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

作者信息

Maclair G, Denis de Senneville B, Ries M, Quesson B, Desbarats P, Benois-Pineau J, Moonen C T W

机构信息

IMF, UMR 5231 CNRS/Université Bordeaux 2 - 146, rue Léo Saignat, F-33076 Bordeaux.

出版信息

Med Image Comput Comput Assist Interv. 2007;10(Pt 2):411-9. doi: 10.1007/978-3-540-75759-7_50.

DOI:10.1007/978-3-540-75759-7_50
PMID:18044595
Abstract

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.

摘要

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