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

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.

目前还没有公开可用的分割工具和地图集来自动标记人类 脑部MRI成像和神经解剖学特征的年龄范围为0-5岁。Full的发展 适用于这一群体的自动化、高精度和强大的后处理工具 考虑到许多因素，与成人使用的药物相比明显滞后-困难 从不合规的新生儿和蹒跚学步的儿童那里获得数据，关于研究成像的伦理问题 受试者不能同意，而且关键的是，对比度和几何形状在 婴儿的发育。此外，现有的大多数成像数据都来自临床 受试者(例如，早产儿)，不能用来描述婴儿的正常变异 因此，为进一步量化健康和疾病之间的比较提供了一个基线。 我们认为，地图集和图像处理工具首先被改编和引入是至关重要的 健康对照人群。在拟议的项目中，我们打算开发一条与自由冲浪兼容的管道 当与标准的临床MRI采集一起使用时，它将计算皮质和皮质下分割 映射并创建拓扑正确和几何准确的白质和软脑膜表面。另外， 这样的表面将被用来驱动新的成对和成组配准方法来编码空间 2D和3D地图集形式的通信和与年龄有关的信息。这项工作将在 麻省理工学院/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医院合作 医院，我们将在那里利用尖端的成像设备以及领先的成像和 临床专业知识。