Brain MR Image Segmentation and Bias Correction Based on Gaussian mixture model and linear regression method

機譯：基于高斯混合模型和線性回歸方法的腦部MR圖像分割與偏差校正

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This paper presents a statistics method for segmentation and bias correction of brain MR images. The proposed model utilizes Gaussian mixture model and linear regression method to get the segmentation results and correct bias field. Experimental results on both synthetic images and MR data are given to demonstrate the effectiveness and efficiency of the proposed algorithm.

機譯：本文提出了一種統(tǒng)計方法，用于腦部MR圖像的分割和偏差校正。該模型利用高斯混合模型和線性回歸方法獲得分割結(jié)果并校正偏場。給出了合成圖像和MR數(shù)據(jù)的實驗結(jié)果，以證明所提算法的有效性和效率。

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來源
《The proceedings of 2010 international conference on probability and statistics of the International Institute for General Systems Studies.;vol. 2.;Applications on probability and statistics》|2010年|p.719-722|共4頁
會議地點 Nanjing(CN);Nanjing(CN)
作者
Shenghua Gu; Tianming Zhan; Yingchao Zhang;
展開▼
作者單位

Nanjing University of Information Technology .Nanjing 210044,China;

School of Computer Science and Engineering, Nanjing University of Science and Technology,Nanjing 210094,China;

Nanjing University of Information Technology ,Nanjing 210044,China;

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原文格式 PDF
正文語種 eng
中圖分類概率論與數(shù)理統(tǒng)計;概率論與數(shù)理統(tǒng)計;
關鍵詞
Bias field; image segmentation; expectation-maximization; linear regression;

機譯：偏置場;圖像分割;期望最大化;線性回歸;

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專利

1. Gaussian mixture model based segmentation methods for brain MRI images [J] . M. A. Balafar Artificial Intelligence Review: An International Science and Engineering Journal . 2014,第3期

機譯：基于高斯混合模型的腦部MRI圖像分割方法
2. Hybrid segmentation method based on multi-scale Gaussian kernel fuzzy clustering with spatial bias correction and region-scalable fitting for breast US images [J] . Lipismita Panigrahi, Kesari Verma, Bikesh Kumar Singh Computer Vision, IET . 2018,第8期

機譯：基于多尺度高斯核模糊聚類與空間偏差校正和區(qū)域尺度擬合的乳腺US圖像混合分割方法
3. Segmentation of Magnetic Resonance Brain Images Based on Improved Gaussian Mixture Model with Spatial Information [J] . Bian Z. J., Tan W. J., Yang J. Z., Journal of Medical Imaging and Health Informatics . 2015,第8期

機譯：基于帶空間信息的改進高斯混合模型的磁共振腦圖像分割
4. Brain MR Image Segmentation and Bias Correction Based on Gaussian mixture model and linear regression method [C] . Shenghua Gu, Tianming Zhan, Yingchao Zhang International conference on probability and statistics of the International Institute for General Systems Studies . 2010

機譯：基于高斯混合模型和線性回歸方法的腦MR圖像分割和偏置校正
5. Gaussian Mixture Model based Spatial Information Concept for Image Segmentation. [D] . Nguyen, Thanh Minh. 2011

機譯：基于高斯混合模型的空間信息概念用于圖像分割。
6. Multigrid Nonlocal Gaussian Mixture Model for Segmentation of Brain Tissues in Magnetic Resonance Images [O] . Yunjie Chen, Tianming Zhan, Ji Zhang, 2006

機譯：用于磁共振圖像中腦組織分割的多網(wǎng)格非局部高斯混合模型
7. An Automated Approach for Segmentation of Brain MR Images using Gaussian Mixture Model based Hidden Markov Random Field with Expectation Maximization [O] . Saurabh A Shah, Narendra C Chauhan 2015

機譯：基于高斯混合模型的隱馬爾可夫隨機場分割腦MR圖像的自動化方法，預期最大化

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Brain MR Image Segmentation and Bias Correction Based on Gaussian mixture model and linear regression method

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