ArticleIEEE transactions on medical imaging2012
Kalman filtered MR temperature imaging for laser induced thermal therapies.
Article in IEEE transactions on medical imaging, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Adaptive simulation of 3D thermometry maps for interventional MR-guided tumor ablation using Pennes' bioheat equation and isotherms.Scientific reports · 2022Article
- Improved MR thermometry for laser interstitial thermotherapy.Lasers in surgery and medicine · 2019Article
- Magnetic resonance thermometry and its biological applications - Physical principles and practical considerations.Progress in nuclear magnetic resonance spectroscopy · 2019Review
- Temperature mapping of exothermicInternational journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group · 2019Article
- Accelerated magnetic resonance thermometry in the presence of uncertainties.Physics in medicine and biology · 2017Article
- MR thermometry for focused ultrasound monitoring utilizing model predictive filtering and ultrasound beam modeling.Journal of therapeutic ultrasound · 2016Article
- Model predictive filtering MR thermometry: Effects of model inaccuracies, k-space reduction factor, and temperature increase rate.Magnetic resonance in medicine · 2016Article
- Generalised polynomial chaos-based uncertainty quantification for planning MRgLITT procedures.International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group · 2013Article
- An inverse problem approach to recovery of in vivo nanoparticle concentrations from thermal image monitoring of MR-guided laser induced thermal therapy.Annals of biomedical engineering · 2013Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
The feasibility of using a stochastic form of Pennes bioheat model within a 3-D finite element based Kalman filter (KF) algorithm is critically evaluated for the ability to provide temperature field estimates in the event of magnetic resonance temperature imaging (MRTI) data loss during laser induced thermal therapy (LITT). The ability to recover missing MRTI data was analyzed by systematically removing spatiotemporal information from a clinical MR-guided LITT procedure in human brain and comparing predictions in these regions to the original measurements. Performance was quantitatively evaluated in terms of a dimensionless L(2) (RMS) norm of the temperature error weighted by acquisition uncertainty. During periods of no data corruption, observed error histories demonstrate that the Kalman algorithm does not alter the high quality temperature measurement provided by MR thermal imaging. The KF-MRTI implementation considered is seen to predict the bioheat transfer with RMS error < 4 for a short period of time, ∆t < 10 s, until the data corruption subsides. In its present form, the KF-MRTI method currently fails to compensate for consecutive for consecutive time periods of data loss ∆t > 10 sec.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.