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Richard M. Leahy

Researcher at University of Southern California

Publications -  419
Citations -  27317

Richard M. Leahy is an academic researcher from University of Southern California. The author has contributed to research in topics: Iterative reconstruction & Imaging phantom. The author has an hindex of 70, co-authored 406 publications receiving 24876 citations. Previous affiliations of Richard M. Leahy include Los Alamos National Laboratory & Johns Hopkins University School of Medicine.

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Journal ArticleDOI

Paired MEG data set source localization using recursively applied and projected (RAP) MUSIC

TL;DR: A new method for processing paired magnetoencephalographic (MEG) data sets using the authors' recursively applied and projected multiple signal classification (RAP-MUSIC) algorithm, shown to be effective in situations where the time series associated with Control and Task activity possess significant cross correlation.
Proceedings ArticleDOI

Matching deformable atlas models to preprocessed magnetic resonance brain images

TL;DR: The approach is to automatically match a deformable anatomical atlas model to preprocessed brain images, where preprocessing consists of 3-D Marr-Hildreth edge detection and morphological operations, to provide a smoothed representation of the brain surface to which the deformable model can rapidly converge.
Journal ArticleDOI

Spatial Distortion Correction and Crystal Identification for MRI-Compatible Position-Sensitive Avalanche Photodiode-Based PET Scanners

TL;DR: Results indicate that the proposed distortion correction scheme and crystal identification method lead to a large reduction in manual labor and indeed can routinely be used for calibration and characterization studies in MRI-compatible PET scanners based on PSAPDs.
Journal ArticleDOI

High-resolution voxelation mapping of human and rodent brain gene expression.

TL;DR: Two devices that allow spatially registered harvesting of voxels from the human and rodent brain, giving linear resolutions of 3.3 and 1 mm, respectively are described, which showed good agreement with known expression patterns.