Voxel coloring is one of the well-known methods for reconstructing a 3D shape from 2D images. The conventional methods cause a trade-off problem between precision and stability, when they reconstruct 3D shapes. In this paper, we present a novel approach to solve the trade-off problems. This method searches the real surface voxel on comparing the photo-consistency of an inside voxel on the optic...

AIM To examine the influence of the field of view (FOV) and voxel size on the measurement of the volume of simulated internal root resorption (IRR) lesions through cone-beam computed tomography (CBCT). METHODOLOGY Eleven single-rooted teeth with IRR simulated by acid demineralization were studied. CBCT images were acquired using large FOV (voxel sizes of 0.200, 0.250 and 0.300 mm) and limited...

We present a new model for fanning and bending white matter structures on a sub-voxel scale. We devise a parametric model of how the fibre orientation varies spatially over each sub-voxel in the voxel grid for both types of configuration. Fitting the model provides quantitative information about the degree of fanning or bending in each voxel. We demonstrate using data from a standard human brai...

Tomographic images with absolute units have been reconstructed successfully from Small Angle X-ray Scattering (SAXS) intensities of an interdiffusion layer a precipitation strengthened model alloy cut multilayered Al/Al–Zn/Al sample after heat treatment. Cross sectional specimen Zn concentration distribution was obtained the mass attenuation coefficient; volume fraction precipitates SAXS integr...

Voxel-based approaches are today’s standard to encode volume data. Recently, directed acyclic graphs (DAGs) were successfully used for compressing sparse voxel scenes as well, but they are restricted to a single bit of (geometry) information per voxel. We present a method to compress arbitrary data, such as colors, normals, or reflectance information. By decoupling geometry and voxel data via a...

Spatial resolution is a key parameter that determines the smallest resolved scale in volumetric computed tomography. However, evaluation process typically confined within plane, and tomographic usually treated as two dimensional concept. In this work, full map of three-dimensional (3D) spatial along radial directions was obtained through combined laser induced fluorescence measurement on well-c...

Clustering algorithms have found application in tissue classification in MRI. Standard techniques such as k-means iteratively define intensity clusters based on the distribution of voxels in intensity space. Spectral clustering is potentially more powerful as it models voxel-to-voxel relationships rather than voxel-to-cluster relationships. Unfortunately, for images of n-voxels naive applicatio...