Graphics processing units (GPUs) are used today in a wide range of applications, mainly
because they can dramatically accelerate parallel computing, are affordable and energy …

The graphics processing unit (GPU) has emerged as a competitive platform for computing
massively parallel problems. Many computing applications in medical physics can be …

Iterative methods for 3D image reconstruction have the potential to improve image quality
over conventional filtered back projection (FBP) in X-ray computed tomography (CT) …

A fast search algorithm capable of operating in multi-dimensional spaces is introduced. As a
sample application, we demonstrate its utility in the 2D and 3D maximum-likelihood position …

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 …

Purpose: List‐mode processing is an efficient way of dealing with the sparse nature of
positron emission tomography (PET) data sets and is the processing method of choice for …

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

Statistically based iterative image reconstruction has been widely used in positron emission
tomography (PET) imaging. The quality of reconstructed images depends on the accuracy of …

X-ray computed tomography (XCT) is used regularly at synchrotron light sources to study the
internal morphology of materials at high resolution. However, experimental constraints, such …

Realizing the full potential of high-resolution positron emission tomography (PET) systems
involves accurately positioning events in which the annihilation photon deposits all its …