNETIC RESONANCE IN MEDICINE
影响因子：
3.3
作者：
Chu, Mei-Lan;Chang, Hing-Chiu;Chung, Hsiao-Wen;Truong, Trong-Kha;Bashir, Mustafa R.;Chen, Nan-Kuei
通讯作者：
Chen, Nan-Kuei

Human brain diffusion tensor imaging at submillimeter isotropic resolution on a 3Tesla clinical MRI scanner.