ArticleMagnetic resonance in medicine2016
Predicting long-term temperature increase for time-dependent SAR levels with a single short-term temperature response.
Article in Magnetic resonance in medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Temperature-based MRI safety simulations with a limited number of tissues.Magnetic resonance in medicine · 2021Article
- Transceive phase corrected 2D contrast source inversion-electrical properties tomography.Magnetic resonance in medicine · 2021Article
- 7T MR Safety.Journal of magnetic resonance imaging : JMRI · 2021Article
- Optimization of the order and spacing of sequences in an MRI exam to reduce the maximum temperature and thermal dose.Magnetic resonance in medicine · 2019Article
- Parallel transmission RF pulse design with strict temperature constraints.NMR in biomedicine · 2017Article
- Complex difference constrained compressed sensing reconstruction for accelerated PRF thermometry with application to MRI-induced RF heating.Magnetic resonance in medicine · 2015Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
purposePresent a novel method for rapid prediction of temperature in vivo for a series of pulse sequences with differing levels and distributions of specific energy absorption rate (SAR). THEORY AND
methodsAfter the temperature response to a brief period of heating is characterized, a rapid estimate of temperature during a series of periods at different heating levels is made using a linear heat equation and impulse-response (IR) concepts. Here the initial characterization and long-term prediction for a complete spine exam are made with the Pennes' bioheat equation where, at first, core body temperature is allowed to increase and local perfusion is not. Then corrections through time allowing variation in local perfusion are introduced.
resultsThe fast IR-based method predicted maximum temperature increase within 1% of that with a full finite difference simulation, but required less than 3.5% of the computation time. Even higher accelerations are possible depending on the time step size chosen, with loss in temporal resolution. Correction for temperature-dependent perfusion requires negligible additional time and can be adjusted to be more or less conservative than the corresponding finite difference simulation.
conclusionWith appropriate methods, it is possible to rapidly predict temperature increase throughout the body for actual MR examinations.
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