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 …

Techniques of medical image processing and analysis play a crucial role in many clinical
scenarios, including in diagnosis and treatment planning. However, immense quantities of …

The availability of digital X-ray detectors, together with advances in reconstruction
algorithms, creates an opportunity for bringing 3D capabilities to conventional radiology …

Real-time data processing is one of the central processes of particle physics experiments
which require large computing resources. The LHCb (Large Hadron Collider beauty) …

The challenge to fully exploit the potential of existing and upcoming scientific instruments
like large single-dish radio telescopes is to process the collected massive data effectively …

Filtered Back-Projection (FBP) is a fundamental compute intense algorithm used in
tomographic image reconstruction. Cone-Beam Computed Tomography (CBCT) devices …

Background Standard cone-beam computed tomography (CBCT) involves the acquisition of
at least 360 projections rotating through 360 degrees. Nevertheless, there are cases in …

This paper proposes a cache-aware optimization method to accelerate out-of-core cone
beam computed tomography reconstruction on a graphics processing unit (GPU) device …

In scenarios where the use of a Computed Tomography (CT) is difficult, such as during
surgery or in the ICU, the use of a C-arm system to generate tomographic information could …

Computed Tomography (CT) is a widely used technology that requires compute-intense
algorithms for image reconstruction. We propose a novel back-projection algorithm that …