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

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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.

LanguageEnglish
Title of host publication2018 IEEE Conference on Decision and Control, CDC 2018
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages5201-5208
Number of pages8
ISBN (Electronic)9781538613955
DOIs
StatePublished - 18 Jan 2019
Event57th IEEE Conference on Decision and Control, CDC 2018 - Miami, United States
Duration: 17 Dec 201819 Dec 2018
Conference number: 57

Conference

Conference57th IEEE Conference on Decision and Control, CDC 2018
Abbreviated titleCDC 2018
CountryUnited States
CityMiami
Period17/12/1819/12/18

Fingerprint

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

Cite this

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 (pp. 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. pp. 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, pp. 5201-5208, 57th IEEE Conference on Decision and Control, CDC 2018, Miami, United States, 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. p. 5201-5208 8619745.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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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. p. 5201-5208. 8619745. Available from, DOI: 10.1109/CDC.2018.8619745