CS-MRI: The application of compressed sensing for magnetic resonance imaging
Subject Areas : journal of Artificial Intelligence in Electrical Engineering
1 - Department of Electrical Engineering, Heris Branch, Islamic Azad University, Heris, Iranbig4
Keywords: Compressed sensing, Image recovery, Magnetic resonance imaging, Reconstruction algorithm,
Abstract :
Magnetic resonance imaging (MRI) is a non-aggressive medical imaging modality that use magnetic resonance property of hydrojen atom core in body and can show a wide range of tissues with high resolution. The main disadvantage of MRI which limits its application, is the slow data acquisition speed. The use of compressed sensing (CS) in MRI, known as CS-MRI, reduces data acquisition time in MRI by reducing the required samples. One important challenge in CS-MRI, is to develop a sparsity inducing model which can reflect the image priors appropriately and hence yields high quality recovery results. In this study, principles of MRI, application of CS in MRI, and CS-MRI reconstruction techniques are discussed in brief.
