Multimodal Image Coregistration and Partitioning—A Unified Framework

TL;DR: The resultssuggeststhathypofrontality couldbeamarker ofschizophreniaatthe time of the firstsch schizophrenia atthetime of thefirstpsychoticepisode, in agreement with psychosomatic illness theories.

TL;DR: Some of the principles and methods employed in the ongoing research making use of gadolinium (Gd)-enhanced magnetic resonance imaging (MRI) to investigate BBB disruption in multiple sclerosis (MS) are described.

TL;DR: A general technique that facilitates nonlinear spatial (stereotactic) normalization and image realignment is presented that minimizes the sum of squares between two images following non linear spatial deformations and transformations of the voxel (intensity) values.

TL;DR: A computer algorithm for the three-dimensional alignment of PET images is described that relies on anatomic information in the images rather than on external fiducial markers and can be applied retrospectively, during acquisition, to reposition the scanner gantry and bed to match an earlier study.

TL;DR: The authors have collected over 300 MRI volumetric datasets from normal individuals and transformed these datasets into stereotaxic space using a 3D linear re-sampling algorithm, and generated a series of statistical measures which express this population nonlinear variability in the form of parametric volumes.

TL;DR: The results indicate that retrospective techniques have the potential to produce satisfactory results much of the time, but that visual inspection is necessary to guard against large errors.