Now showing items 11-16 of 16
Parallel MR Image Reconstruction Using Augmented Lagrangian Methods
(IEEE, 2010-11-18)
Magnetic resonance image (MRI) reconstruction using SENSitivity Encoding (SENSE) requires regularization to suppress noise and aliasing effects. Edge-preserving and sparsity-based regularization criteria can improve image ...
Cramér Rao Bound Analysis of Joint B1/T1 Mapping Methods in MRI
(IEEE, 2010-04-14)
In MRI, RF field inhomogeneity (B1) and relaxation effects (T1) significantly affect both B1 and T1 mapping. Simultaneous joint estimation of both B1 and T1 has the potential to greatly improve both B1 and T1 estimation. ...
Intracellular Delivery and Calcium Transients Generated in Sonoporation Facilitated by Microbubbles
(Elsevier, 2010-02-25)
Ultrasound application in the presence of microbubbles is a promising strategy for intracellular delivery drug and gene, but it may also trigger other cellular responses. This study investigates the relationship between ...
Benefits of Position-Sensitive Detectors for Radioactive Source Detection
(IEEE, 2010-06-06)
There are many systems for counting photons such as gamma-rays emitted from radioactive sources. Many of these systems are also position-sensitive, which means that the system provides directional information about recorded ...
3D Forward and Back-Projection for X-Ray CT Using Separable Footprints
(IEEE, 2010-06-06)
Iterative methods for 3D image reconstruction have the potential to improve image quality over conventional filtered back projection (FBP) in X-ray computed tomography (CT). However, the computation burden of 3D cone-beam ...
An Accelerated Iterative Reweighted Least Squares Algorithm for Compressed Sensing MRI
(IEEE, 2010-04-14)
Compressed sensing for MRI (CS-MRI) attempts to recover an object from undersampled k-space data by minimizing sparsity-promoting regularization criteria. The iterative reweighted least squares (IRLS) algorithm can perform ...