新生儿脑磁共振图像的自动分割

C. N. Devi, A. Chandrasekharan, V. Sundararaman, Z. C. Alex
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引用次数: 1

摘要

本文综述了新生儿大脑的磁共振成像,提出了新生儿大脑图像分割所涉及的挑战,并回顾了现有的自动分割技术,包括基于阿特拉斯的概率分割和基于形态学的大脑分割。它比较了实践中的各种方法,并强调了它们的局限性,特别是在分割大脑髓鞘部分方面的不足。它还提出了一种克服这些缺点的新方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic segmentation of neonatal brain magnetic resonance images
This paper provides an overview of magnetic resonance imaging of the neonatal brain, presents the challenges involved in segmenting the neonatal brain images and reviews the existing techniques for automatic segmentation, including atlas-based probabilistic segmentations and morphology based brain segmentation. It compares the various methods in practice and highlights their limitations, particularly the inadequacies in segmenting the myelinated portions of the brain. It also proposes a new approach to overcome these shortcomings.
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