Freeborough P A, Fox N C
IEEE Trans Med Imaging. 1998 Jun;17(3):475-9. doi: 10.1109/42.712137.
We assess the value of magnetic resonance (MR) image texture in Alzheimer's disease (AD) both as a diagnostic marker and as a measure of progression. T1-weighted MR scans were acquired from 40 normal controls and 24 AD patients. These were split into a training set (20 controls, 10 AD) and a test set (20 controls, 14 AD). In addition, five control subjects and five AD patients were scanned repeatedly over several years. On each scan a texture feature vector was evaluated over the brain; this consisted of 260 measures derived from the spatial gray-level dependence method. A stepwise discriminant analysis was applied to the training set, to obtain a linear discriminant function. In the test set, this function yielded significantly different values for the control and AD groups (p < 10(-4)) with only small group overlap; a classification rate of 91% was obtained. For the repeatedly scanned control subjects, the median increment in the discriminant function between successive scans of 0.12 was not significantly different from zero (p > 0.05); for the repeatedly scanned AD patients the corresponding median increment of 1.4 was significantly different from zero (p < 0.05). MR image texture may be a useful aid in the diagnosis and tracking of Alzheimer's disease.
我们评估磁共振（MR）图像纹理在阿尔茨海默病（AD）中的价值，既作为一种诊断标志物，也作为疾病进展的一种衡量指标。对40名正常对照者和24名AD患者进行了T1加权MR扫描。这些被分为一个训练集（20名对照者，10名AD患者）和一个测试集（20名对照者，14名AD患者）。此外，对5名对照受试者和5名AD患者进行了数年的重复扫描。在每次扫描中，对大脑评估一个纹理特征向量；它由源自空间灰度依赖方法的260项测量值组成。对训练集应用逐步判别分析，以获得一个线性判别函数。在测试集中，该函数在对照组和AD组中产生了显著不同的值（p < 10^(-4)），且两组重叠很小；分类率为91%。对于重复扫描的对照受试者，连续扫描之间判别函数的中位数增量为0.12，与零无显著差异（p > 0.05）；对于重复扫描的AD患者，相应的中位数增量为1.4，与零有显著差异（p < 0.05）。MR图像纹理可能有助于阿尔茨海默病的诊断和追踪。
