本文選題：體層攝影術(shù) + X線計(jì)算機(jī)　； 參考：《中國醫(yī)學(xué)影像技術(shù)》2017年05期

【摘要】：目的探討自適應(yīng)迭代重建技術(shù)(ASIR)結(jié)合高分辨算法對兒童低劑量胸部CT肺部結(jié)構(gòu)顯示的影響。方法回顧性分析接受低劑量胸部CT檢查且存在肺內(nèi)病變的患兒42例,0~12個(gè)月預(yù)設(shè)噪聲指數(shù)12,1~2歲預(yù)設(shè)噪聲指數(shù)15,3~6歲預(yù)設(shè)噪聲指數(shù)17,≥7歲預(yù)設(shè)噪聲指數(shù)20。將所有圖像應(yīng)用Soft、Standard、Lung、Chest分辨率模式重建為層厚0.625mm的圖像。以10%為步漲值,重建ASIR權(quán)重為0%~100%的11組圖像。由2名醫(yī)師分別用5分制評分法主觀評價(jià)肺窗圖像質(zhì)量,包括圖像主觀噪聲、正常肺結(jié)構(gòu)及病變的顯示能力,5分為最佳。統(tǒng)計(jì)學(xué)分析比較最佳的后處理算法,以及與之匹配的最佳ASIR權(quán)重。結(jié)果 Lung模式為觀察肺部病變最佳的高分辨算法,ASIR 60%權(quán)重重建圖像主觀評分最佳。結(jié)論采用ASIR 60%權(quán)重結(jié)合Lung高分辨算法可更好地顯示兒童低劑量胸部CT的肺部結(jié)構(gòu)。
[Abstract]:Objective to investigate the effect of adaptive iterative reconstruction (ASIRI) combined with high resolution algorithm on lung structure of low dose chest CT in children. Methods A retrospective analysis was made on 42 cases of children with pulmonary lesions who received low dose chest CT examination. The preset noise index was 12 ~ 12 months old. The preset noise index of 15 ~ 3 years old was 17 years old and that of 鈮，

本文編號：2018871