Functional Magnetic Resonant Imaging (fMRI) is a non-invasive imaging technique used to study the brain. Neuroscientists have developed various algorithms to determine which voxels of the images are active. Most of these algorithms, operating on the signal of each voxel separately, are referred to as the voxel-by-voxel detectors. Among those voxel-by-voxel detectors, paired T-test and General L...

This paper presents a technique for color-shading ooset surfaces of CSG models. The ooset surfaces are generated by rst scan converting the CSG model into a distance volume. A distance volume is a volume dataset where the value stored at each voxel is the shortest distance to the surface of the object being represented by the volume. Extracting iso-surfaces from the distance volume at various o...

Magnetic resonance imaging (MRI) is used to identify the major tissues within a subject’s brain. Classification is usually based on a single image providing one measurement for each volume element, or voxel, in a discretization of the brain. A simple model views each voxel as homogeneous, belonging entirely to one of the three major tissue types (gray matter, white matter, and cerebro-spinal fl...

fMRI system shows that all the information of the brain that is represented in the subject of the brain at a particular point in time. The MVPA approach has lead to several impressive facts of brain reading. fMRI data uses Multivoxel pattern analysis (MVPA) approach to relate the neural activities to cognition. A challenging factor is to build a generalizable classification model because the nu...

INTRODUCTION High resolution images from micro-computed tomography (microCT) have been an important tool for quantifying trabecular morphology and the mechanical behavior of bone. The accuracy of these measures are heavily dependent on image resolution [1], which determines the Nyquist frequency (highest spatial frequency encoded in the image) and translates to element size when using voxel bas...

This paper introduces a new probabilistic framework for Space Carving [9]. In this framework each voxel is assigned a probability, which is computed by comparing the likelihoods for the voxel existing and not existing. This new framework avoids many of the difficulties associated with the original Space Carving algorithm. Specifically, it does not need a global threshold parameter, and it guara...

Although voxel models have been applied to address diverse problems in computer-aided design processes, their role multi-domain data integration digital architecture and planning has not extensively studied. The primary objective of this study is map the current state art identify open questions concerning structuring, integration, modeling multi-scale objects systems architecture. Focus placed...

In localizing a group difference or a covariate of a factor of interest on structure model in invivo human brains using magnetic resonance imaging (MRI), various approaches have been used. For approaches that analyze the local differences voxel-wisely, voxel-based morphometry (VBM), deformation-based morphometry (DBM) and tensor-based morphometry (TBM) have been proposed [1, 7, 2]. In these met...

In building the 3D voxel exemplars, we voxelize a 3D CADmodel into a distribution of 3D voxels. Since 3D CAD models from the web repositories, such as the Trimble 3D Warehouse [1], are usually irregular and not water-tight. We employ the volumetric depth map fusion technique, which is widely used in dense 3D reconstruction in the literature [7], to build the voxel representation of a 3D CAD mod...