Extended Kalman Filtering for Continuous Volumetric MR-Temperature Imaging
hal.structure.identifier | Institut de Mathématiques de Bordeaux [IMB] | |
dc.contributor.author | DENIS DE SENNEVILLE, Baudouin | |
hal.structure.identifier | Imagerie moléculaire et fonctionnelle: de la physiologie à la thérapie | |
dc.contributor.author | ROUJOL, Sébastien | |
hal.structure.identifier | Imagerie moléculaire et fonctionnelle: de la physiologie à la thérapie | |
dc.contributor.author | HEY, Silke | |
hal.structure.identifier | Imagerie moléculaire et fonctionnelle: de la physiologie à la thérapie | |
dc.contributor.author | MOONEN, Chrit | |
hal.structure.identifier | University Medical Center [Utrecht] [UMCU] | |
dc.contributor.author | RIES, Mario | |
dc.date.accessioned | 2024-04-04T03:09:18Z | |
dc.date.available | 2024-04-04T03:09:18Z | |
dc.date.issued | 2013 | |
dc.identifier.issn | 0278-0062 | |
dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/193593 | |
dc.description.abstractEn | Real time magnetic resonance (MR) thermometry has evolved into the method of choice for the guidance of high-intensity focused ultrasound (HIFU) interventions. For this role, MR-thermometry should preferably have a high temporal and spatial resolution and allow observing the temperature over the entire targeted area and its vicinity with a high accuracy. In addition, the precision of real time MR-thermometry for therapy guidance is generally limited by the available Signal to Noise ratio (SNR) and the influence of physiological noise. MR-guided HIFU would benefit of the large coverage volumetric temperature maps, including characterization of volumetric heating trajectories as well as near-and far-field heating. In this paper, continuous volumetric MR-temperature monitoring was obtained as follows: The targeted area was continuously scanned during the heating process by a multi-slice sequence. Measured data and a priori knowledge of 3D data derived from a forecast based on a physical model were combined using an Extended Kalman Filter (EKF). The proposed reconstruction improved the temperature measurement resolution and precision while maintaining guaranteed output accuracy. The method was evaluated experimentally ex-vivo on a phantom , and in-vivo on a porcine kidney, using HIFU heating. On the in-vivo experiment, it allowed the reconstruction from a spatio-temporally under-sampled data set (with an update rate for each voxel of 1.143 s) to a 3D dataset covering a field of view of 142.5×285×54 mm 3 with a voxel size of 3×3×6 mm 3 and a temporal resolution of 0.127 s. The method also provided noise reduction, while having a minimal impact on accuracy and latency. | |
dc.language.iso | en | |
dc.publisher | Institute of Electrical and Electronics Engineers | |
dc.subject.en | Magnetic Resonance Imaging | |
dc.subject.en | Real time systems | |
dc.subject.en | Motion analysis | |
dc.title.en | Extended Kalman Filtering for Continuous Volumetric MR-Temperature Imaging | |
dc.type | Article de revue | |
dc.identifier.doi | 10.1109/TMI.2012.2234760 | |
dc.subject.hal | Sciences de l'ingénieur [physics]/Traitement du signal et de l'image | |
dc.subject.hal | Sciences du Vivant [q-bio]/Ingénierie biomédicale/Imagerie | |
bordeaux.journal | IEEE Transactions on Medical Imaging | |
bordeaux.page | 711-718 | |
bordeaux.volume | 32 | |
bordeaux.hal.laboratories | Institut de Mathématiques de Bordeaux (IMB) - UMR 5251 | * |
bordeaux.issue | 4 | |
bordeaux.institution | Université de Bordeaux | |
bordeaux.institution | Bordeaux INP | |
bordeaux.institution | CNRS | |
bordeaux.peerReviewed | oui | |
hal.identifier | hal-01578187 | |
hal.version | 1 | |
hal.popular | non | |
hal.audience | Internationale | |
hal.origin.link | https://hal.archives-ouvertes.fr//hal-01578187v1 | |
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