Short-term brain atrophy changes in relapsing–remitting multiple sclerosis

Longitudinal Mixed-Effect Model Analysis of the Association between Global and Tissue-Specific Brain Atrophy and Lesion Accumulation in Patients with Clinically Isolated Syndrome

“…The impact of acute inflammation on the evolution of brain-volume changes remains unclear at this time. [26][27][28][29][30] The transient nature of CE lesions can be better captured by using frequent serial scanning, which may not be feasible in long-term studies. 26,27 The findings from this study support the notion that brain atrophy and active inflammation may occur simultaneously, and that monitoring the accumulation of new/enlarging T2 lesions can better reflect this relationship than monitoring CE lesions.…”

Methods on Skull Stripping of MRI Head Scan Images—a Review

“…Because the brain images that have preprocessed with automatic skull stripping eventually lead to get better segmentation of different brain regions which results for accurate diagnosis of various brainrelated diseases. The brain regions must be skull-stripped prior to the application of other image processing algorithms such as image registration and warping [18], brain volumetric measurement [19], inhomogeneity correction [20], tissue classification [21], analysis of cortical structure [22], cortical surface reconstruction [23], cortical thickness estimation [24], identification of brain parts [25], multiple sclerosis analysis [26], Alzheimer's disease [27], schizophrenia [28], and monitoring the development or aging of the brain [29]. Some skull stripping results of 2D brain slices and 3D brain volumes are illustrated in Fig.…”

Skull-stripping magnetic resonance brain images using a model-based level set

“…Skull stripping is an important preprocessing step in neuroimaging analyses because brain images must typically be skull stripped before other processing algorithms such as registration, tissue classification or bias field correction can be applied (Woods et al, 1998(Woods et al, , 1999Van Horn et al, 1998;Shattuck et al, 2001;Strother et al, 2004). In practice, skull stripping is widely used in neuroimaging analyses such as multi-modality image fusion and intersubject image comparisons (Woods et al, 1998(Woods et al, , 1999; examination of the progression of brain disorders such as Alzheimer's Disease (Rusinek et al, 1991;Thompson et al, 2001), multiple sclerosis (Bermel et al, 2003;Horsfield et al, 2003;Zivadinov et al, 2004;Sharma et al, 2004) and schizophrenia Tanskanen et al, 2004); monitoring the development or aging of the brain (Jernigan et al, 2001;Blanton et al, 2004); and creating probabilistic atlases from large groups of subjects (Mazziotta et al, 2001).…”