PCA-based magnetic field modeling: application for on-line MR temperature monitoring.
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.
Maclair
G
G
IMF, UMR 5231 CNRS/Université Bordeaux 2 - 146, rue Léo Saignat, F-33076 Bordeaux.
Denis de Senneville
B
B
Ries
M
M
Quesson
B
B
Desbarats
P
P
Benois-Pineau
J
J
Moonen
C T W
CT
D000005:Abdomen / Q000502:physiology*; D000465:Algorithms; D001831:Body Temperature / Q000502:physiology*; D003627:Data Interpretation, Statistical; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D025341:Principal Component Analysis; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013817:Thermography / Q000379:methods*