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

G. Maclair; B. Denis De Senneville; M. Ries; B. Quesson; P. Desbarats; J. Benois-Pineau; C. T.W. Moonen

doi:10.1007/978-3-540-75759-7_50

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

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Citations (Scopus)

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.

Original language	English
Title of host publication	Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007 - 10th International Conference, Proceedings
Publisher	Springer Verlag
Pages	411-419
Number of pages	9
Edition	PART 2
ISBN (Print)	9783540757580
DOIs	https://doi.org/10.1007/978-3-540-75759-7_50
Publication status	Published - 2007
Externally published	Yes
Event	10th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2007 - Brisbane, Australia Duration: 29 Oct 2007 → 2 Nov 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	4792 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	10th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2007
Country/Territory	Australia
City	Brisbane
Period	29/10/07 → 2/11/07

Access to Document

10.1007/978-3-540-75759-7_50

Cite this

Maclair, G., De Senneville, B. D., Ries, M., Quesson, B., Desbarats, P., Benois-Pineau, J., & Moonen, C. T. W. (2007). PCA-based magnetic field modeling: Application for on-line MR temperature monitoring. In Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007 - 10th International Conference, Proceedings (PART 2 ed., pp. 411-419). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4792 LNCS, No. PART 2). Springer Verlag. https://doi.org/10.1007/978-3-540-75759-7_50

Maclair, G. ; De Senneville, B. Denis ; Ries, M. et al. / PCA-based magnetic field modeling : Application for on-line MR temperature monitoring. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007 - 10th International Conference, Proceedings. PART 2. ed. Springer Verlag, 2007. pp. 411-419 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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title = "PCA-based magnetic field modeling: Application for on-line MR temperature monitoring",

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.",

author = "G. Maclair and \{De Senneville\}, \{B. Denis\} and M. Ries and B. Quesson and P. Desbarats and J. Benois-Pineau and Moonen, \{C. T.W.\}",

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Maclair, G, De Senneville, BD, Ries, M, Quesson, B, Desbarats, P, Benois-Pineau, J & Moonen, CTW 2007, PCA-based magnetic field modeling: Application for on-line MR temperature monitoring. in Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007 - 10th International Conference, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 4792 LNCS, Springer Verlag, pp. 411-419, 10th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2007, Brisbane, Australia, 29/10/07. https://doi.org/10.1007/978-3-540-75759-7_50

PCA-based magnetic field modeling: Application for on-line MR temperature monitoring. / Maclair, G.; De Senneville, B. Denis; Ries, M. et al.
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007 - 10th International Conference, Proceedings. PART 2. ed. Springer Verlag, 2007. p. 411-419 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4792 LNCS, No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Maclair, G.

AU - De Senneville, B. Denis

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AU - Desbarats, P.

AU - Benois-Pineau, J.

AU - Moonen, C. T.W.

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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.

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Maclair G, De Senneville BD, Ries M, Quesson B, Desbarats P, Benois-Pineau J et al. PCA-based magnetic field modeling: Application for on-line MR temperature monitoring. In Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007 - 10th International Conference, Proceedings. PART 2 ed. Springer Verlag. 2007. p. 411-419. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-540-75759-7_50

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

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