本文選題：心肌延遲強(qiáng)化磁共振 + 水平集算法　； 參考：《西安交通大學(xué)學(xué)報(bào)》2017年08期

【摘要】：針對(duì)心肌延遲強(qiáng)化磁共振圖像分割中邊界模糊的問題,提出了一種基于水平集的半自動(dòng)分割算法。該算法通過結(jié)合多相水平集算法和Chan-Vese模型,可以同時(shí)分割心肌內(nèi)膜、外膜和心肌梗塞區(qū)域的邊界。根據(jù)心臟左心室的圓形特征,通過增加圓形懲罰項(xiàng),使得分割心肌內(nèi)膜的曲線在迭代過程中逐漸接近于圓形,從而解決了心肌內(nèi)膜邊界模糊的問題。根據(jù)心肌內(nèi)膜和外膜之間的距離關(guān)系,提出了動(dòng)態(tài)氣球力,通過將兩條演化曲線之間的距離約束在一定范圍內(nèi),使得曲線在真實(shí)邊界附近收斂,從而提高了分割心肌外膜邊界的精度。由于正常心肌與發(fā)生梗塞的心肌在灰度上存在著明顯的差異,采用Chan-Vese模型代替閾值法分割心肌梗塞區(qū)域以獲取光滑的目標(biāo)邊界。該算法已在STACOM 2012國際競賽數(shù)據(jù)集上進(jìn)行了驗(yàn)證測試,結(jié)果表明,算法的平均Dice相似性系數(shù)為0.72,較其他算法的平均Dice系數(shù)提高了0.07~0.12;算法具有較好的實(shí)驗(yàn)可重復(fù)性的同時(shí)也具有更好的穩(wěn)定性。
[Abstract]:A semi-automatic segmentation algorithm based on level set is proposed to solve the problem of boundary blur in myocardial delayed enhanced magnetic resonance image segmentation. By combining the multiphase level set algorithm and the Chan-Vese model, the boundary of myocardial endocardium, adventitia and myocardial infarction region can be divided simultaneously. According to the circular characteristics of the left ventricle, the curve of myocardial endocardium segmentation is gradually close to the circle in the iterative process by increasing the circular penalty term, thus solving the problem of blurring the boundary of myocardial endocardium. According to the distance relationship between endomyocardium and adventitia, the dynamic balloon force is proposed. By limiting the distance between the two evolution curves in a certain range, the curve converges near the real boundary. Thus, the accuracy of dividing the boundary of myocardial adventitia is improved. Due to the obvious difference between the normal myocardium and the infarcted myocardium, the Chan-Vese model is used to segment the infarct area instead of the threshold method to obtain the smooth target boundary. The algorithm has been tested on the STACOM 2012 international competition data set. The results show that, The average Dice similarity coefficient of the algorithm is 0.72, which is 0.070.12 higher than the average Dice coefficient of other algorithms. The algorithm has better repeatability and stability.
【作者單位】： 西安交通大學(xué)電子與信息工程學(xué)院;
【基金】：國家自然科學(xué)基金資助項(xiàng)目(61672423)
【分類號(hào)】：R542.22;TP391.41

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