Tomographic image reconstruction is a computationally demanding task, even more so
when advanced models are used to describe a more complete and accurate picture of the …

Positron emission tomography (PET) is a nuclear imaging modality that provides in vivo
quantitative measurements of the spatial and temporal distribution of compounds labeled …

We present a standalone, scalable and high-throughput software platform for PET image
reconstruction and analysis. We focus on high fidelity modelling of the acquisition processes …

There is a need for open-source libraries in emission tomography that (i) use modern and
popular backend code to encourage community contributions and (ii) offer support for the …

In sparse-angle X-ray tomography reconstruction, where only a small number of projection
images are taken around the object, appropriate sinogram interpolation has a significant …

The in situ investigation of dynamic events, ranging from car crash to ballistics, often is key to
the understanding of dynamic material behavior. In many cases the important processes and …

There is a need for open-source libraries in emission tomography that (i) use modern and
popular backend code to encourage community contributions and (ii) offer support for the …

The point-spread-functions (PSFs) of reconstructed images can be deformed due to detector
effects such as resolution blurring and parallax error, data acquisition geometry such as …

Image reconstruction takes the measured coincidence events as the input and estimates the
spatial and temporal distribution of the radioactive tracers within the scanned object. Total …

Iterative reconstruction algorithms are routinely used for clinical practice; however, analytic
algorithms are relevant candidates for quantitative research studies due to their linear …