本文選題：高斯濾波器 + 非局部均值(NLM)濾波器�。� 參考：《中國生物醫(yī)學工程學報》2017年06期

【摘要】：在臨床應用中需要限制掃描時間和藥物劑量,這往往會使正電子發(fā)射斷層掃描(PET)的圖像的分辨率變低,噪聲變多。為提供可供臨床診斷的圖像,去噪是一個必須的手段,而在重建后增加一個濾波器是目前最常用的去噪方法。因此對不同濾波器濾波效果的比較是PET圖像重建中的重要環(huán)節(jié),其中最關鍵的是濾波參數(shù)的選取。目前采用的信噪比(SNR)以及恢復系數(shù)(RC)等評估方法可以用來非定量地選取參數(shù),研究者們只能憑經(jīng)驗選取最優(yōu)參數(shù)。而通道化霍特林觀察器(CHO)作為一個比較通用的數(shù)字觀察器,已被用于與PET圖像質量相關的各種參數(shù)的選擇,如重建算法參數(shù)、系統(tǒng)設計參數(shù)、臨床協(xié)議參數(shù)等,然而其在評估不同濾波方法對圖像重建質量的影響中的應用研究還比較少。通過比較CHO計算得到的ROC(receiver operating characteristic)曲線下面積(area under the ROC curve,AUC),選擇兩種常用的濾波器(即高斯濾波器和非局部均值(Non-Local Mean,NLM)濾波器)的最優(yōu)參數(shù),并評估它們在PET中的濾波效果。結果表明,對于13 mm球體,σ為1.1~1.4的高斯濾波器和f為0.5~0.9的NLM濾波器可以達到最大的檢測能力值,而對于10 mm球體,σ為1.4~2.0的高斯濾波器和f為0.5~0.9的NLM濾波器可以達到最大的檢測能力值。雖然兩個濾波器所對應的AUC值都能高達0.9,但是NLM濾波器的AUC值高于高斯濾波器。通過IEC圖像和病人圖像也能發(fā)現(xiàn),NLM濾波后的PET圖像中的亮點比高斯濾波的更加清晰,噪聲更少。該結論和傳統(tǒng)濾波器評估方法得到的結論一致,這說明在PET的病灶檢測任務中,CHO能夠準確地比較這兩種濾波器的性能。
[Abstract]:It is necessary to limit the scanning time and drug dose in clinical application, which often makes the resolution of PET image lower and the noise more frequent. In order to provide images for clinical diagnosis, denoising is a necessary method, and adding a filter after reconstruction is the most commonly used denoising method. Therefore, the comparison of filtering effects of different filters is an important step in PET image reconstruction, and the selection of filter parameters is the most important one. The SNR (SNR) and the restoration coefficient (RC) can be used to select parameters in an unquantifiable way, but researchers can only select the optimal parameters based on experience. As a general digital observer, channelized Hotlin observer has been used to select various parameters related to PET image quality, such as reconstruction algorithm parameters, system design parameters, clinical protocol parameters, etc. However, there are few researches on how to evaluate the effect of different filtering methods on image reconstruction quality. The optimum parameters of two kinds of filters (Gao Si filter and Non-Local mean value Non-Local mean NLM filter) are selected by comparing the area under the receiver operating curve and the AUC filter, and their filtering effect is evaluated. The results are as follows: (1) in this paper, the optimal parameters of the two kinds of filters (Gao Si filter and Non-Local mean value Non-Local mean value NLM filter) are selected. The results show that for the 13mm sphere, the Gao Si filter with 蟽 = 1.1 ~ 1.4 and the Gao Si filter with f = 0.5 ~ 0.9 can reach the maximum detection capability. For the 10 mm sphere, the Gao Si filter with 蟽 = 1.4g 2.0 and the Gao Si filter with f = 0.5 ~ 0. 9 can reach the maximum detection capability. Although the AUC value of the two filters can be as high as 0.9, the AUC value of the Gao Si filter is higher than that of the Gao Si filter. It can also be found that the bright spot of the filtered Gao Si image is clearer and less noise than that of the Gao Si filter. This conclusion is consistent with that obtained by the traditional filter evaluation method, which shows that Cho can accurately compare the performance of the two filters in the focus detection task of PET.
【作者單位】： 杭州電子科技大學生物醫(yī)學工程學院;明峰醫(yī)療系統(tǒng)股份有限公司;
【基金】：國家科技支撐計劃項目課題(2012BAI13B06) 國家重點研發(fā)計劃項目(2016YFC0104500) 國家自然科學基金(81671038)
【分類號】：R817;TP391.41

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