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Related Experiment Video

Updated: Jun 26, 2026

Visualization of Low-Level Gamma Radiation Sources Using a Low-Cost, High-Sensitivity, Omnidirectional Compton Camera

Visualization of Low-Level Gamma Radiation Sources Using a Low-Cost, High-Sensitivity, Omnidirectional Compton Camera

Published on: January 30, 2020

Extended radiation source imaging with a prototype Compton imager.

John P Sullivan¹, Shawn R Tornga, Mohini W Rawool-Sullivan

¹MS B244, Los Alamos National Laboratory, Los Alamos, NM 87545, USA. sullivan@lanl.gov

Applied Radiation and Isotopes : Including Data, Instrumentation and Methods for Use in Agriculture, Industry and Medicine

|January 3, 2009

Summary

This summary is machine-generated.

This study demonstrates a prototype Compton imager (PCI) using silicon detectors and CsI(Tl) crystals. Iterative algorithms like List-mode maximum likelihood expectation maximization (LM-MLEM) effectively reconstruct images of various radiation sources.

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Last Updated: Jun 26, 2026

Visualization of Low-Level Gamma Radiation Sources Using a Low-Cost, High-Sensitivity, Omnidirectional Compton Camera

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Published on: January 30, 2020

Neutron Radiography and Computed Tomography of Biological Systems at the Oak Ridge National Laboratory's High Flux Isotope Reactor

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Published on: May 7, 2021

A Basic Positron Emission Tomography System Constructed to Locate a Radioactive Source in a Bi-dimensional Space

A Basic Positron Emission Tomography System Constructed to Locate a Radioactive Source in a Bi-dimensional Space

Published on: February 1, 2016

Area of Science:

Nuclear instrumentation
Radiation detection and imaging

Background:

Traditional imaging methods struggle with extended radiation sources.
Compton imaging offers a promising alternative for visualizing radiation distributions.

Purpose of the Study:

To evaluate the performance of a prototype Compton imager (PCI).
To demonstrate the efficacy of iterative reconstruction algorithms for Compton imaging.

Main Methods:

Utilized a PCI with silicon pixel detectors and CsI(Tl) crystals.
Employed List-mode maximum likelihood expectation maximization (LM-MLEM) for image reconstruction.
Corroborated results with GEANT4 simulations.

Main Results:

Successfully reconstructed images of both point and extended radiation sources.
Iterative algorithms provided necessary de-convolution for improved image quality.
LM-MLEM typically required 10-30 iterations for convergence.

Conclusions:

The prototype Compton imager (PCI) shows potential for accurate radiation source imaging.
Iterative reconstruction algorithms are crucial for resolving complex source distributions.
LM-MLEM is a viable method for image reconstruction in Compton imaging systems.