TY - GEN
T1 - PCA-based magnetic field modeling
T2 - 10th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2007
AU - Maclair, G.
AU - De Senneville, B. Denis
AU - Ries, M.
AU - Quesson, B.
AU - Desbarats, P.
AU - Benois-Pineau, J.
AU - Moonen, C. T.W.
PY - 2007
Y1 - 2007
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=79551685727&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-75759-7_50
DO - 10.1007/978-3-540-75759-7_50
M3 - Conference contribution
C2 - 18044595
AN - SCOPUS:79551685727
SN - 9783540757580
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 411
EP - 419
BT - Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007 - 10th International Conference, Proceedings
PB - Springer Verlag
Y2 - 29 October 2007 through 2 November 2007
ER -