RETRACTED ARTICLE: A voxel based morphometry approach for identifying Alzheimer from MRI images

A voxel based morphometry (VBM) which makes use of a structural brain magnetic resonance imaging (MRI) is now being employed widely for the purpose of assessing the various normal ageing of Alzheimer’s diseases (AD). VBM of the MRI data will contain segmentation within the grey and white matter, the cerebrospinal fluid and its partitions along with that of their anatomical image and its standardization inside the analogous stereotactic region. It further includes the affine transformation with a non-linear warping of the smoothing as well as a statistical investigation. In case there is a cognitive failure that is related to age called Dementia that has been indicated with that of a degeneration of the cortical and the sub-cortical structures. The characterization of such types of morphological changes will help in the understanding of the development of these diseases and the modelling will tend to capture the structural variability of brain which is a valid classification for this disease and its interpretation is found to be quite challenging. Here such features have also been extracted by means of using a curvelet transform along with a principal component analysis (PCA) for this technique of reduction of dimensionality. The Bagging as well as the boosting classifiers have been duly evaluated for their efficiency in classifying dementia. The work will further evaluate the framework by using images from that of the Alzheimer’s disease neuroimaging initiative (ADNI) for identifying dementia. Such results have shown that this classifier proposed has now achieved better accuracy.