Authors:Giuseppe Placidi¹;Luigi Cinque²;Andrea Petracca¹;Matteo Polsinelli¹ andMatteo Spezialetti¹

Affiliations:¹University of L'Aquila, Italy;²Sapienza University, Italy

Keyword(s):Adaptive Acquisition Method, Sparse Sampling, Compressed Sensing, Undersampling, Sparsity, Reconstruction, Radial Directions, Projections, Non-linear Reconstruction.

RelatedOntology Subjects/Areas/Topics:Applications ;Cardiovascular Imaging and Cardiography ;Cardiovascular Technologies ;Computer Vision, Visualization and Computer Graphics ;Health Engineering and Technology Applications ;Image Understanding ;Medical Imaging ;Pattern Recognition ;Signal Processing ;Software Engineering

Abstract:Magnetic Resonance Imaging (MRI) represents a major imaging modality for its low invasiveness and for itsproperty to be used in real-time and functional applications. The acquisition of radial directions is often usedbut a complete examination always requires long acquisition times. The only way to reduce acquisition time isundersampling. We present an iterative adaptive acquisition method (AAM) for radial sampling/reconstructionMRI that uses the information collected during the sequential acquisition process on the inherent structure ofthe underlying image for calculating the following most informative directions. A full description of AAM isfurnished and some experimental results are reported; a comparison between AAM and weighted compressedsensing (CS) strategy is performed on numerical data. The results demonstrate that AAM converges fasterthan CS and that it has a good termination criterion for the acquisition process.