北京生物醫(yī)學(xué)工程

基于同軸相襯成像方法的人體膝關(guān)節(jié)軟骨可視化

Knee cartilage tissues visualization based on in-line phase contrast imaging

作者：李君董立男吳明樹張璐

單位：北京大學(xué)第三醫(yī)院(北京 100191) 中國(guó)人民解放軍總醫(yī)院(北京 100039) 首都醫(yī)科大學(xué)(北京 100069)

關(guān)鍵詞：同軸相位襯度成像; 骨關(guān)節(jié)炎; 關(guān)節(jié)軟骨; 紋理特征; 行程長(zhǎng)度矩陣; 分形維

分類號(hào)：R318

出版年·卷·期（頁(yè)碼）：2021·40·2（117-122）

摘要：

目的同軸相位襯度成像對(duì)軟組織具有高襯度和高分辨率的特性。利用該成像技術(shù)，通過(guò)紋理特征參數(shù)提取，進(jìn)行定量分析，可為骨性關(guān)節(jié)炎的早期診斷提供可行性的依據(jù)。方法研究樣本來(lái)自人工關(guān)節(jié)置換手術(shù)患者的離體膝關(guān)節(jié)軟骨組。將實(shí)驗(yàn)分為正常組與早期骨性關(guān)節(jié)炎（osteoarthritis，OA）組，每組18例離體膝關(guān)節(jié)軟骨組織。利用同軸相襯成像(in-line phase contras imaging, IL-PCI)技術(shù)，觀察兩組軟骨組織的紋理差異，并運(yùn)用行程長(zhǎng)度矩陣與分形維方法提取紋理特征參數(shù)行程加重（long run emphasis，LRE）、短行程加重（short run emphasis，SRE）、程分?jǐn)?shù)（run percentage，RP）、灰度級(jí)的非均勻性（gray level non-uniformity，GLN）、行程長(zhǎng)度的非均勻性（run length non-uniformity，RLN）以及分形維數(shù)。通過(guò)獨(dú)立樣本T檢驗(yàn)方法比較上述參數(shù)，量化分析正常與病變軟骨組織紋理差異。結(jié)果利用IL-PCI技術(shù)可以清晰觀察到正常與早期OA軟骨中微結(jié)構(gòu)的變化。通過(guò)紋理參數(shù)提取比較兩組的軟骨紋理特征，結(jié)果表明正常組的LRE明顯高于早期OA組（P<0.01），而早期OA組的GLN、RLN遠(yuǎn)高于正常組（P<0.01），正常組的分形維數(shù)小于早期OA組（P<0.01）。結(jié)論同軸相襯技術(shù)為骨性關(guān)節(jié)炎的早期診斷可以提供定量分析手段。

Objective The in-line phase contras imaging (IL-PCI) technology has the properties of high contrast and resolution for soft tissue. In this work, the imaging of knee cartilage with this technique is used to provide a feasible basis for the early diagnosis of osteoarthritis through quantitative analysis. Methods The samples were in vitro cartilage of human knee joints, which were obtained from patients undergoing artificial joint replacement surgery. The experiment was divided into the normal group and the early osteoarthritis (OA) group, with 18 cases of isolated knee cartilage tissue in each group. IL-PCI technology was used to observe the differences between the two groups of cartilage texture, and the stroke length matrix and fractal dimension methods were used to extract the cartilage texture features including long run emphasis (LRE), short run emphasis (SRE) and run percentage (RP), gray level non_enrichment (GLN), run length non_enrichment (RLN), and fractal dimension. The above parameters were compared with the independent-samples t-test method, and the differences were analyzed quantitatively for the measure of normal and pathological cartilage tissue texture. Results The changes of microstructure in early OA cartilage could be clearly observed by IL-PCI. The results showed that LRE in the normal group was significantly higher than that in the early OA group (P<0.01). The GLN and RLN of the early OA group were significantly higher than those of the normal group (P<0.01), the fractal dimension of the normal group was lower than that of the early OA group (P<0.01). Conclusions IL-PCI technique can provide quantitative analysis for early diagnosis of osteoarthritis.

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