We present a new method for rigid registration of CT datasets in 3D Radon space based on sparse sampling of scanning projections. The inputs are the two 3D Radon transforms of the CT scans, one densely sampled and the other sparsely sampled (limited number of scan angles/ranges). The output is the rigid transformation that best matches them. The method first finds the best matching between each...

Artifacts are commonly encountered in clinical computed tomography (CT), and may obscure or simulate pathology. There are many different types of CT artifacts, including noise, beam hardening, scatter, pseudoenhancement, motion, cone beam, helical, ring, and metal artifacts. We review the cause and appearance of each type of artifact, correct some popular misconceptions, and describe modern tec...

Cone beam computed tomography (CBCT) is a diverse 3D x-ray imaging technique that has gained significant popularity in dental radiology the last two decades. CBCT overcomes limitations of traditional two-dimensional and enables accurate depiction multiplanar details maxillofacial bony structures surrounding soft tissues. In this review article, we provide an updated status on summarise technica...

The fastCAT application uses pre-calculated Monte Carlo (MC) CBCT phantom-specific scatter and detector response functions to reduce simulation time for megavoltage (MV) kilovoltage (kV) imaging. Pre-calculated x-ray beam energy spectra, optical spread deposition, phantom kernels are combined with GPU raytracing produce volumes. MV spectra simulated EGSnrc 2.5 6 MeV electron beams incident on a...

Ultra low radiation dose in X-ray Computed Tomography (CT) is an important clinical objective in order to minimize the risk of carcinogenesis. Compressed Sensing (CS) enables significant reductions in radiation dose to be achieved by producing diagnostic images from a limited number of CT projections. However, the excessive computation time that conventional CS-based CT reconstruction typically...