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題名 | 在臨床劑量水平下使用ACR乳房認證假體進行CR與DR的影像品質比較=Image Quality Comparison of CR and DR Systems Using Clinical Dose Level with ACR Mammography Accreditation Phantom |
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作者姓名(中文) | 李洳慧; 鐘正國; 張智凱; 劉書瑜; 劉永錡; |
作者姓名(外文) | Li, Ju-hui; Chung, Cheng-kuo; Chang, Chih-kai; Liu, Shu-yu; Liu, Yung-chi; |
書刊名 | 中華放射線技術學雜誌 |
卷期 | 38:2 2014.06[民103.06] |
頁次 | 頁93-99 |
分類號 | 416.226 |
語文 | chi |
關鍵詞 | 數位乳房攝影; 電腦數位攝影; 影像品質; Digital mammography; Computed radiography; Image quality; |
中文摘要 | 數位式乳房攝影系統目前已成為相關臨床乳房攝影檢查的主要工具,而其中又可分為數位乳房攝影儀以及電腦數位乳房攝影系統兩種。由於影像成像的設備、原理以及影像後處理等等因素的差異,使得臨床工作人員對於不同系統的影像品質有不同的看法。本研究使用標準假體,以各自臨床常用之自動曝光控制進行攝影後,取得未經影像處理之原始影像與處理後之臨床影像為材料,評估六種常見系統之影像品質。其中包括目視評分、訊雜比、對比雜訊比、以及影像均勻度等項目。再以選取感興趣區域的方式測量特定位置,進行量化分析。結果顯示目視評分並無顯著差異(p = 0.42)。原始影像中,訊雜比以電腦數位系統最佳,處理後的訊雜比則因各廠牌對於像素值的轉換公式與動態範圍不同,兩種系統的比較在統計上並無顯著差異(p > 0.05)。對比雜訊比的結果顯示,所有系統在假體影像中,不論是處理前或處理後,均呈現相似的對比雜訊比。但DR系統在模擬鈣化點有較好的強化對比雜訊比的效果。影像均勻度的分析結果顯示GE系列系統在整體上有較佳的均勻度修正效果,也發現以本方法可藉由訊號強度與訊雜比之差異的改變,用以檢驗系統均勻度的修正是否正確。研究中也發現,由於各系統對像素值之定義的差異,單純以訊雜比來比較系統表現,並無法作為系統功能的指標。 |
英文摘要 | Digital mammography imaging systems are now the most important imaging modality in mammography, and there are two types of systems, namely digital mammography (DR) and mammography using computed radiography (CR) systems. Due to differences in instruments, principles, and post-processing algorithms, clinical staffs have different opinions on these two types of systems. In this study, we use the ACR Mammographic Accreditation Phantom and imaging parameters determined by automatic control system that defined for clinical exams. The for-processing images and for-presentation images are used to evaluate the image quality of six systems. Including phantom scores, signal-to-noise ratio (SNR), contrast -to-noise ratio (CNR), and uniformity, we use visual and region-of-interest measurement to quantify specific image characteristics. The results show that there is no significant differences in phantom score test among all systems. With for-processing images, the SNR of CR systems are superior to DR. However, there is no significant statistical difference of the SNR test with for-presentation images due to the differences in conversion algorithms and dynamic ranges of pixel values among those manufacturers. In CNR tests, the CNR of both types of images among all systems show similar and consistent results. Differences of individual test vary with densities and sizes of test objects in all systems (details are described in the discussion section). The results of image homogeneity test show GE systems have superior performance in homogeneity correction. However, the method proposed in this study is able to evaluate the function of homogeneity correction of these digital imaging systems by the changes in signal intensity and SNR. In this study, we find that using SNR alone is not enough as an indicator to define a system’s performance. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。