Gaussian smoothing of images is an important step in Voxel-based Analysis and Statistical Parametric Mapping (VBA-SPM); it accounts for registration errors and integrates imaging signals from a region around each voxel being analyzed. However, it has also become a limitation of VBA-SPM based methods, since it is often chosen empirically, non-optimally, and lacks spatial adaptivity to the shape ...

The basics of a parallel real-time volume visualization architecture are introduced. Volume data is divided into subcubes that are dis­ tributed among multiple image processors and stored in their pri­ vate voxel memories. Rays fall into ray segments at the subcube borders. Each image processor is responsible for the ray segments within its assigned subcubes. Results of the ray segments are pas...

In this paper we describe a voxel-based 3-D reconstruction technique from multiple calibrated camera views that makes explicit use of the finite size footprint of a voxel when projected into the image plane. We derive a class of computationally efficient axis-aligned volume traversal orders that ensure that a processed voxel cannot occlude previously processed voxels. For each view, one out of ...

This paper presents a novel voxel-based method for texture analysis of brain images. Texture analysis is a powerful quantitative approach for analyzing voxel intensities and their interrelationships, but has been thus far limited to analyzing regions of interest. The proposed method provides a 3D statistical map comparing texture features on a voxel-by-voxel basis. The validity of the method wa...

The purpose of this study was to analyze four different cone-beam computed tomography (CBCT) protocols to identify horizontal root fractures (HRF) in endodontically treated teeth, with or without the presence of a metallic post. Thirty extracted single-rooted human premolars were treated endodontically. Afterwards, an observer induced a horizontal fracture in 15 teeth. Each tooth was inserted i...

Large imbalance often exists between the foreground points (i.e., objects) and background in outdoor LiDAR point clouds. It hinders cutting-edge detectors from focusing on informative areas to produce accurate 3D object detection results. This paper proposes a novel network by semantical point-voxel feature interaction, dubbed PV-RCNN++. Unlike most of existing methods, PV-RCNN++ explores seman...