Work

Sliding window and compressive sensing for low-field dynamic magnetic resonance imaging

Year: 2014

Type: preprint

Abstract: We describe an acquisition/processing procedure for image reconstruction in dynamic Magnetic Resonance Imaging (MRI). The approach requires sliding window to record a set of trajectories in the k-space, standard regularization to reconstruct an estimate of the object and compressed sensing to recover image residuals. We validated this approach in the case of specific simulated experiments and, in the case of real measurements, we showed that the procedure is reliable even in the case of data acquired by means of a low-field scanner.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.1402.2453

Authors: Toraci, Cristian, Zaccaria, Gabriele, Ceriani, Stefano, Wilson, David, Fato, Marco, Piana, Michele

Institutions: Superconducting and other Innovative Materials and Devices Institute, Ospedale Policlinico San Martino

Language: English

Topic: Advanced MRI Techniques and Applications

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

Open Access status: green

OpenAlex ID: W1568328034

Cites: 21

Cited by:

Related to: 10