Automatic, Age Consistent Reconstruction of the Corpus Callosum Guided by Coherency from In Utero Diffusion-Weighted MRI.
IEEE transactions on medical imaging(2020)
摘要
Reconstruction of white matter connectivity in the fetal brain from
in utero
diffusion-weighted magnetic resonance imaging (MRI) faces many challenges, including subject motion, small anatomical scale, and limited image resolution and signal. These issues are compounded by the need to track significant changes in structural connectivity throughout development. We present an automated method for improved reliability and completeness of tract extraction across a wide range of gestational ages, based on the geometry of coherent patterns in streamline tractography, and apply it to the reconstruction of the corpus callosum. This method, focused specifically at addressing the challenges of fetal brain imaging, avoids depending on a tractography atlas, and handles variations in size, shape, and tissue properties of developing brains, both between subjects and across ages. Although tractography from
in utero
MRI generally suffers from a significant number of misleading and missing pathways, we demonstrate the feasibility of extracting the coherent bundle of the corpus callosum while avoiding inappropriate diversions into other tracts.
更多查看译文
关键词
Shape,Image reconstruction,Magnetic resonance imaging,Corpus callosum,Image resolution,Geometry
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要