43 citations · 53 across the 5 of their papers we have counts for
5 papers
KomaMRI.jl: An Open-Source Framework for General MRI Simulations with GPU Acceleration
Carlos Castillo-Passi, Ronal Coronado, Gabriel Varela-Mattatall +3
Purpose: To develop an open-source, high-performance, easy-to-use, extensible, cross-platform, and general MRI simulation framework (Koma). Methods: Koma was developed using the Ju…
Physics-informed self-supervised deep learning reconstruction for accelerated first-pass perfusion cardiac MRI
Elena Martín-González, Ebraham Alskaf, Amedeo Chiribiri +4
First-pass perfusion cardiac magnetic resonance (FPP-CMR) is becoming an essential non-invasive imaging method for detecting deficits of myocardial blood flow, allowing the assessm…
OpenCLIPER: an OpenCL-based C++ Framework for Overhead-Reduced Medical Image Processing and Reconstruction on Heterogeneous Devices
Federico Simmross-Wattenberg, Manuel Rodríguez-Cayetano, Javier Royuela-del-Val +4
Medical image processing is often limited by the computational cost of the involved algorithms. Whereas dedicated computing devices (GPUs in particular) exist and do provide signif…
Computation of Exact g-Factor Maps in 3D GRAPPA Reconstructions
Iñaki Rabanillo, Ante Zhu, Santiago Aja-Fernández +2
Purpose: To characterize the noise distributions in 3D-MRI accelerated acquisitions reconstructed with GRAPPA using an exact noise propagation analysis that operates directly in k-…
Exact Calculation of Noise Maps and g-Factor in GRAPPA using a k-space Analysis
Iñaki Rabanillo, Santiago Aja-Fernández, Carlos Alberola-López +1
Noise characterization in MRI has multiple applications, including quality assurance and protocol optimization. It is particularly important in the presence of parallel imaging acc…