PCA-based magnetic field modeling: application for on-line MR temperature monitoring

G. Maclair (1, 2) , Baudouin Denis de Senneville (2) , Mario Ries (2) , Bruno Quesson (2) , Pascal Desbarats (1) , Jenny Benois-Pineau (1) , Chrit Moonen (2)

1 LaBRI - Laboratoire Bordelais de Recherche en Informatique
2 Imagerie moléculaire et fonctionnelle: de la physiologie à la thérapie

Magnetic Resonance (MR) temperature mapping can be used to monitor temperature changes during minimally invasive thermal therapies. However, MR-thermometry contains artefacts caused by phase errors induced by organ motion in inhomogeneous magnetic fields. This paper proposes a novel correction strategy based on a Principal Component Analysis (PCA) to estimate magnetic field perturbation assuming a linear magnetic field variation with organ displacement. The correction method described in this paper consists of two steps: a magnetic field perturbation model is computed in a learning step; subsequently, during the intervention, this model is used to reconstruct the magnetic field perturbation corresponding to the actual organ position which in turns allow computation of motion corrected thermal maps.

Domaines: Traitement des images [eess.IV]

G. Maclair, Baudouin Denis de Senneville, Mario Ries, Bruno Quesson, Pascal Desbarats, et al.. PCA-based magnetic field modeling: application for on-line MR temperature monitoring. Medical Image Computing and Computer-Assisted Intervention, 2007, Brisbane, Australia. pp.411-129. ⟨hal-00353085⟩