Denoising of highly accelerated real-time cardiac MR images using extended non-local means

Jean-Noël Hyacinthe Benoît Naegel 1 Maurizio Tognolini Vallée Jean-Paul
1 QGAR - Querying Graphics through Analysis and Recognition
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : Real-time cardiac MRI is of clinical importance in some patients (e.g. with arrythmias or in pediatrics). However, standard real-time MRI suffers from compromised spatiotemporal resolution. A new method for real-time denoising is presented to overcome signal-to-noise ratio (SNR) limitations of highly accelerated TSENSE acquisitions. This method is based on a multi-resolution rigid registration and an extended non-local means filter that uses redundancy between successive frames. The performances of this method, studied in 5 volunteers and 5 patients, and its computational efficiency allow in-line processing of highly accelerated real-time cardiac images, and should be compatible with clinical applications including stress studies.
Type de document :
Communication dans un congrès
International Society for Magnetic Resonance in Medicine - ISMRM 17th Scientific Meeting & Exhibition, Apr 2009, Honolulu, United States. 2009
Liste complète des métadonnées

https://hal.inria.fr/inria-00412970
Contributeur : Benoît Naegel <>
Soumis le : mercredi 2 septembre 2009 - 17:42:57
Dernière modification le : jeudi 11 janvier 2018 - 06:19:59

Identifiants

  • HAL Id : inria-00412970, version 1

Collections

Citation

Jean-Noël Hyacinthe, Benoît Naegel, Maurizio Tognolini, Vallée Jean-Paul. Denoising of highly accelerated real-time cardiac MR images using extended non-local means. International Society for Magnetic Resonance in Medicine - ISMRM 17th Scientific Meeting & Exhibition, Apr 2009, Honolulu, United States. 2009. 〈inria-00412970〉

Partager

Métriques

Consultations de la notice

128