Full Paper
Model predictive filtering MR thermometry: Effects of model inaccuracies, k-space reduction factor, and temperature increase rate
Henrik Odéen,
Nick Todd,
Christopher Dillon,
Allison Payne,
Dennis L. Parker,
Corresponding Author
Henrik Odéen
Department of Radiology, University of Utah, Salt Lake City, Utah, USA
Department of Physics and Astronomy, University of Utah, Salt Lake City, Utah, USA
Correspondence to: Henrik Odéen, Ph.D., UCAIR, Department of Radiology, 729 Arapeen Drive, Salt Lake City, Utah 84108. E-mail: [email protected]Search for more papers by this authorNick Todd
Department of Radiology, University of Utah, Salt Lake City, Utah, USA
Search for more papers by this authorChristopher Dillon
Department of Bioengineering, University of Utah, Salt Lake City, Utah, USA
Search for more papers by this authorAllison Payne
Department of Radiology, University of Utah, Salt Lake City, Utah, USA
Search for more papers by this authorDennis L. Parker
Department of Radiology, University of Utah, Salt Lake City, Utah, USA
Search for more papers by this authorHenrik Odéen,
Nick Todd,
Christopher Dillon,
Allison Payne,
Dennis L. Parker,
Corresponding Author
Henrik Odéen
Department of Radiology, University of Utah, Salt Lake City, Utah, USA
Department of Physics and Astronomy, University of Utah, Salt Lake City, Utah, USA
Correspondence to: Henrik Odéen, Ph.D., UCAIR, Department of Radiology, 729 Arapeen Drive, Salt Lake City, Utah 84108. E-mail: [email protected]Search for more papers by this authorNick Todd
Department of Radiology, University of Utah, Salt Lake City, Utah, USA
Search for more papers by this authorChristopher Dillon
Department of Bioengineering, University of Utah, Salt Lake City, Utah, USA
Search for more papers by this authorAllison Payne
Department of Radiology, University of Utah, Salt Lake City, Utah, USA
Search for more papers by this authorDennis L. Parker
Department of Radiology, University of Utah, Salt Lake City, Utah, USA
Search for more papers by this authorAbstract
Purpose
Evaluate effects of model parameter inaccuracies (thermal conductivity, k, and ultrasound power deposition density, Q), k-space reduction factor (R), and rate of temperature increase (
) in a thermal model-based reconstruction for MR-thermometry during focused-ultrasound heating.
Methods
Simulations and ex vivo experiments were performed to investigate the accuracy of the thermal model and the model predictive filtering (MPF) algorithm for varying R and
, and their sensitivity to errors in k and Q. Ex vivo data was acquired with a segmented EPI pulse sequence to achieve large field-of-view (192 × 162 × 96 mm) four-dimensional temperature maps with high spatiotemporal resolution (1.5 × 1.5 × 2.0 mm, 1.7 s).
Results
In the simulations, 50% errors in k and Q resulted in maximum temperature root mean square errors (RMSE) of 6°C for model only and 3°C for MPF. Using recently developed methods, estimates of k and Q were accurate to within 3%. The RMSE between MPF and true temperature increased with R and
. In the ex vivo study the RMSE remained below 0.7°C for R ranging from 4 to 12 and
of 0.28–0.75°C/s.
Conclusion
Errors in MPF temperatures occur due to errors in k and Q. These MPF temperature errors increase with increase in R and
, but are smaller than those obtained using the thermal model alone. Magn Reson Med 75:207–216, 2016. © 2015 Wiley Periodicals, Inc.
Supporting Information
Additional Supporting Information may be found in the online version of this article.
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Supporting Information. |
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