The combination of ombitasvir (an NS5A inhibitor), paritaprevir (an NS3/4A inhibitor) coadministered with ritonavir (r), and dasabuvir (an NS5B nonnucleoside polymerase inhibitor), referred to as the 3D regimen, and the combination of ombitasvir-paritaprevir-r, referred to as the 2D regimen, have demonstrated high efficacy with and without ribavirin in hepatitis C virus (HCV)-infected subjects....

We present a novel walk-through pseudo-3D display, which enables 3D interaction and interesting possibilities for advanced user interface designs. Our work is based on the patented FogScreen, an “immaterial” indoor 2D projection screen which enables high-quality projected images in free space. We extend the basic 2D FogScreen setup with stereoscopic imagery and two-sidedness, in addition to the...

OBJECTIVES We sought to evaluate the feasibility and accuracy of free-breathing three-dimensional (3D) phase-sensitive inversion-recovery (PSIR) Turbo FLASH sequence for noninvasive assessment of left ventricular myocardial scar in swine models. MATERIALS AND METHODS Nine Chinese minipigs with experimentally induced acute myocardial infarction were studied. At 1 week and the study endpoint 4 ...

Introduction: The use of electronic portal imaging devices (EPIDs) is a method for the dosimetric verification of radiotherapy plans both pretreatment and in-vivo. The aim of this study was to test a 2D EPID-based dosimetry algorithm for dose verification of some plans inside a homogenous and anthropomorphic phantom and in-vivo, as well. Materials and Methods: </strong...

Background This is a pilot study to evaluate the performance of whole-heart isotropic RT-3D cine SSFP sequence as an efficient single solution for assessment of morphology and function in CHD by comparing it to: 1. Short axis (SA) 2D cine SSFP for LV volumetry and function 2. Multiplanar 2D cine SSFP for intracardiac morphology 3. Cine 2D SSFP and gadolinium (Gd)-enhanced 3D MRA for aortic root...

Convolutional Neural Network (CNN)-based machine learning systems have made breakthroughs in feature extraction and image recognition tasks in two dimensions (2D). Although there is significant ongoing work to apply CNN technology to domains involving complex 3D data, the success of such efforts has been constrained, in part, by limitations in data representation techniques. Most current approa...

Objective: The aim of this study was to compare the quality of images obtained with 3D T2-weighted sequence with the quality of conventional 2D T2-weighted images. Subjects and Methods: Thirty consecutively registered patients (average age, 55 year; age range 32-79 years) underwent imaging at 3.0 T with a 6-element body array coil. All imaging was performed with three T2-weighted images: 3D axi...

Hybrid face recognition, using image (2D) and structural (3D) information, has explored the fusion of Nearest Neighbour classifiers. This paper examines the effectiveness of feature modelling for each individual modality, 2D and 3D. Furthermore, it is demonstrated that the fusion of feature modelling techniques for the 2D and 3D modalities yields performance improvements over the individual cla...

There are several researches on 2D gaze tracking techniques to the 2D screen for the Human-Computer Interaction. However, the researches for the gaze-based interaction to the stereo images or 3D contents are not reported. The stereo display techniques are emerging now for the reality service. Moreover, the 3D interaction techniques are needed in the 3D contents service environments. This paper ...