HYR2PICS: Hybrid Regularized Reconstruction for combined Parallel Imaging and Compressive Sensing in MRI - CEA - Commissariat à l’énergie atomique et aux énergies alternatives Accéder directement au contenu
Communication Dans Un Congrès Année : 2012

HYR2PICS: Hybrid Regularized Reconstruction for combined Parallel Imaging and Compressive Sensing in MRI

Philippe Ciuciu

Résumé

Both parallel Magnetic Resonance Imaging~(pMRI) and Compressed Sensing (CS) are emerging techniques to accelerate conventional MRI by reducing the number of acquired data in the $k$-space. So far, first attempts to combine sensitivity encoding (SENSE) imaging in pMRI with CS have been proposed in the context of Cartesian trajectories. Here, we extend these approaches to non-Cartesian trajectories by jointly formulating the CS and SENSE recovery in a hybrid Fourier/wavelet framework and optimizing a convex but nonsmooth criterion. On anatomical MRI data, we show that HYR$^2$PICS outperforms wavelet-based regularized SENSE reconstruction. Our results are also in agreement with the Transform Point Spread Function (TPSF) criterion that measures the degree of incoherence of $k$-space undersampling schemes.
Fichier principal
Vignette du fichier
isbi_cb_pw_sm_10_revised.pdf (634.44 Ko) Télécharger le fichier
posterISBI2012v2.pdf (619.05 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Format : Autre
Loading...

Dates et versions

cea-00691623 , version 1 (26-04-2012)

Identifiants

  • HAL Id : cea-00691623 , version 1

Citer

Claire Boyer, Philippe Ciuciu, Pierre Weiss, Sébastien Meriaux. HYR2PICS: Hybrid Regularized Reconstruction for combined Parallel Imaging and Compressive Sensing in MRI. IEEE International Symposium on Biomedical Imaging, May 2012, Barcelone, Spain. ⟨cea-00691623⟩
218 Consultations
276 Téléchargements

Partager

Gmail Facebook X LinkedIn More