28 citations · 49 across the 8 of their papers we have counts for
8 papers
Optimizing Variable Flip-Angles in Magnetization-Prepared Gradient Echo Sequences for Efficient 3D-T1rho Mapping
Marcelo V W Zibetti, Hector L. De Moura, Mahesh B. Keerthivasan +1
Purpose: To optimize the choice of the flip-angles of magnetization-prepared gradient echo (MP-GRE) sequences for improved accuracy, precision, and speed of 3D-T1rho mapping. Metho…
Alternating Learning Approach for Variational Networks and Undersampling Pattern in Parallel MRI Applications
Marcelo V. W. Zibetti, Florian Knoll, Ravinder R. Regatte
Purpose: To propose an alternating learning approach to learn the sampling pattern (SP) and the parameters of variational networks (VN) in accelerated parallel magnetic resonance i…
Fast Data-Driven Learning of MRI Sampling Pattern for Large Scale Problems
Marcelo V. W. Zibetti, Gabor T. Herman, Ravinder R. Regatte
Purpose: A fast data-driven optimization approach, named bias-accelerated subset selection (BASS), is proposed for learning efficacious sampling patterns (SPs) with the purpose of…
Fast Proximal Gradient Methods for Nonsmooth Convex Optimization for Tomographic Image Reconstruction
Elias S. Helou, Marcelo V. W. Zibetti, Gabor T. Herman
The Fast Proximal Gradient Method (FPGM) and the Monotone FPGM (MFPGM) for minimization of nonsmooth convex functions are introduced and applied to tomographic image reconstruction…
The Discrete Fourier Transform for Golden Angle Linogram Sampling
Elias S. Helou, Marcelo V. W. Zibetti, Leon Axel +3
Estimation of the Discrete-Time Fourier Transform (DTFT) at points of a finite domain arises in many imaging applications. A new approach to this task, the Golden Angle Linogram Fo…
Superiorization of Preconditioned Conjugate Gradient Algorithms for Tomographic Image Reconstruction
Elias S. Helou, Gabor T. Herman, Chuan Lin +1
Properties of Superiorized Preconditioned Conjugate Gradient (SupPCG) algorithms in image reconstruction from projections are examined. Least squares (LS) is usually chosen for mea…
Total Variation Superiorized Conjugate Gradient Method for Image Reconstruction
Marcelo V. W. Zibetti, Chuan Lin, Gabor T. Herman
The conjugate gradient (CG) method is commonly used for the rapid solution of least squares problems. In image reconstruction, the problem can be ill-posed and also contaminated by…
Superiorization of Incremental Optimization Algorithms for Statistical Tomographic Image Reconstruction
Elias S. Helou, Marcelo V. W. Zibetti, Eduardo X. Miqueles
We propose the superiorization of incremental algorithms for tomographic image reconstruction. The resulting methods follow a better path in its way to finding the optimal solution…