We discuss the analysis of polarization experiments with particular emphasis on those that measure the Stokes parameters on a ring on the sky. We discuss the ability of these experiments to separate the E and B contributions to the polarization signal. The experiment being developed at Wisconsin university is studied in detail, it will be sensitive to both Stokes parameters and will concentrate...

We report the design and implementation of a high-speed, automated laser radar (LADAR) system with sensitivity enhanced by polarimetric imaging technique. This LADAR is able to analyze the Stokes vector of the reflected light from a target at video-rate. With a polarization state generator and a polarization state analyzer, the system is capable of performing a complete Mueller matrix imaging o...

A number of methods using temporal and spatial constraints have been proposed for reconstruction of undersampled dynamic magnetic resonance imaging (MRI) data. The complex data can be constrained or regularized in a number of different ways, for example, the time derivative of the magnitude and phase image voxels can be constrained separately or jointly. Intuitively, the performance of differen...

The performance of an iris recognition system can be undermined by poor quality images and result in high false reject rates (FRR) and failure to enrol (FTE) rates. In this article, a signal to noise ratio (SNR), Grey scale Density, Contrast between sclera and Iris, contrast between iris and pupil quality measure for iris images is proposed. The merit of this approach lies in its ability to dif...

Introduction: The limited spatial resolution of the gamma camera hinders the absolute quantification of planar images of small structures. The imaged structures are affected by partial volume effects (PVEs), which can spread activity and lead to underestimation of the regional distribution.  The use of optimum planar parameters reduces the impact of the limited spatial resolution of the gamma c...

Background: Magnetic resonance imaging (MRI) is a non-invasive imaging technology that shows detailed anatomical and pathological images. It is often used for disease detection, diagnosis, and treatment monitoring, in particular with neurodegenerative diseases, such as Multiple sclerosis (MS), Alzheimer's and amyotrophic lateral sclerosis. However, conventional MRI provides only qualitative inf...