Direct volume rendering techniques allow visualization of volume data without extracting intermediate geometry. The mapping from voxel attributes to optical properties is performed by transfer functions which, consequently, play a crucial role in building informative images from the data. One-dimensional transfer functions, which are based only on a scalar value per voxel, often do not provide ...

Transfer functions are fundamentals for direct volume rendering to visualize object through mapping optical properties to the voxel data values. One aspect of direct volume rendering which has received no attention in transfer function design is the use of voxel position in transfer functions. Often, there are features of interest in volume data that are visualized or not depending on their vox...

Accurate 3D object detection from point clouds has become a crucial component in autonomous driving. However, the volumetric representations and projection methods previous works fail to establish relationships between local sets. In this paper, we propose Sparse Voxel-Graph Attention Network (SVGA-Net), novel end-to-end trainable network which mainly contains voxel-graph module sparse-to-dense...

A ray-driven backprojector is based on ray-tracing, which computes the length of the intersection between the ray paths and each voxel to be reconstructed. To reduce the computational burden caused by these exhaustive intersection tests, we propose a fully graphics processing unit (GPU)-based ray-driven backprojector in conjunction with a ray-culling scheme that enables straightforward parallel...

This study investigated the implications of different assumptions 3D forest stand reconstructions for accuracy and efficiency radiative transfer (RT) modeling based on two highly detailed representations: 3D-explicit voxel-based. The discrete anisotropic (DART) model was used RT simulations. voxel-based scenes were as structural inputs DART model, respectively. Using simulation benchmark, evalu...

A spectral analysis approach was used to estimate kinetic parameters of the L-[1-(11)C]leucine positron emission tomography (PET) method and regional rates of cerebral protein synthesis (rCPS) on a voxel-by-voxel basis. Spectral analysis applies to both heterogeneous and homogeneous tissues; it does not require prior assumptions concerning number of tissue compartments. Parameters estimated wit...

background although magnetic resonance spectroscopy (mrs) has been shown as an effective diagnostic tool in distinguishing inflammation from neoplasm in cystic brain lesions, the optimum approach in selecting the portions of lesions in mrs and the possible effects of different times of echoes (tes) remains unknown. objectives to determine the most effective te in diagnosing neoplastic lesions b...

An analysis of a rasterization algorithm for generating supercover planes in 3D voxel space is presented. The derived algorithm is an extension to the classical 2D line rasterization algorithm. Additional voxels needed to form the supercover 3D plane are identified by rasterizing two additional 2D lines per volume slice. A discussion on how to modify the algorithm to rasterize finite supercover...

Conversion of unorganized point clouds to surface reconstructions is increasingly required in the mobile robotics perception processing pipeline, particularly with the rapid adoption of RGB-D (color and depth) image sensors. Many contemporary methods stem from the work in the computer graphics community in order to handle the point clouds generated by tabletop scanners in a batch-like manner. T...

Introduction: Single-voxel H MR spectroscopy of human breast cancer has become increasingly common, with clinical applications in diagnosis and treatment monitoring, and multi-site clinical trials currently in progress. In order for these measurements to be useful in characterizing lesions, the MRS voxel placement must be accurate and consistent. Poor voxel placement creates partial volume erro...