CAJ | 학술논문

本研究通过对18例老年轻度认知障碍（Mild Cognitive Impairment，MCI）患者及18例健康对照者，采用灰度共生矩阵和游程长矩阵方法提取受试者胼胝体部位的三维纹理特征参数（对比度、逆差距、熵、短游程因子、长游程因子、灰度不均匀度因子、游程长不均匀度因子），研究比较各纹理特征在两组之间的差异。研究结果显示，所提取的7个纹理参数中除灰度不均匀度因子外，其余均存在显著性差异。研究表明三维纹理特征能一定程度上反映MCI患者胼胝体部位的病理变化，从而有助于MCI的早期诊断。
본연구통과대18례노년경도인지장애（Mild Cognitive Impairment，MCI）환자급18례건강대조자，채용회도공생구진화유정장구진방법제취수시자변지체부위적삼유문리특정삼수（대비도、역차거、적、단유정인자、장유정인자、회도불균균도인자、유정장불균균도인자），연구비교각문리특정재량조지간적차이。연구결과현시，소제취적7개문리삼수중제회도불균균도인자외，기여균존재현저성차이。연구표명삼유문리특정능일정정도상반영MCI환자변지체부위적병리변화，종이유조우MCI적조기진단。
To explore the 3D texture features of corpus callosum in magnetic resonance images from the patients with mild cognitive impairment (MCI), this paper selected T1-weighted MRI of 18 MCI patients and 18 normal controls, extracted 3D texture features of the corpus callosum, including contrast, inverse difference moment, entropy, short run emphasis, long run emphasis, grey level nonuniformity, run length nonuniformity from the gray level co-occurrence matrix and run length matrix. The results showed that the 3D texture features had signiifcant differences between two groups except grey level nonuniformity. It indicated that 3D texture analysis can relfect the pathological changes of corpus callosum in patients with MCI, and it may be helpful to the MCI’s early diagnosis.