Prospects for Early Detection of Alzheimers Disease from Serial MR Images in Transgenic Mouse Models

Abstract

Abstract:The existing literature on the magnetic resonance imaging of murine models of Alzheimer's disease is reviewed. Particular attention is paid to the possibilities for the early detection of the disease. To this effect, not only are relaxometric and volumetric approaches discussed, but also mathematical models for plaque distribution and aggregation. Image analysis plays a prominent role in this line of research, as stochastic image models and texture analysis have shown some success in the classification of subjects affected by Alzheimer's disease. It is concluded that relaxometric approaches seem to be a promising candidate for the task at hand, especially when combined with sophisticated image analysis, and when data from more than one time-point is available. There have been few longitudinal studies of mice models so far, so this direction of research warrants future efforts.

Pathological correlates of magnetic resonance imaging texture heterogeneity in multiple sclerosis

“…Depending on the analytical methods employed, texture can be represented by statistical parameters, spatial frequency, or structural primitives . Using mostly the former two outcomes, MRI texture analysis studies in the literature show promise in discriminating pathological from normal tissue in various diseases in the brain and spinal cord, and other organs . In MS, statistical texture analysis shows gray matter and spinal cord texture to correlate with disability and white matter texture to associate with cognition 14 ; moreover, based on local spatial frequency analysis, texture analysis distinguishes T2 lesion activity, identifies persistent and transient T1 hypointense lesions at acute onset, and predicts disease progression over 2 years using baseline lesion texture.…”

Study on Texture Features of Cingulum in Different Gender Patients with Alzheimer’s Disease and Mild Cognitive Impairment Based on MR Images

“…The texture features of images can effectively reflect the pathological changes that eyes can not detect. The research on MR images of mouse model confirmed that the texture analysis could successfully identify rats with AD [7]. On this basis, this paper intends to analyse the texture characteristics of cingulum in AD patients, MCI patients and the normal controls (NC).…”

A review of β-amyloid neuroimaging in Alzheimer's disease

“…Relaxometry studies involve statistical analysis of measures of longitudinal and transverse relaxation values in regions of interest for differences between AD transgenic mouse brains and age-matched non-transgenic mouse brains that could be attributed to Aβ deposition. The advantage of this method is, being based on ROIs, it is less reliant on resolution (Muskulus et al, 2009). In direct imaging of plaques the very small size of many plaques requires a resolution with appropriately small voxel dimensions.…”