POD-based recursive temperature estimation for MR-guided RF hyperthermia cancer treatment: a pilot study

R.W.M. Hendrikx, S. Curto, Bram de Jager, E. Maljaars, G.C. van Rhoon, M.M. Paulides, W.P.M.H. Heemels

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Uittreksel

In this paper, proper-orthogonal-decomposition (POD) reduced models of the body's heat response to radio-frequency hyperthermia cancer treatment are used for recursive temperature estimation. First, efficient low-dimensional models are obtained by projecting high-resolution finite-difference discretized models on low-dimensional subspaces spanned by empirical simulation modes. These models are then used in a Kalman filter to obtain recursive 3D temperature estimates from noise-susceptible magnetic resonance thermometry (MRT). The strategy is tested on an experimental setup containing an anthropomorphic phantom. It is found that recursive estimation reduces the mean absolute temperature error for the phantom experiment by 38% when compared to MRT and may be a valuable addition to MRT, most notably in the case where high quality thermometry is temporally interleaved with thermometry of degraded quality.

TaalEngels
Titel2018 IEEE Conference on Decision and Control, CDC 2018
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's5201-5208
Aantal pagina's8
ISBN van elektronische versie9781538613955
DOI's
StatusGepubliceerd - 18 jan 2019
Evenement57th IEEE Conference on Decision and Control, CDC 2018 - Miami, Verenigde Staten van Amerika
Duur: 17 dec 201819 dec 2018
Congresnummer: 57

Congres

Congres57th IEEE Conference on Decision and Control, CDC 2018
Verkorte titelCDC 2018
LandVerenigde Staten van Amerika
StadMiami
Periode17/12/1819/12/18

Vingerafdruk

Hyperthermia
Oncology
Magnetic Resonance
Orthogonal Decomposition
Cancer
Magnetic resonance
Phantom
Decomposition
Recursive Estimation
Reduced Model
Kalman Filter
Temperature
Finite Difference
High Resolution
Heat
Subspace
Kalman filters
Model
Estimate
Experiment

Citeer dit

Hendrikx, R. W. M., Curto, S., de Jager, B., Maljaars, E., van Rhoon, G. C., Paulides, M. M., & Heemels, W. P. M. H. (2019). POD-based recursive temperature estimation for MR-guided RF hyperthermia cancer treatment: a pilot study. In 2018 IEEE Conference on Decision and Control, CDC 2018 (blz. 5201-5208). [8619745] Piscataway: Institute of Electrical and Electronics Engineers. DOI: 10.1109/CDC.2018.8619745
Hendrikx, R.W.M. ; Curto, S. ; de Jager, Bram ; Maljaars, E. ; van Rhoon, G.C. ; Paulides, M.M. ; Heemels, W.P.M.H./ POD-based recursive temperature estimation for MR-guided RF hyperthermia cancer treatment : a pilot study. 2018 IEEE Conference on Decision and Control, CDC 2018. Piscataway : Institute of Electrical and Electronics Engineers, 2019. blz. 5201-5208
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abstract = "In this paper, proper-orthogonal-decomposition (POD) reduced models of the body's heat response to radio-frequency hyperthermia cancer treatment are used for recursive temperature estimation. First, efficient low-dimensional models are obtained by projecting high-resolution finite-difference discretized models on low-dimensional subspaces spanned by empirical simulation modes. These models are then used in a Kalman filter to obtain recursive 3D temperature estimates from noise-susceptible magnetic resonance thermometry (MRT). The strategy is tested on an experimental setup containing an anthropomorphic phantom. It is found that recursive estimation reduces the mean absolute temperature error for the phantom experiment by 38{\%} when compared to MRT and may be a valuable addition to MRT, most notably in the case where high quality thermometry is temporally interleaved with thermometry of degraded quality.",
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Hendrikx, RWM, Curto, S, de Jager, B, Maljaars, E, van Rhoon, GC, Paulides, MM & Heemels, WPMH 2019, POD-based recursive temperature estimation for MR-guided RF hyperthermia cancer treatment: a pilot study. in 2018 IEEE Conference on Decision and Control, CDC 2018., 8619745, Institute of Electrical and Electronics Engineers, Piscataway, blz. 5201-5208, Miami, Verenigde Staten van Amerika, 17/12/18. DOI: 10.1109/CDC.2018.8619745

POD-based recursive temperature estimation for MR-guided RF hyperthermia cancer treatment : a pilot study. / Hendrikx, R.W.M.; Curto, S.; de Jager, Bram; Maljaars, E.; van Rhoon, G.C.; Paulides, M.M.; Heemels, W.P.M.H.

2018 IEEE Conference on Decision and Control, CDC 2018. Piscataway : Institute of Electrical and Electronics Engineers, 2019. blz. 5201-5208 8619745.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

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AB - In this paper, proper-orthogonal-decomposition (POD) reduced models of the body's heat response to radio-frequency hyperthermia cancer treatment are used for recursive temperature estimation. First, efficient low-dimensional models are obtained by projecting high-resolution finite-difference discretized models on low-dimensional subspaces spanned by empirical simulation modes. These models are then used in a Kalman filter to obtain recursive 3D temperature estimates from noise-susceptible magnetic resonance thermometry (MRT). The strategy is tested on an experimental setup containing an anthropomorphic phantom. It is found that recursive estimation reduces the mean absolute temperature error for the phantom experiment by 38% when compared to MRT and may be a valuable addition to MRT, most notably in the case where high quality thermometry is temporally interleaved with thermometry of degraded quality.

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Hendrikx RWM, Curto S, de Jager B, Maljaars E, van Rhoon GC, Paulides MM et al. POD-based recursive temperature estimation for MR-guided RF hyperthermia cancer treatment: a pilot study. In 2018 IEEE Conference on Decision and Control, CDC 2018. Piscataway: Institute of Electrical and Electronics Engineers. 2019. blz. 5201-5208. 8619745. Beschikbaar vanaf, DOI: 10.1109/CDC.2018.8619745