北京生物醫(yī)學(xué)工程

甲皺微循環(huán)顯微圖像去抖動方法的研究

A Stabilizing Method for the Nail-Fold Microcirculation Images

作者：錢翔孔藝穎葉大田

單位：清華大學(xué)深圳研究生院生物醫(yī)學(xué)工程研究中心（廣東深圳518055）

分類號：

出版年·卷·期（頁碼）：2011·30·4（363-367）

摘要：

利用微循環(huán)顯微圖像可以長時間無創(chuàng)地監(jiān)測和分析末端微血管參數(shù)，這有助于評估一些如高血壓和糖尿病等慢性和老年性疾病對人體造成的長期影響。甲皺微循環(huán)顯微圖像在采集的過程中往往受到被試者指尖運動的影響，產(chǎn)生圖像抖動。本文提出了一種利用自組織映射網(wǎng)絡(luò)分割圖像序列，并采用連續(xù)兩幀的二值化圖像的二維互相關(guān)消除圖像偏移的去抖動方法。結(jié)果表明，這種方法可以有效地去除甲皺微循環(huán)顯微圖像的抖動，同時還保留了每一幀圖像中的血流模式特點，為后續(xù)的參數(shù)計算打下了良好的基礎(chǔ)。

It is suggested that noninvasively accessing the morphological parameters and flow patterns of the microcirculation system through the optical images for a long period of time can be helpful to evaluate the effect of several senile and chronic diseases such as hypertension and diabetes.The nail-fold microcirculation image sequences are usually unstable because of the motion of the subjects.In this paper, a self-organizing map was firstly applied to segment the image sequences, and the 2-dimentional correlation of the two binary images segmented from successive frames was calculated to stabilize the image sequences.The results indicated that the proposed method eliminated the motion of the image sequences effectively, and moreover the flow pattern of each frame was retained, which can be a foundation for further analysis.

參考文獻(xiàn)：

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