Three dimensional (3D) printing technology has been widely evaluated for the fabrication of
various anthropomorphic phantoms during the last couple of decades. The demand for such …

Objective Evaluation of image characteristics at ultra-low radiation dose levels of a first-
generation dual-source photon-counting computed tomography (PCCT) compared to a dual …

Background Recently, computed tomography (CT) manufacturers have developed deep‐
learning‐based reconstruction algorithms to compensate for the limitations of iterative …

Lung cancer screening would benefit from low-dose CT protocols optimized by means of a
highly accurate three-dimensional radiation-equivalent thoracic phantom. However, whether …

The validation of the accuracy of the quantification software in computed tomography (CT)
images is very challenging. Therefore, we proposed a CT imaging phantom that accurately …

Background To determine the spectral accuracy in detector-based dual-energy CT (DECT)
at 100 kVp and wide (8 cm) collimation width for dose levels and object sizes relevant to …

Objective. There is a continuous increase in 3D printing applications in several fields
including medical imaging and radiotherapy. Although there are numerous advantages of …

Abstract 3D printing in medical physics provides opportunities for creating patient‐specific
treatment devices and in‐house fabrication of imaging/dosimetry phantoms. This study …

Objective. In this study, a novel voxel-by-voxel mixing method is presented, according to
which two filaments of different material are combined during the three dimensional (3D) …

Objective. Deep learning reconstruction (DLR) algorithms exhibit object-dependent
resolution and noise performance. Thus, traditional geometric CT phantoms cannot fully …