Volume 3 Supplement 1

Current and Future Applications of Focused Ultrasound 2014. 4th International Symposium: abstracts

Open Access

The importance of phase drift correction for accurate MR thermometry in long duration MR-HIFU exposures

  • Chenchen Bing1,
  • Charles Mougenot2,
  • Robert Staruch3,
  • Elizabeth Ramsay4,
  • Alain Schmitt5,
  • Juha Kortelainen6,
  • Julius Koskela7 and
  • Rajiv Chopra1
Journal of Therapeutic Ultrasound20153(Suppl 1):P57

https://doi.org/10.1186/2050-5736-3-S1-P57

Published: 30 June 2015

Background/introduction

In MRI-guided high-intensity focused ultrasound (MR-HIFU) therapy, temperature-dependent proton resonance frequency (PRF) shift is a key factor to quantify and visualize the spatial heating pattern in treated and surrounding tissue. However, during treatment, multiple scanner-related changes can impact the accuracy of the temperature measurements obtained with the PRF shift method and cause an over/under estimation of temperature, which can be a major safety issue for treatments involving real-time temperature control. Hence, it is necessary to apply corrections to ensure accurate temperature measurements during heating. Prior to image acquisition, the central MR frequency F0 can be measured to adjust the F0 of next image acquisition. After acquisition, corrections can be applied to the acquired images to remove scanner-related influences, most importantly phase drift. Different phase drift correction algorithms such as conventional and polynomial adaptive drift correction estimate the background phase by fitting a linear or polynomial to the image phase outside the treatment area and perform the correction accordingly. The goal of this study was to understand the performance of these algorithms for long heating durations as would be experienced during hyperthermia or transurethral HIFU (>20 minutes).

Methods

Data was collected in phantom, animal and human studies ongoing within our research program using both Philips Achieva 3.0T and Ingenia 3.0T MR scanner (Philips Healthcare, Netherlands). Data-sets included heating and no heating, as well as non-invasive and minimally-invasive HIFU devices. MR thermometry with echo-planar imaging (EPI) and conventional gradient echo (FFE) pulse sequences were investigated, with varying repetition time (TR) and EPI factor. Several drift correction algorithms were evaluated, including conventional correction, zero and higher order polynomial adaptive correction, dynamic F0 stabilization by the scanner, and the default drift correction of the clinical MR-HIFU system. Raw data with no correction was analyzed as well. Data acquisition ranged from 5 to 30 minutes, representing the type of acquisition that would be used during hyperthermia or transurethral HIFU.

Results and conclusions

The average temperature change measured due to drift was approximately 2.6°C per min without drift correction for an EPI sequence while close to 0°C per min for an FFE sequence. The temperature change decreased to 0.1°C per min under conventional drift correction and even further using adaptive drift correction and dynamic F0 stabilization. With longer TR (50ms vs. 33ms) and larger EPI factor (15 vs. 11), the temperature change decreased to 1.7°C per min and 1°C per min separately. In vivo data (rabbit) indicated an average change of 3°C per min (range from 3°C to 3.5°C per min) and was significantly reduced under all four algorithms. During the clinical prostate HIFU treatments a drive of 3°C per min was observed. Image-shifts in the phase encode direction of approximately 1 pixel (1mm) every 10 minutes were measured in the absence of dynamic stabilization. In conclusion, drift corrections is necessary for accurate thermometry during long duration HIFU exposures.
Figure 1

Image shift during transurethral prostate HIFU treatment. Panel A and B represents two patients separately. The blue curve indicates displacement of 0.1mm/min along AP direction (phase encoding direction). The green curve shows no significant displacement along RL direction.

Declarations

Acknowledgements (Funding)

CPRIT R1308, Evelyn and M.R. Hudson Foundation, research contract with Philips Healthcare, NIH 1R21CA159550.

Authors’ Affiliations

(1)
University of Texas Southwestern Medical Center
(2)
Philips Healthcare Canada
(3)
Philips Research
(4)
Sunnybrook Health Sciences Centre
(5)
Sunnybrook Research Institute
(6)
VTT Technical Research Centre of Finland
(7)
Philips Healthcare

Copyright

© Bing et al; licensee BioMed Central Ltd. 2015

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Advertisement