People often estimate the average duration of several events (e.g., on average, how long does it take to drive from one's home to his or her office). While there is a great deal of research investigating estimates of duration for a single event, few studies have examined estimates when people must average across numerous stimuli or events. The current studies were designed to fill this gap by e...

The reconstruction of a complex scene from multiple images is a fundamental problem in the field of computer vision. Volumetric methods have proven to be a strong alternative to traditional correspondence-based methods due to their flexible visibility models. In this paper we analyse existing methods for volumetric reconstruction and identify three key properties of voxel colouring algorithms: ...

The human brain is in a state of constant change and adaptation. This may be driven either by normal developmental or aging processes or by the effects of learning, training, and new occurrences in daily life. In addition to these aforementioned changes, more systematic influences such as gender, disease, and genes affect the brain’s structure. Using magnetic resonance imaging, brain changes an...

BACKGROUND We evaluated and compared the effects of different NiTi rotary systems--ProTaper Next and New One Shape--on the volume of dentin removed, canal transportation, and canal curvature in extracted human teeth using CBCT scanning with different voxel sizes. METHODS Fifty extracted human maxillary first molars with mesiobuccal canal curvature (25-35°) were used. Specimens were instrument...

This study assessed in vitro the diagnostic ability of cone beam computed tomography (CBCT) scans with different voxel resolutions in the detection of simulated external root resorption (ERR). For that purpose, 59 teeth were viewed through iCAT tomography (Imaging Sciences International, Inc, Hatfield, PA) following three protocols in which the variation was the voxel resolution (0.4, 0.3, and ...

In this study, we carry out viewshed analysis to landscape voxel models derived from airborne laser scanner data. The objective is to make comparisons of viewshed analysis with different voxel models; the ground model representing the bare Earth, the surface model including also all above-ground features, and the combined model, which is formed from the ground model and the laser measurements i...

A parametric voxel-based jewelry modeler is developed for designing carved bangles of sophisticated craftsmanship. Carved jewelry is the form of jewelry having small internal repeated cavities as engraved with a thin sharp tool on the surface of sheet metal. The parameters’ values are defined by the user and modeling of the jewelry design is carried out by the modeler based on the specified val...

We propose a novel algorithm for voxel-by-voxel compartment model analysis based on a maximum a posteriori (MAP) algorithm. Voxel-by-voxel compartment model analysis can derive functional images of living tissues, but it suffers from high noise statistics in voxel-based PET data and extended calculation times. We initially set up a feature space of the target radiopharmaceutical composed of a m...

We present a fully automated technique to segment lesions from multimodal brain MRIs of patients with Multiple Sclerosis. We describe an adapted Markov Random Field that uses intensity at every voxel, its neighbourhood intensity difference information and neighbouring voxel class information to infer voxel labels at every voxel. We test our technique on 25 real, clinical MS volumes evaluated by...

Voxel-based non-rigid registration algorithms have been successfully applied to a wide range of image types. However, in some cases the registration of quite different images, e.g. preand post-resection images, can fail because of a lack of voxel intensity correspondences. One solution is to introduce feature information into the voxel-based registration algorithms in order to incorporate highe...