Motion Robust Relaxometry for Infant Neuroimaging

用于婴儿神经影像的运动鲁棒松弛测量法

基本信息

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
项目类别：
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

项目摘要

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.

抽象的：定量松弛计是一种有前途的方法，用于量化大脑变化。发育和脑组织差异与遗传学，环境或病理。松弛计可能有助于评估异常的白质损伤有脑瘫风险的婴儿，这是儿童领先的运动障碍。头部运动是对幼儿MRI研究的重大挑战，导致定量成像测量中的图像伪影和错误。长而大声的扫描也不利影响幼儿的成像合规性。因此，有一个关键需要开发成像方法，这些方法可以强大，更快，更安静。这项目将开发，优化和评估新颖的3D径向成像技术用于睡眠研究的多模式结构成像和定量松弛计婴儿和幼儿。结果将是一种能够快速的超级成像技术提供定量放松时间的成像图，几乎对所有动作。这些优化的，由运动校正的，定量的松弛计技术将被应用于没有镇静的婴儿和幼儿队列从0到2岁的规范研究的发育松弛模板模板。规范性松弛计框架将应用于病变和大脑异常发育有风险或诊断出患有脑瘫的婴儿，规范性的框架还将用于调查大脑的个体差异和典型发育和脑瘫的感觉运动发展。最终，该项目将提供一组健壮，可靠和准确的图像采集方法，软件工具以及调查健康和异常大脑发展的策略在临床和研究小儿种群中，没有镇静。