Biomedical Image Computing Group, Departments of Pediatrics, Bioengineering, and Radiology, University of Washington, Seattle, WA 98195, USA.
Annu Rev Biomed Eng. 2011 Aug 15;13:345-68. doi: 10.1146/annurev-bioeng-071910-124654.
The development of tools to construct and investigate probabilistic maps of the adult human brain from magnetic resonance imaging (MRI) has led to advances in both basic neuroscience and clinical diagnosis. These tools are increasingly being applied to brain development in adolescence and childhood, and even to neonatal and premature neonatal imaging. Even earlier in development, parallel advances in clinical fetal MRI have led to its growing use as a tool in challenging medical conditions. This has motivated new engineering developments encompassing optimal fast MRI scans and techniques derived from computer vision, the combination of which allows full 3D imaging of the moving fetal brain in utero without sedation. These promise to provide a new and unprecedented window into early human brain growth. This article reviews the developments that have led us to this point, examines the current state of the art in the fields of fast fetal imaging and motion correction, and describes the tools to analyze dynamically changing fetal brain structure. New methods to deal with developmental tissue segmentation and the construction of spatiotemporal atlases are examined, together with techniques to map fetal brain growth patterns.
从磁共振成像(MRI)构建和研究成人大脑概率图的工具的发展,推动了基础神经科学和临床诊断的进步。这些工具越来越多地应用于青少年和儿童的大脑发育,甚至应用于新生儿和早产儿的成像。在发育的更早阶段,临床胎儿 MRI 的平行进展促使其作为一种工具在具有挑战性的医疗条件下得到越来越多的应用。这激发了新的工程发展,包括最佳快速 MRI 扫描和源自计算机视觉的技术,两者的结合允许在不镇静的情况下对子宫内运动的胎儿大脑进行全 3D 成像。这些有望为早期人类大脑发育提供一个全新的、前所未有的视角。本文回顾了使我们达到这一点的发展,检查了快速胎儿成像和运动校正领域的当前最新技术,并描述了用于分析动态变化的胎儿大脑结构的工具。检查了用于处理发育组织分割和构建时空图谱的新方法,以及用于映射胎儿大脑生长模式的技术。