本文選題：合成孔徑　切入點：成像算法　出處：《聲學(xué)學(xué)報》2017年01期

【摘要】：利用相位相干系數(shù)(PCF)和廣義相干系數(shù)(GCF)對波束形成后的結(jié)果進(jìn)行加權(quán),能有效提高超聲成像的質(zhì)量,但存在背景組織亮度降低,對比度不高,以及遠(yuǎn)處目標(biāo)成像強(qiáng)度降低等問題。本文提出一種基于次方樣本熵的合成孔徑成像算法,將單個孔徑發(fā)射時的低質(zhì)量成像結(jié)果作為元素,根據(jù)孔徑位置排列,構(gòu)成空間向量。根據(jù)不同成像點對應(yīng)的空間向量的隨機(jī)性不同,計算每個點的空間向量的次方樣本熵,并將該熵值作為權(quán)系數(shù)進(jìn)行加權(quán)成像。采用FieldⅡ仿真數(shù)據(jù)成像結(jié)果表明,相比于傳統(tǒng)的DAS算法,次方樣本熵方法能夠提高成像的分辨率和對比度;相比于PCF和GCF算法,次方樣本熵方法能夠在不損失組織背景強(qiáng)度的情況下,進(jìn)一步改善了成像質(zhì)量。
[Abstract]:The results of beamforming can be weighted by using phase coherence coefficient PCF (PCF) and generalized coherence coefficient (GCF), which can effectively improve the quality of ultrasonic imaging, but the brightness of background tissue is low and the contrast is not high. In this paper, a synthetic aperture imaging algorithm based on power sample entropy is proposed, in which the low quality imaging results of a single aperture are taken as elements and arranged according to the position of aperture. According to the randomness of the space vectors corresponding to different imaging points, the entropy of the space vectors of each point is calculated, and the entropy value is used as the weight coefficient for weighted imaging. The results of Field 鈪，

本文編號：1699942