基于噪聲功率譜的CT圖像噪聲評價
發(fā)布時間:2018-07-16 14:49
【摘要】:目的設(shè)計(jì)并探討基于噪聲功率譜(NPS)的CT圖像噪聲評價方法。方法改變CT圖像掃描參數(shù)以及重建參數(shù)獲取圖像,采用NPS與傳統(tǒng)標(biāo)準(zhǔn)差(SD)兩種方法對該圖像進(jìn)行噪聲檢測,并對比兩種檢測結(jié)果。結(jié)果 NPS曲線幅值與層厚和劑量成反比,與重建算法的增強(qiáng)程度成正比。重建算法、層厚和劑量對噪聲指數(shù)的影響能夠在NPS曲線上得到明顯的體現(xiàn)。結(jié)論 NPS能夠從幅值與頻率方面反應(yīng)噪聲變化,與SD方法相結(jié)合可形成更為完善的噪聲評價體系。
[Abstract]:Objective to design and discuss the noise evaluation method of CT image based on noise power spectrum (NPS). Methods the scanning parameters and reconstruction parameters of CT images were changed to obtain the images. The noise detection of the images was performed by NPS and traditional standard deviation (SD), and the two detection results were compared. Results the amplitude of NPS curve is inversely proportional to the thickness and dose of the layer and is directly proportional to the enhancement degree of the reconstruction algorithm. The reconstruction algorithm, the effect of thickness and dose on the noise index can be clearly reflected on the NPS curve. Conclusion NPS can respond to noise changes in terms of amplitude and frequency, and a more perfect noise evaluation system can be formed by combining with SD method.
【作者單位】: 南方醫(yī)科大學(xué)生物醫(yī)學(xué)工程學(xué)院;
【基金】:廣州市行業(yè)工程中心建設(shè)項(xiàng)目(穗科信條[2010]13-1)
【分類號】:R814.42
本文編號:2126722
[Abstract]:Objective to design and discuss the noise evaluation method of CT image based on noise power spectrum (NPS). Methods the scanning parameters and reconstruction parameters of CT images were changed to obtain the images. The noise detection of the images was performed by NPS and traditional standard deviation (SD), and the two detection results were compared. Results the amplitude of NPS curve is inversely proportional to the thickness and dose of the layer and is directly proportional to the enhancement degree of the reconstruction algorithm. The reconstruction algorithm, the effect of thickness and dose on the noise index can be clearly reflected on the NPS curve. Conclusion NPS can respond to noise changes in terms of amplitude and frequency, and a more perfect noise evaluation system can be formed by combining with SD method.
【作者單位】: 南方醫(yī)科大學(xué)生物醫(yī)學(xué)工程學(xué)院;
【基金】:廣州市行業(yè)工程中心建設(shè)項(xiàng)目(穗科信條[2010]13-1)
【分類號】:R814.42
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