Gamma ray tomography (GRT) is a non-invasive imaging technique primarily used to characterize multiphase flows within industrial processes. Utilizing gamma radiation attenuation, this technique allows for visualization and detailed analysis of the internal structure and dynamics of materials flowing through pipelines or vessels.

Gamma ray tomography experienced substantial advancements starting in the 1990s, notably driven by research conducted at the University of Bergen, Norway. The university pioneered high-speed gamma-ray tomography setups optimized for studying complex multiphase flows, establishing itself as a leader in industrial tomography research.

A significant development occurred with the second-generation gamma ray tomography system, collaboratively designed by the University of Bergen and Prototech [no] for the Saskatchewan Research Council (SRC). Delivered in 2016, this advanced unit significantly enhanced real-time imaging capabilities, capturing up to 100 frames per second with improved spatial resolution. This unit has since become integral to SRC's Pipe Flow Technology Centre, facilitating advanced analysis of slurry pipeline dynamics and predictive modeling of multiphase flows.

Gamma ray tomography operates based on gamma-ray densitometry, governed by Beer–Lambert's law:

${\displaystyle I=I_{0}Be^{-\int {\mu (x)dx}}}$

Here, ${\displaystyle I}$ is the measured intensity, ${\displaystyle I_{0}}$ is the source intensity, ${\displaystyle B}$ is the build-up factor, ${\displaystyle \mu }$ is the linear attenuation coefficient, and ${\displaystyle x}$ is the path length between the source and detector.

According to this principle, a narrow beam of monochromatic gamma radiation emitted from a source attenuates exponentially when passing through a material, enabling measurement of the material's density distribution along defined paths. Multiple gamma-ray sources and detectors arranged around the investigated material facilitate detailed cross-sectional image reconstruction using algorithms such as the Iterative Least Squares Technique (ILST).

The linear attenuation coefficient ${\displaystyle \mu }$ depends on material properties and photon energy. To optimize measurement accuracy, careful selection of the geometry dimensions and radioactive source with an appropriate photon energy level is crucial. The relative uncertainty in gamma densitometry measurements can be expressed as: