Sampada Bhave

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Advancements in Sugar include 1) parameterizable netlists, 2) nonlinear frequency response analysis, 3) subnets, 4) improved MNA, 5) reduced order modeling, and 6) a more accurate nonlinear beam model. Examples of these features include the simulation of a two-axis mirror with over 10,000 degrees of freedom, the reduced order modeling applied of an(More)
Recent work on blind compressed sensing (BCS) has shown that exploiting sparsity in dictionaries that are learnt directly from the data at hand can outperform compressed sensing (CS) that uses fixed dictionaries. A challenge with BCS however is the large computational complexity during its optimization, which limits its practical use in several MRI(More)
Fig.2 CEST acceleration: (a) shows the recovered CEST images at the z shift corresponding to maximum CEST contrast. (b) indicates the average of the z spectra at two regions of interest, one within the yolk (top) and the other within the white regions (bottom). Note that the degradation in the performance is graceful with acceleration. 6711 ACCELERATED CEST(More)
PURPOSE The need for diffusion-weighted-imaging (DWI) near metallic implants is becoming increasingly relevant for a variety of clinical diagnostic applications. Conventional DWI methods are significantly hindered by metal-induced image artifacts. A novel approach relying on multispectral susceptibility artifact reduction techniques is presented to address(More)
Objectives: The objective of this study is to increase the spatial and temporal resolution of dynamic 3D MR imaging of lung volumes and diaphragm motion. To achieve this goal, we evaluate the utility of the proposed blind compressed sensing (BCS) algorithm to recover data from highly undersampled measurements. Materials and Methods: We evaluated the(More)
Targeted Audience: Clinicians and researchers interested in 3D dynamic lung MRI as a useful tool to assess global as well as regional lung function Purpose: Since MR uses non-iodizing radiation, 3D dynamic MR imaging of respiratory mechanics is a promising alternative to CT. Abnormal function of the diaphragm and chest wall resulting from obesity and(More)
Three-dimensional dynamic MRI (3D-DMRI) is a promising method to analyze respiratory mechanics. However, current 3D DMRI implementations o er limited temporal, spatial resolution and volume coverage. In this work we demonstrate the feasibility of three compressed sensing reconstruction methods along with view-sharing method with clinical evaluation on 8(More)
Targeted Audience: Researchers and Clinicians interested in using quantitative relaxation measures to the study the effect of physiological and metabolic changes including those associated with neurological and psychiatric disorders on tissue parameters. Purpose: Quantification of multiple tissue parameters is emerging as a powerful tool in diagnosing(More)
OBJECTIVES The objective of this study was to increase the spatial and temporal resolution of dynamic 3-dimensional (3D) magnetic resonance imaging (MRI) of lung volumes and diaphragm motion. To achieve this goal, we evaluate the utility of the proposed blind compressed sensing (BCS) algorithm to recover data from highly undersampled measurements. (More)