北京生物醫(yī)學(xué)工程

阿爾茨海默病的MR圖像三維紋理的灰度游程分析

Gray level run length matrices analysis of MR images in Alzheimer’s disease

作者：夏翃劉衛(wèi)芳童隆正王旭周震

單位：首都醫(yī)科大學(xué)生物醫(yī)學(xué)工程學(xué)院(北京100069)

關(guān)鍵詞：阿爾茨海默病; MRI; 胼胝體; 灰度游程長(zhǎng)矩陣

分類號(hào)：

出版年·卷·期（頁(yè)碼）：2013·32·6（575-578）

摘要：

目的灰度游程長(zhǎng)矩陣參數(shù)可以反映圖像紋理的粗細(xì)及均勻程度。本研究采用該方法研究阿爾茨海默病

(Alzheimer’s disease, AD)患者腦MR圖像中胼胝體的三維紋理特征，以反映AD患者胼胝體部位的病理變化

，從而探索該紋理特征分析方法在該疾病診斷中的應(yīng)用。方法選取18例AD患者及18例健康對(duì)照者，采用灰

度游程長(zhǎng)矩陣提取每位受試者胼胝體部位的4個(gè)三維紋理特征參數(shù)：短游程因子、長(zhǎng)游程因子、灰度不均勻

度和游程長(zhǎng)不均勻度。比較兩組間各紋理特征的差異，并分析這些紋理參數(shù)與臨床廣泛應(yīng)用的簡(jiǎn)易智能狀態(tài)

檢查量表(mini-mental state examination, MMSE)評(píng)分之間的相關(guān)性。結(jié)果 4個(gè)紋理參數(shù)兩組相比較均有

顯著性差異，且與MMSE評(píng)分均具有相關(guān)性。結(jié)論基于三維紋理特征的灰度游程分析法能在一定程度上反映

出AD患者胼胝體部位的病理變化，可能用于該疾病的臨床診斷。

Objective To explore the 3D texture features of corpus callosum in magnetic

resonance images from the patients with Alzheimer’s disease and to discuss the application of

texture features in diagnosis of AD. Methods T1-weighted MRIs of 18 AD patients and 18 normal

controls were selected. 3D texture features of the corpus callosum, including short run

emphasis, long run emphasis, grey level nonuniformity and run length nonuniformity, were

extracted from the run length matrix. Finally, statistic significance was tested between the

two groups, and the correlations between the parameters and the widely used method—mini-

mental state examination (MMSE) were calculated. Results The differences of the 3D texture

features were significant between the two groups, and they were correlated with MMSE scores.

Conclusions 3D texture analysis can reflect the pathological changes of corpus callosum in

patients with AD and may be helpful to the diagnosis.

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. Przeglad Elektrotechniczny, ISSN 0033-2097, R. 89 NR 4/2013.

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