Target Audience: Clinicians and researchers working with dynamic Contrast Enhanced MRA (CE-MRA). Purpose: Dynamic Magnetic Resonance Angiography (MRA) has become a widely accepted tool for clinical evaluation of complex vascular hemodynamics. To allow for high spatial and temporal resolution, view-sharing techniques 1,2 are commonly used whereby the k-space center is updated more frequently tha...

Background 3D T1-weighted contrast-enhanced MRA (CE-MRA) is routinely used for non-invasive evaluation of the thoracic aorta. However, competing demands of high spatial resolution and fast (breath-hold) acquisition often preclude ECG-gating, leading to motion artifact at the aortic root. Standard Cartesian-sampled ECG-gated CE-MRA acquires 1 partition per heartbeat resulting in long scan times,...

Palmprint is a relatively new physiological biometric used in identification systems due to its stable and unique characteristics. The vivid texture information of palmprint present at different resolutions offers abundant prospects in personal recognition. This paper describes a new method to authenticate individuals based on palmprint identification. In order to analyze the texture informatio...

Pansharpening technique is used to merge the original multispectral image (MS) with a high spatial resolution panchromatic (PAN). Due its robustness, multiresolution analysis (MRA) an important part of pansharpening. The scale regression model effective for improving MRA. However, existing MRA based on results into single-scale information, thus affecting final pansharpening result. To address ...

background: the goal of this study was to determine the reliability of tcd in evaluation of vertebrobasilar arteries in comparison with brain mra in patients suffering from acute vertebrobasilar stroke. methods: samples were patients with definite clinical diagnosis of vertebrobasilar stroke. for all patients brain mri, mra and tcd were performed during the first 48 hours of admission. basilar ...

In this paper, Automation of a power system fault detection using multi resolution analysis (MRA) wavelet transform is proposed and the various coefficients obtained from wavelet transform are given as an input to the probabilistic neural network (PNN). This PNN will classify and find the nature of fault occurring. Later, the decisions obtained from the output of PNN can be used to tune the pow...

Purpose of the study was to evaluate contrast-enhanced MR angiography (CE MRA) of the supraaortic arteries at 3.0T using the quadrature body coil as transmitter and receiver. CE MRA was performed with randomly segmented central k-space ordering (CENTRA) in 43 patients and 5 volunteers using a large FOV (350 mm) and a high image matrix of 432 x 432 (nonzerofilled voxel: 0.66 mm3).Our experience ...

Neural fields are spatially continuous state variables described by integro-differential equations, which are well suited to describe the spatiotemporal evolution of cortical activations on multiple scales. Here we develop a multi-resolution approximation (MRA) framework for the integro-difference equation (IDE) neural field model based on semi-orthogonal cardinal B-spline wavelets. In this way...

BACKGROUND A subarachnoid hemorrhage (SAH) due to the rupture of a cerebral aneurysm (CA) is a devastating event associated with high rates of mortality. Magnetic resonance angiography (MRA), as a noninvasive technique, is typically used initially. The object of our study is to evaluate the feasibility of 4D time-resolved MRA with keyhole (4D-TRAK) for the diagnostic accuracy and reliability of...

In this work we apply non-negative matrix factorizations (NMF) to some imaging and inverse problems. We propose a sparse low-rank approximation of big data and images in terms of tensor products, and investigate its effectiveness in terms of the number of tensor products to be used in the approximation. A multi-resolution analysis (MRA) framework is presented using a sparse low-rank approximati...