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基于超聲回波去相關(guān)成像的微波消融實(shí)時(shí)監(jiān)測(cè)

Real-time monitoring of microwave ablation based on ultrasound echo decorrelation imaging

作者: 王月  周著黃  吳水才 
單位:北京工業(yè)大學(xué)生命科學(xué)與生物工程學(xué)院(北京 100124)
關(guān)鍵詞: 微波消融;凝固區(qū);瞬時(shí)去相關(guān)成像;累計(jì)去相關(guān)成像;監(jiān)測(cè) 
分類(lèi)號(hào):R318
出版年·卷·期(頁(yè)碼):2018·37·6(575-580)
摘要:

目的 為實(shí)現(xiàn)肝腫瘤微波消融的實(shí)時(shí)監(jiān)測(cè), 提出基于超聲回波去相關(guān)成像的微波熱凝固區(qū)檢測(cè)方法。方法 共進(jìn)行15例體外豬肝微波消融實(shí)驗(yàn) (P=80 W, t=60 s) , 利用自編程序以2幀/s的速率連續(xù)采集微波熱消融不同時(shí)刻下的超聲回波信號(hào), 分別計(jì)算每相鄰兩幀超聲數(shù)據(jù)的瞬時(shí)去相關(guān)成像, 取所有瞬時(shí)去相關(guān)圖像中各像素點(diǎn)的最大值構(gòu)成累計(jì)去相關(guān), 并進(jìn)行對(duì)數(shù)壓縮;設(shè)定閾值為-0. 4并結(jié)合多項(xiàng)式擬合技術(shù), 在累計(jì)去相關(guān)圖像中檢測(cè)凝固區(qū);測(cè)量并記錄凝固區(qū)的長(zhǎng)軸和短軸并計(jì)算其面積, 以消融結(jié)束后豬肝組織剖面內(nèi)實(shí)際凝固區(qū)為金標(biāo)準(zhǔn), 對(duì)凝固區(qū)檢測(cè)算法的精度進(jìn)行評(píng)估。結(jié)果 與B超圖像相比, 瞬時(shí)去相關(guān)圖像中熱損傷組織和正常肝臟組織參數(shù)對(duì)比度增大, 可實(shí)時(shí)監(jiān)測(cè)熱消融過(guò)程中凝固區(qū)的變化。基于15例熱凝固區(qū)的檢測(cè)結(jié)果, 統(tǒng)計(jì)分析得出:累計(jì)去相關(guān)成像技術(shù)檢測(cè)微波熱凝固區(qū)的平均精度為88. 60%。結(jié)論 基于超聲回波去相關(guān)成像技術(shù)可實(shí)現(xiàn)體外肝臟微波熱消融的定量實(shí)時(shí)監(jiān)測(cè)。

Objective To achieve real-time monitoring of microwave ablation for liver tumor, a detection method of microwave ablation zone based on ultrasound echo decorrelation imaging was proposed in this study.Methods In this study, 15 porcine livers in vitro ( P = 80 W, t = 60 s) were carried out in the microwave ablation experiments. The ultrasound echo signals at different times during microwave ablation were continuously acquired at a rate of 2 frames/s using the self-writing program. The instantaneous decorrelation imaging of each two adjacent frame ultrasound data was calculated respectively, and the maximum values of all the pixels in all the instantaneous decorrelation images were used to form cumulative decorrelation image, followed by logarithm compression. The threshold as-0. 4 and polynomial approximation were used to detect the thermal lesions in the cumulative decorrelation image. The long axis and short axis of the ablation zone were measured and recorded, and the area was calculated. The actual thermal lesion in the tissue section of the porcine liver after ablation was used as the gold standard to evaluate the accuracy of this algorithm. Results Compared with B-mode images, there was a larger contrast between thermal lesions and normal liver tissues in the instantaneous decorrelation image, which could be used to monitor the real-time change of coagulation during thermal ablation. The results of 15 cases of thermal ablation zonedetection showed that the average accuracy of the cumulative decorrelation imaging for detecting the microwave thermal lesions was 88. 60%. Conclusions The technique of ultrasound echo decorrelation imaging can achieve quantitative real-time monitoring of microwave ablation of liver in vitro.

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