T
Terry M. Peters
Researcher at University of Western Ontario
Publications - 531
Citations - 21847
Terry M. Peters is an academic researcher from University of Western Ontario. The author has contributed to research in topics: Image registration & Imaging phantom. The author has an hindex of 59, co-authored 508 publications receiving 20342 citations. Previous affiliations of Terry M. Peters include University of London & Lawson Health Research Institute.
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Journal ArticleDOI
Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space
TL;DR: A fully automatic registration method to map volumetric data into stereotaxic space that yields results comparable with those of manually based techniques and therefore does not suffer the drawbacks involved in user intervention.
Proceedings ArticleDOI
3D statistical neuroanatomical models from 305 MRI volumes
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.
Journal ArticleDOI
Anatomic basis of amygdaloid and hippocampal volume measurement by magnetic resonance imaging
Craig Watson,Frederick Andermann,P. Gloor,Marilyn Jones-Gotman,Terry M. Peters,Alan C. Evans,André Olivier,Denis Melanson,G. Leroux +8 more
TL;DR: A protocol to measure the volumes of the amygdala and as much of the hippocampus using high-resolution MRI to clarify the role of this structure in the pathogenesis of temporal lobe epilepsy is developed.
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Transcranial Magnetic Stimulation during Positron Emission Tomography: A New Method for Studying Connectivity of the Human Cerebral Cortex
TL;DR: It is suggested that the combined TMS/PET technique offers an objective tool for assessing the state of functional connectivity without requiring the subject to engage in any specific behavior.
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Rapid combined T1 and T2 mapping using gradient recalled acquisition in the steady state.
TL;DR: The method permits real‐time clinical acquisition and display of whole brain T1 and T2 maps for the first time and represents the most efficient of those examined.