Objective To evaluate the positive value of texture analysis in early diagnosis for Alzheimer’s disease (AD) by means of comparing the discriminative ability of texture analysis and morphologic measure. Methods The texture parameters of hippocampus were firstly extracted from 29 patients with AD and 19 normal controls (NC), and then the morphological indexes, such as the thinnest medial temporal lobe (tMTL), the volumes of hippocampal formation (HF) were measured. Based on t test, discriminant analyses of both texture parameters in hippocampus and morphological indexes were respectively conducted. Finally, the value of Kappa was used to evaluate the consistency between two methods.  Results The texture features such as sum average (SAV) and energy (ENG) in hippocampus were significantly different between AD and NC groups (p<0.01). The discriminations of SAV in hippocampus and the morphological indicator tMTL were both 97.9%. By a stepwise discriminant analysis, the classification accuracy of discriminant by combining texture parameters was 97.9%. With Kappa test, Kappa value between texture analysis and morphological measure was 0.957 (p<0.001). Conclusion Texture analysis of MR images is consistent well with the morphological measure. This study may be helpful in the early diagnosis of AD.