Literature DB >> 30265656

Segmentation and clustering in brain MRI imaging.

Golrokh Mirzaei1, Hojjat Adeli2.   

Abstract

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.

Entities:  

Keywords:  FCM; K-means; clustering; convolutional neural network; segmentation

Mesh:

Year:  2018        PMID: 30265656     DOI: 10.1515/revneuro-2018-0050

Source DB:  PubMed          Journal:  Rev Neurosci        ISSN: 0334-1763            Impact factor:   4.353


  5 in total

1.  Integrin α6-Targeted Molecular Imaging of Central Nervous System Leukemia in Mice.

Authors:  Wenbiao Zhang; Yongjiang Li; Guanjun Chen; Xiaochun Yang; Junfeng Hu; Xiaofei Zhang; Guokai Feng; Hua Wang
Journal:  Front Bioeng Biotechnol       Date:  2022-02-23

2.  Application of Clustering-Based Analysis in MRI Brain Tissue Segmentation.

Authors:  Mingjiang Li; Jincheng Zhou; Dan Wang; Peng Peng; Yezhao Yu
Journal:  Comput Math Methods Med       Date:  2022-08-03       Impact factor: 2.809

3.  Towards an Architecture of a Multi-purpose, User-Extendable Reference Human Brain Atlas.

Authors:  Wieslaw L Nowinski
Journal:  Neuroinformatics       Date:  2021-11-26

4.  Optimized Clustering Algorithm for Comparative Analysis of Different Prenatal Corticosteroid Neurological Deficits in Premature Infants through Magnetic Reasoning Imaging (MRI).

Authors:  Shu Zhao
Journal:  Contrast Media Mol Imaging       Date:  2021-07-26       Impact factor: 3.161

5.  Fuzzy C-Means Clustering Algorithm-Based Magnetic Resonance Imaging Image Segmentation for Analyzing the Effect of Edaravone on the Vascular Endothelial Function in Patients with Acute Cerebral Infarction.

Authors:  Jie Yin; Hong Chang; Dongmei Wang; Haifei Li; Aibing Yin
Journal:  Contrast Media Mol Imaging       Date:  2021-07-14       Impact factor: 3.161

  5 in total

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