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

Following literature contributions delineating the deficiencies introduced by the
approximations of conventional brachytherapy dosimetry, different model-based dosimetry …

High radiation dose in computed tomography (CT) scans increases the lifetime risk of cancer
and has become a major clinical concern. Recently, iterative reconstruction algorithms with …

Purpose: It is a known fact that Monte Carlo simulations of radiation transport are
computationally intensive and may require long computing times. The authors introduce a …

A four-dimensional deformable image registration (4D DIR) algorithm, referred to as 4D local
trajectory modeling (4DLTM), is presented and applied to thoracic 4D computed tomography …

Online adaptive radiation therapy (ART) promises the ability to deliver an optimal treatment
in response to daily patient anatomic variation. A major technical barrier for the clinical …

Accurate radiation dose calculation is essential for successful proton radiotherapy. Monte
Carlo (MC) simulation is considered to be the most accurate method. However, the long …

The x-ray imaging dose from serial cone-beam computed tomography (CBCT) scans raises
a clinical concern in most image-guided radiation therapy procedures. It is the goal of this …

Purpose: Monte Carlo methods are considered as the gold standard for dosimetric
computations in radiotherapy. Their execution time is, however, still an obstacle to the …

Monte Carlo (MC) simulation is commonly considered to be the most accurate dose
calculation method in radiotherapy. However, its efficiency still requires improvement for …