脑肿瘤及其脑MRI序列分割

Sanjay Saxena, Puspanjali Mohapatra, S. Pattnaik
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引用次数: 4

摘要

从脑磁共振图像(MRI)中自动分割肿瘤区域是将异常组织从正常组织(如白质(WM)、灰质(GM)和脑脊液(CSF))中分离出来的过程。由于肿瘤区域的位置、大小和形状的多样性,准确、高效的分割过程仍然是迫切需要的。脑MRI提供了大脑的代谢过程、心理过程和描述性信息。MRI对脑肿瘤的分割以其无创性和良好的软组织对比效果而受到研究人员的重视。本章的主要目的是提供基于MRI的脑肿瘤分割方法的广泛概述。本章提供了脑肿瘤的信息,它的类型,MRI的简要介绍,以及它的不同类型,最后,本章给出了不同的研究人员和科学家用于脑肿瘤分割的不同技术的优点和局限性的简要概述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Brain Tumor and Its Segmentation From Brain MRI Sequences
Automated segmentation of tumorous region from the brain magnetic resonance image (MRI) is the procedure of extrication anomalous tissues from regular tissues, such as white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF). The process of accurate and efficient segmentation is still exigent because of the diversity of location, size, and shape of the tumorous region. Brain MRI provides metabolic process, psychological process, and descriptive information of the brain. Brain tumor segmentation using MRI is drawing the attention of the researchers due to its non-invasive nature and good soft tissue contrast of MRI sequences. The main motive of this chapter is to provide a broad overview of the methods of brain tumor segmentation based on MRI. This chapter provides the information of the brain tumor, its types, brief introduction of the MRI, and its diverse types, and lastly, this chapter gives the brief overview with benefits and limitations about diverse techniques used for brain tumor segmentation by different researchers and scientists.
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