本文選題：光子計(jì)數(shù)　切入點(diǎn)：X線CT　出處：《東南大學(xué)學(xué)報(bào)(自然科學(xué)版)》2016年06期 　論文類型：期刊論文

【摘要】：為了提高多能光子計(jì)數(shù)X線CT全能譜重建圖像的對(duì)比噪聲比,提出了一種基于投影加權(quán)的圖像重建改進(jìn)方法.首先,針對(duì)包含不同對(duì)比材料的3種模體進(jìn)行投影仿真,獲得包含泊松噪聲和高斯噪聲的投影正弦圖;然后,從投影正弦圖中提取噪聲信息,構(gòu)造關(guān)于權(quán)重的對(duì)比噪聲比優(yōu)化函數(shù);最后,求解出使對(duì)比噪聲比最優(yōu)的權(quán)重,利用該權(quán)重進(jìn)行投影加權(quán)圖像重建,并對(duì)重建圖像進(jìn)行評(píng)估.實(shí)驗(yàn)結(jié)果表明:與當(dāng)前僅考慮泊松噪聲的基于投影加權(quán)的圖像重建方法相比,對(duì)于含鈣材料的模體,利用改進(jìn)方法可明顯提高重建圖像的對(duì)比噪聲比;對(duì)于含碘材料和等效軟組織材料的模體,利用改進(jìn)方法重建的圖像對(duì)比噪聲比則無(wú)顯著統(tǒng)計(jì)差異.
[Abstract]:In order to improve the contrast noise ratio of multi-energy photon counting X-ray CT omnipotent spectrum reconstruction image, an improved image reconstruction method based on projection weighting is proposed. Firstly, three kinds of motifs containing different contrast materials are simulated by projection. The projection sinusoidal graph containing Poisson noise and Gao Si noise is obtained. Then, the noise information is extracted from the projection sinusoidal graph, and the optimization function of the contrast noise ratio about the weight is constructed. Finally, the optimal weight of the contrast noise ratio is solved. The weight is used to reconstruct the projected weighted image, and the reconstructed image is evaluated. The experimental results show that compared with the current projection-weighted image reconstruction method which only considers Poisson noise, The improved method can obviously improve the contrast noise ratio of reconstructed images, while for the motifs of iodine containing materials and equivalent soft tissue materials, the contrast noise ratio of reconstructed images with the improved method has no significant statistical difference.
【作者單位】： 南京航空航天大學(xué)核科學(xué)與工程系;
【基金】：國(guó)家自然科學(xué)基金資助項(xiàng)目(51575256) 中央高�；究蒲袠I(yè)務(wù)費(fèi)專項(xiàng)資金資助項(xiàng)目(NP2015101) 江蘇高校優(yōu)勢(shì)學(xué)科建設(shè)工程資助項(xiàng)目
【分類號(hào)】：TP391.41

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