Accelerating Non-Cartesian MRI Reconstruction Convergence Using k-Space Preconditioning


If you want to speed up the convergence of iterative MRI reconstructions from non-uniformly sampled data, you can use this preconditioning concept. Either sampling density compensations or circulant preconditioners are now used to boost per-iteration computing speed. Both of these flaws are addressed by our method. This is demonstrated by employing density-compensation-like techniques to precondition in k-space when we approach the reconstruction problem in the dual formulation With the hybrid gradient approach, the proposed preconditioning method has no inner loops and is competitive with known algorithms for faster convergence. Using experiments, we show that the suggested technique converges in roughly 10 iterations when applied to real-world problems.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : Momentum Acceleration in the Individual Convergence of Nonsmooth Convex Optimization With Constraints ABSTRACT: The momentum technique has only relatively recently emerged as a useful strategy for accelerating
PROJECT TITLE :An SfM Algorithm With Good Convergence That Addresses Outliers for Realizing Mono-SLAMABSTRACT:Monocular simultaneous localization and mapping (mono-SLAM) may be a key element of autonomous robot visual navigation.
PROJECT TITLE :Average Convergence Rate of Evolutionary AlgorithmsABSTRACT:In evolutionary optimization, it is necessary to understand how briskly evolutionary algorithms converge to the optimum per generation, or their convergence
PROJECT TITLE :Iterative Learning Control With Predictive Trial Information: Convergence, Robustness, and Experimental VerificationABSTRACT:Iterative learning management (ILC) is a management style method for prime-performance
PROJECT TITLE :Disturbance-Observer-Based PD Control of Flexible Joint Robots for Asymptotic ConvergenceABSTRACT:This paper proposes a robust PD control theme for flexible-joint robots based mostly on a disturbance observer (DOB).

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry