this paper we have used functional MRI (fMRI) to identify the neural systems implicated in attending to visual motion

-called level sets "with regularizers". In this class, we present four kinds of systems on the design of the regularizers. Next, the paper presents a third kind of level sets, so-called the "bubble-based" techniques. An entire section is dedicated to optimization and quantification

The extraction of event-related oscillatory neuromagnetic activities from single-trial measurement is challenging due to the non-phase-locked nature and variability from trial to trial. The present study presents a method based on independent component analysis (ICA) and the use of a template-based

Searching for gravitational-wave signals emitted by eccentric compact binaries using non-eccentric template bank: implications for ground based-detectors

Searching for gravitational-wave signals emitted by eccentric compact binaries using non-eccentric template bank: implications for ground based-detectors

Building high-quality quadrilateral/hexahedral meshes directly from volumetric data is hard. Existing algorithms for generating meshes from volumetric data are based on primal and dual isocontouring algorithms, and current research focuses on improving the quality of such meshes. Most techniques

This paper describes an algorithm to extract adaptive and quality quadrilateral/hexahedral meshes directly from volumetric imaging data. First, a bottom-up surface topology preserving octree-based algorithm is applied to select a starting octree level. Then the dual contouring method is used

Abstract—The human cerebral cortex is topologically equivalent to a sheet and can be considered topologically spherical if it is closed at the brain stem. Low-level segmentation of magnetic resonance (MR) imagery typically produces cerebral volumes whose tessellations are not topologically spherical. We present a novel algorithm that analyzes and constrains the topology of a volumetric object. Graphs are formed that represent the connectivity of voxel segments in the foreground and background of the image. These graphs are analyzed and minimal corrections to the volume are made prior to tessellation. We apply the algorithm to a simple test object and to cerebral white matter masks generated by a low-level tissue identification sequence. We tessellate the resulting objects using the marching cubes algorithm and verify their topology by computing their Euler characteristics. A key benefit of the algorithm is that it localizes the change to a volume to the specific areas of its topological defects. Index Terms—Magnetic resonance imaging, topological correction, topology, segmentation. I.

Abstract: This paper describes an approach to construct unstructured tetrahedral and hexa-hedral meshes for a domain with multiple materials. We have developed an octree-based iso-contouring method to construct unstructured 3D meshes for a single material domain. Based on it, we analyze each

Abstract not found