【摘要】：目的探討基于自動(dòng)分割技術(shù)聯(lián)合基于體素的形態(tài)學(xué)(VBM)觀察帕金森病(PD)患者全腦灰質(zhì)異常區(qū)域及分布特征的應(yīng)用價(jià)值。方法基于自動(dòng)分割技術(shù),應(yīng)用FIRST工具對(duì)29例PD患者(PD組)及30名健康人(對(duì)照組)的T1圖像皮層下灰質(zhì)結(jié)構(gòu)精確分割,對(duì)比兩組各灰質(zhì)結(jié)構(gòu)體積。并應(yīng)用VBM方法對(duì)兩組腦灰質(zhì)圖像進(jìn)行比較。結(jié)果兩組右側(cè)殼核皮層下灰質(zhì)體積差異有統(tǒng)計(jì)學(xué)意義(t=10.201,P0.05)。與對(duì)照組比較,PD組腦灰質(zhì)體積(右側(cè)初級(jí)運(yùn)動(dòng)皮層,雙側(cè)額葉、邊緣葉、部分左側(cè)小腦后葉、右側(cè)小腦前葉、右側(cè)小腦后葉、右側(cè)顳葉、頂葉、殼核及左側(cè)枕葉)廣泛減少,部分左側(cè)小腦后葉體積增加,兩側(cè)半球腦體積缺失不對(duì)稱(右側(cè)大于左側(cè))。結(jié)論通過(guò)FIRST工具可精確分割并直接計(jì)算皮層下灰質(zhì)結(jié)構(gòu)體積,應(yīng)用VBM技術(shù)可定量分析腦結(jié)構(gòu)形態(tài)學(xué)異常;二者結(jié)合可較全面地表現(xiàn)PD腦灰質(zhì)體積廣泛減少的形態(tài)學(xué)特點(diǎn)。
[Abstract]:Objective to evaluate the value of automatic segmentation combined with voxel-based morphological (VBM) in observing the abnormal area and distribution of whole brain gray matter in patients with Parkinson's disease (PD). Methods based on automatic segmentation technique, the subcortical gray matter structure of 29 patients with PD (PD group) and 30 healthy people (control group) were accurately segmented by FIRST tool, and the volume of gray matter structure in the two groups was compared. The gray matter images of the two groups were compared by VBM method. Results there was significant difference in subcortical gray matter volume between the two groups (t 鈮，

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