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: 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
• 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

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，开发和整合新的策略，以有效地消除运动相关的伪影，这是当前的主要瓶颈

项目成果

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

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

通过重复的K-T-subsmpling和伪影（REKAM）改善了自由呼吸的腹部MRI。

• 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.

基于POCS的多重灵敏度编码MRI（POCSMUSE）的重建：一种用于减少运动相关伪影的一般算法。

• 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.

• DOI: 10.1016/j.neuroimage.2015.06.016
• 发表时间: 2015-09
• 期刊: NeuroImage
• 影响因子: 5.7
• 作者: Chang HC;Sundman M;Petit L;Guhaniyogi S;Chu ML;Petty C;Song AW;Chen NK
• 通讯作者: Chen NK