A novel application of 1-norm minimization in the MRI field is presented. The novel methodology, called Intra Voxel Analysis (IVA), by combining different acquisitions with standard resolution, is able to investigate the presence of different contributions, i.e., of different tissues, inside each imaged voxel. The approach is somehow similar to spectroscopy, but instead of searching different resonance frequencies, it discriminates within each voxel the tissues characterized by different spin-spin relaxation times. The proposed methodology is able to work on MR images acquired at full resolution by using any acquisition scheme. A phantom has been built and images for testing the approach.
MRI multicomponent relaxometry based on compressive sensing
Ambrosanio, Michele;Baselice, Fabio;Ferraioli, Giampaolo;Pascazio, Vito
2017-01-01
Abstract
A novel application of 1-norm minimization in the MRI field is presented. The novel methodology, called Intra Voxel Analysis (IVA), by combining different acquisitions with standard resolution, is able to investigate the presence of different contributions, i.e., of different tissues, inside each imaged voxel. The approach is somehow similar to spectroscopy, but instead of searching different resonance frequencies, it discriminates within each voxel the tissues characterized by different spin-spin relaxation times. The proposed methodology is able to work on MR images acquired at full resolution by using any acquisition scheme. A phantom has been built and images for testing the approach.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
