scispace - formally typeset
R

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.

Papers
More filters
Journal ArticleDOI

An equal start: absence of group differences in cognitive, social, and neural measures prior to music or sports training in children

TL;DR: A longitudinal investigation of the effects of childhood music training on cognitive, social and neural development found no neural, cognitive, motor, emotional, or social differences among the three groups and found no correlation between music perception skills and any of the social or emotional measures.
Journal ArticleDOI

Global point signature for shape analysis of carpal bones.

TL;DR: The utility of the proposed GPS representation is demonstrated to provide a means for comparing shapes of the carpal bones across populations and to employ a metric that exploits the scale and isometric invariance of eigenfunctions to quantify overall bone shape.
Journal ArticleDOI

Internet2-based 3D PET image reconstruction using a PC cluster.

TL;DR: An approach to fast iterative reconstruction from fully three-dimensional (3D) PET data using a network of PentiumIII PCs configured as a Beowulf cluster is described and a browser-based interface is developed using Java to facilitate the use of this system.
Journal ArticleDOI

Information theoretic regularization in diffuse optical tomography

TL;DR: In this article, the authors examined the possibility of regularizing diffuse optical tomography via the introduction of a priori information from alternative high-resolution anatomical modalities, using the information theory concepts of mutual information (MI) and joint entropy (JE).
Journal ArticleDOI

Excitation spectroscopy in multispectral optical fluorescence tomography: methodology, feasibility and computer simulation studies

TL;DR: A linear algebraic formulation of the multiple wavelength illumination-multispectral detection forward model for OFT is described and the performance of the method for 3D reconstruction of tumors in a simulated mouse model of metastatic human hepatocellular carcinoma is demonstrated.