Title | ||
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PCA-based magnetic field modeling: application for on-line MR temperature monitoring. |
Abstract | ||
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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. |
Year | DOI | Venue |
---|---|---|
2007 | 10.1007/978-3-540-75759-7_50 | MICCAI (2) |
Keywords | Field | DocType |
minimally invasive thermal therapy,magnetic field perturbation model,linear magnetic field variation,inhomogeneous magnetic field,pca-based magnetic field modeling,correction method,organ motion,on-line mr temperature monitoring,magnetic field perturbation,novel correction strategy,organ displacement,actual organ position,magnetic resonance,principal component analysis,magnetic field | Computer vision,Magnetic field,Thermal,Mathematical analysis,Organ Motion,Computer science,Temperature mapping,Artificial intelligence,Principal component analysis,Perturbation (astronomy),Computation,Magnetic resonance imaging | Conference |
Volume | Issue | ISSN |
10 | Pt 2 | 0302-9743 |
ISBN | Citations | PageRank |
3-540-75758-9 | 1 | 0.46 |
References | Authors | |
1 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
G Maclair | 1 | 11 | 3.00 |
Baudouin Denis de Senneville | 2 | 22 | 8.12 |
Mario Ries | 3 | 55 | 11.04 |
B Quesson | 4 | 1 | 0.46 |
P Desbarats | 5 | 7 | 2.34 |
J. Benois-Pineau | 6 | 103 | 12.35 |
C T W Moonen | 7 | 1 | 0.46 |