本文關鍵詞：一種分割腦磁共振圖像的改進FCM聚類算法　出處：《中國生物醫(yī)學工程學報》2016年06期 　論文類型：期刊論文

  更多相關文章： 腦MRI圖像 噪聲 偏移場 FCM算法 圖像分割

【摘要】：噪聲和偏移場是影響磁共振(MRI)圖像質量的主要因素。以含加性噪聲和乘性偏移場的腦MRI圖像組織分割為目標,提出一種抗噪局部相干模糊聚類算法,通過在目標函數(shù)中加入模糊算子和一致局部信息約束,達到同時抑制噪聲和偏移場不利影響的目的,提高分割準確性和穩(wěn)定性。采用20例合成圖像、60例來自Brain Web的模擬腦MRI圖像、100例來自IBSR真實腦MRI圖像,對算法的聚類性能進行評價。實驗結果表明,在噪聲和偏移場干擾并存的情況下,所提出算法與其他幾種經(jīng)典FCM改進算法相比,對合成圖像集的平均分類準確度SA達到0.97,高于其他算法,最大可提高0.37;對真實腦MRI圖像集的腦脊液分割有明顯優(yōu)勢,相似性測度KI平均提高約0.1。分析表明,所提出算法有更好的分類準確性和穩(wěn)定性。
[Abstract]:The noise and bias field magnetic resonance (MRI) effect is the main factors of image quality. The brain MRI images containing additive noise and multiplicative bias field segmentation as the goal, proposed an anti noise local coherent fuzzy clustering algorithm, by adding fuzzy constraint operator and consistency of bureau of the Ministry of information in the objective function, at the same time objective to suppress noise and offset the adverse effects of the field, improve the segmentation accuracy and stability. 20 cases of the use of synthetic images, simulated brain MRI images of 60 cases from Brain Web, 100 cases of IBSR from real brain MRI images, evaluate the performance of the clustering algorithm. The experimental results show that the noise and offset field interference under the condition of coexistence the proposed algorithm, and several other classical FCM algorithm compared to the average classification accuracy of the synthetic image set of SA reached 0.97, higher than that of other algorithms can be increased by 0.37; the CSF MRI image set real brain The cutting has obvious advantages. The similarity measure of KI is improved by 0.1. analysis. The results show that the proposed algorithm has better classification accuracy and stability.

【作者單位】： 大連理工大學電子信息與電氣工程學部;國網(wǎng)遼寧省電力有限公司大連供電公司;大連醫(yī)科大學附屬第二醫(yī)院;
【基金】：國家自然科學基金(61101230)
【分類號】：R445.2;TP391.41
【正文快照】： 引言磁共振成像(magnetic resonance imaging,MRI)是使人體內部組織結構可視化的一種成像技術,對軟組織具有較清晰的成像效果。作為一種非介入檢測手段,MRI已經(jīng)廣泛應用在臨床診療中。腦組織的正確分割,對病灶位置、體積的確定和治療方案的制定具有重要意義。然而,受設備性能，

本文編號：1358429