Department of Computer Science and Engineering, The Ohio State University, Marion, OH 43302, USA.
Departments of Biomedical Informatics, Neurology, Neuroscience, The Ohio State University, Columbus, OH 43210, USA.
Rev Neurosci. 2018 Dec 19;30(1):31-44. doi: 10.1515/revneuro-2018-0050.
Clustering is a vital task in magnetic resonance imaging (MRI) brain imaging and plays an important role in the reliability of brain disease detection, diagnosis, and effectiveness of the treatment. Clustering is used in processing and analysis of brain images for different tasks, including segmentation of brain regions and tissues (grey matter, white matter, and cerebrospinal fluid) and clustering of the atrophy in different parts of the brain. This paper presents a state-of-the-art review of brain MRI studies that use clustering techniques for different tasks.
聚类是磁共振成像(MRI)脑成像中的一项重要任务,对脑疾病检测、诊断的可靠性以及治疗效果起着重要作用。聚类被用于不同任务的脑图像处理和分析,包括脑区域和组织(灰质、白质和脑脊液)的分割以及大脑不同部位萎缩的聚类。本文对使用聚类技术进行不同任务的脑 MRI 研究进行了综述。