Development of cortical surface based tools for healthy control infants

开发用于健康控制婴儿的皮质表面工具

• 批准号: 9314698
• 负责人: Lilla Zollei
• 金额: $ 8.55万
• 依托单位: MASSACHUSETTS GENERAL HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-04-01 至 2019-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9314698
• 关键词: Adult; Age; Age-Years; Algorithmic Software; Algorithms; Area; Atlases; Boston; Brain; Brain imaging; Childhood; Clinical; Collaborations; Consent; Data; Data Set; Development; Dimensions; Disease; Ethical Issues; Future; Geometry; Grant; Human; Image; Image Analysis; Individual; Infant; Label; Magnetic Resonance Imaging; Manuals; Maps; Medical; Methods; Neonatal; Neuroanatomy; Neurosciences Research; Outcome; Pattern; Pediatric Hospitals; Performance; Play; Population; Population Control; Premature Infant; Process; Research; Research Infrastructure; Resources; Role; Site; Source; Surface; Testing; Time; Toddler; Underserved Population; Variant; Work; age related; base; bioimaging; clinical investigation; design; image processing; interest; morphometry; myelination; neonate; neuroimaging; non-compliance; novel; premature; reconstruction; tool; translational neuroscience; white matter; Adult; Age; Age-Years; Algorithmic Software; Algorithms; Area; Atlases; Boston; Brain; Brain imaging; Childhood; Clinical; Collaborations; Consent; Data; Data Set; Development; Dimensions; Disease; Ethical Issues; Future; Geometry; Grant; Human; Image; Image Analysis; Individual; Infant; Label; Magnetic Resonance Imaging; Manuals; Maps; Medical; Methods; Neonatal; Neuroanatomy; Neurosciences Research; Outcome; Pattern; Pediatric Hospitals; Performance; Play; Population; Population Control; Premature Infant; Process; Research; Research Infrastructure; Resources; Role; Site; Source; Surface; Testing; Time; Toddler; Underserved Population; Variant; Work; age related; base; bioimaging; clinical investigation; design; image processing; interest; morphometry; myelination; neonate; neuroimaging; non-compliance; novel; premature; reconstruction; tool; translational neuroscience; white matter

Currently there are no publicly available segmentation tools and atlases that would automatically label human brain MRI images and characterize neuroanatomy in the age range of 0 to 5 years. The development of fully automated, highly accurate and robust post-processing tools applicable to this population has been significantly lagging compared to those introduced for adults given a number of factors - the difficulty of obtaining data from non-compliant neonates and toddlers, ethical issues regarding research imaging of subjects who cannot consent, and critically, the rapid change in contrast and geometry displayed during development in infants. Additionally, the majority of the existing imaging data are obtained from clinical subjects (for example, for premature borns), that cannot be used to characterize normal variation in the infant population and thus to produce a baseline for further quantitative comparison between healthy and disease. We believe that it is crucial that atlases and image processing tools are first adapted and introduced for a healthy control population. During the proposed project, we intend to develop a FreeSurfer-compatible pipeline that, when used with standard clinical MRI acquisitions, will compute cortical and subcortical segmentation maps and create topologically correct and geometrically accurate white matter and pial surfaces. Additionally, such surfaces will be used to drive novel pair- and group-wise registration methods to encode spatial correspondences and age-related information in the form of 2D and 3D atlases. This work will be performed at the MGH/Harvard/MIT Martinos Center for Biomedical Imaging in collaboration with the Boston Children's Hospital, where we will take advantage of the cutting-edge imaging facilities as well as leading imaging and clinical expertise.

目前没有公开可用的分割工具和地图集可以自动标记人类 脑MRI图像并表征了0至5岁的年龄范围内的神经解剖学。充分发展 适用于该人群的自动化，高度准确且健壮的后处理工具 与成年人引入的许多因素相比，显着落后 从不合规的新生儿和幼儿中获取数据，有关研究成像的道德问题 不能同意和批判性的受试者，在对比和几何形状上的快速变化 婴儿的发展。此外，大多数现有成像数据是从临床中获得的 受试者（例如，对于早产），不能用来表征婴儿的正常变异 人口，因此产生基线，以进一步定量比较健康和疾病。 我们认为，首先对图像和图像处理工具进行调整和介绍至关重要 健康对照人群。在拟议的项目期间，我们打算开发兼容兼容的管道 当与标准临床MRI获取一起使用时，将计算皮质和皮层下分割 地图并创建拓扑正确和几何准确的白色物质和曲面。此外， 这样的表面将用于驱动新颖的配对和小组的注册方法来编码空间 以2D和3D地图集的形式对应和与年龄有关的信息。这项工作将在 MGH/哈佛/麻省理工学院马蒂诺斯生物医学成像中心与波士顿儿童的合作 医院，我们将利用尖端的成像设施以及领先的成像和 临床专业知识。