Motion Robust Relaxometry for Infant Neuroimaging

用于婴儿神经影像的运动鲁棒松弛测量法

• 批准号: 10583970
• 负责人: ANDREW L ALEXANDER
• 金额: $ 62.92万
• 依托单位: UNIVERSITY OF WISCONSIN-MADISON
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-20 至 2026-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10583970
• 关键词: 2 year old; 3-Dimensional; Acoustics; Address; Adult; Affect; Age; Age-Months; Area; Attenuated; Axon; Basal Ganglia; Brain; Brain Injuries; Brain imaging; Brain region; Cerebral Palsy; Child; Child Development; Childhood; Clinical; Clinical Research; Clinical/Radiologic; Cone; Detection; Development; Diagnosis; Disabled Children; Disease; Environment; Evaluation; Future; Genetic; Genetic Diseases; Head; Image; Imaging Techniques; Imaging technology; Impairment; Individual; Individual Differences; Infant; Infant Development; Intervention; Lesion; Life; Longevity; Loudness; Machine Learning; Magnetic Resonance Imaging; Maps; Measurement; Measures; Methods; Morphologic artifacts; Motion; Motor; Movement Disorders; Myelin; Neurologic; Noise; Outcome; Pathology; Pediatric Research; Performance; Persons; Population; Prognostic Marker; Property; Protocols documentation; Radial; Relaxation; Resources; Risk; Scanning; Sedation procedure; Sensorimotor functions; Sleep; Software Tools; Standardization; Techniques; Technology; Testing; Thalamic structure; Time; Toddler; brain abnormalities; brain tissue; clinical diagnostics; cohort; developmental disease; high risk; image reconstruction; imaging modality; imaging study; improved; ischemic lesion; multimodality; myelination; nervous system disorder; neuroimaging; novel; pediatric patients; precision medicine; pressure; prognostic; prognostic value; public health relevance; quantitative imaging; research study; side effect; sound; spinal tract; success; tool; white matter; white matter damage

ABSTRACT: Quantitative relaxometry is a promising method for quantifying brain changes with early development and brain tissue differences as a function of genetics, environment or pathology. Relaxometry may be useful for assessing abnormal white matter damage in infants at risk for cerebral palsy, which is the leading movement disorder in children. Head motion is a significant challenge for MRI studies in young children, resulting in image artifacts and errors in quantitative imaging measures. Long and loud scans also adversely affect imaging compliance in young children. Consequently, there is a critical need to develop imaging methods that are robust to motion, faster, and quieter. This project will develop, optimize and evaluate novel 3D radial imaging technologies for multimodal structural imaging and quantitative relaxometry for studies in sleeping infants and toddlers. The outcome will be a fast, ultra-quiet imaging technique capable of providing imaging maps of quantitative relaxation times that are robust to nearly all motions. These optimized, motion-corrected, quantitative relaxometry technologies will be applied to a cohort of infants and toddlers without sedation to generate developmental relaxometry templates for normative studies from 0 to 2 years of age. The normative relaxometry framework will be applied to lesions and abnormal brain development of infants at risk for or diagnosed with cerebral palsy, The normative framework will also be used to investigate individual differences in brain and sensorimotor development in both typical development and cerebral palsy. Ultimately, this project will provide a set of robust, reliable and accurate image acquisition methods, software tools, and strategies for investigating healthy and abnormal brain development in both clinical and research pediatric populations without sedation.

摘要： 定量松弛计量术是一种很有前途的方法，可以用来量化早期的脑变化。 发育和脑组织差异是遗传、环境或 病理学。松弛测定法可能有助于评估脑白质异常损害 婴儿有患脑瘫的风险，脑瘫是儿童的主要运动障碍。 头部运动对幼儿的核磁共振研究是一个重大挑战，导致 定量成像测量中的图像伪影和误差。长而响亮的扫描也 对幼儿的成像依从性产生不利影响。因此，有一个关键的 需要开发对运动健壮、速度更快、更安静的成像方法。这 该项目将开发、优化和评估新的3D径向成像技术 多模式结构成像和定量松弛测量法在睡眠研究中的应用 婴儿和学步儿童。其结果将是一种快速、超安静的成像技术 提供几乎所有人都稳健的定量弛豫时间的成像地图 动议。这些优化的、运动校正的定量弛豫测量技术将 适用于一组没有镇静的婴幼儿，以产生 0-2岁正常儿童发育松弛测量模板。 标准化的松弛测量框架将应用于病变和异常的大脑 脑性瘫痪高危婴儿或诊断为脑性瘫痪婴儿的发展 框架还将用于研究大脑和大脑中的个体差异 典型发育和脑性瘫痪的感觉运动发育。最终， 该项目将提供一套健壮、可靠、准确的图像采集方法， 用于研究大脑健康和异常发育的软件工具和策略 在临床和研究中，没有镇静剂的儿科人群。