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.
IMF, UMR 5231 CNRS/Université Bordeaux 2 - 146, rue Léo Saignat, F-33076 Bordeaux.
G
G
Maclair
B
B
Denis de Senneville
M
M
Ries
B
B
Quesson
P
P
Desbarats
J
J
Benois-Pineau
C T W
CT
Moonen
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*