【摘要】：目的探討腦血管CT成像中自適應(yīng)迭代劑量降低重建(AIDR)3D算法與圖像質(zhì)量的關(guān)系。方法采用ATOM 701-D型成年男性仿真人頭顱模型,配置碘水混合對(duì)比劑模擬腦血管。采用320排容積CT以100kV、300mA、0.5s進(jìn)行顱腦單圈掃描,分別采用AIDR 3D4個(gè)等級(jí)(off、mild、standard、strong)進(jìn)行圖像重建。獲得軸位血管CT值及噪聲、腦組織CT值及噪聲、SNR和CNR。不同迭代算法等級(jí)重建對(duì)圖像質(zhì)量的影響采用單因素方差分析。結(jié)果不同AIDR3D等級(jí)重建的血管噪聲、腦組織噪聲、SNR、CNR差異均有統(tǒng)計(jì)學(xué)意義(P均0.05);血管CT值及腦組織CT值差異均無統(tǒng)計(jì)學(xué)意義(P均0.05)。結(jié)論不同AIDR 3D等級(jí)降低噪聲效果和提高圖像質(zhì)量能力不同,等級(jí)越高,圖像質(zhì)量越高。
[Abstract]:Objective to investigate the relationship between adaptive iterative dose reduction (AIDR) 3D algorithm and image quality in cerebrovascular CT imaging. Methods ATOM 701-D adult male model was used to simulate the cerebral vessels. Using 320 row volume CT, the brain was scanned with 100kV ~ 300mAm ~ (0.5) s, and the images were reconstructed by AIDR 3D4 grade (off,mild,standard,strong). CT value and noise of axial vessel, CT value and noise of brain tissue, SNR and CNR. were obtained. Single factor analysis of variance (ANOVA) was used to analyze the effect of different iterative algorithms on image quality. Results there were significant differences in vascular noise, brain noise and SNR,CNR between different AIDR3D grades, but there was no significant difference in vascular CT value and CT value in brain tissue (P0. 05). Conclusion different AIDR 3D grades can reduce noise and improve image quality. The higher the grade is, the higher the image quality is.
【作者單位】： 溫州醫(yī)科大學(xué)附屬第一醫(yī)院放射科;
【基金】：溫州市科技局科技計(jì)劃項(xiàng)目(Y20130146) 浙江省自然科學(xué)基金項(xiàng)目(LY15H030016)
【分類號(hào)】：R816.1

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相關(guān)期刊論文 前3條

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本文編號(hào)：2409266