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Richard C. Lanza

Researcher at Massachusetts Institute of Technology

Publications -  144
Citations -  3407

Richard C. Lanza is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Coded aperture & Detector. The author has an hindex of 26, co-authored 144 publications receiving 3274 citations. Previous affiliations of Richard C. Lanza include Beth Israel Deaconess Medical Center & University of Pennsylvania.

Papers
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Journal ArticleDOI

Pressurized Xenon-Filled Multiwire Proportional Chamber for Radionuclide Imaging

TL;DR: In this article, a proportional chamber radionuclide imaging system has been constructed which has operated at pressures of up to 11 atmospheres absolute using a xenon-methane gas mix.
Patent

Solid/liquid interface detection in continuous casting processes by gamma -ray attenuation

TL;DR: In this paper, a liquid metal/solid metal interface detecting device comprises a radiation source for generating gamma radiation, which is directed to pass through a strand extruded from a continuous casting mold.
Journal ArticleDOI

High-Current Light-Ion Cyclotron for Applications in Nuclear Security and Radioisotope Production

TL;DR: In this article, the authors proposed the conceptual design of a normal conducting, separated-sector cyclotron with a strong-focusing field gradient designed to accelerate light ions with a charge-to-mass ratio of 1/2 up to 15-20 MeV/u.
Journal ArticleDOI

Sub-millimeter technetium-99m calibration sources.

TL;DR: Easily prepared, sub-millimeter Tc-99m spherical calibration sources are described, and it is demonstrated that such sources are useful for measuring the resolution and sensitivity of radioscintigraphic systems, such as those designed for small animal imaging.
Proceedings ArticleDOI

Pattern design and imaging methods in 3-D coded aperture techniques

TL;DR: Coded aperture patterns composed of cyclic difference set uniformly redundant arrays (URA) as mentioned in this paper have the property that the autocorrelation functions have a single peak and flat sidelobes.