- Poster presentation
- Open Access
The importance of phase drift correction for accurate MR thermometry in long duration MR-HIFU exposures
© Bing et al; licensee BioMed Central Ltd. 2015
- Published: 30 June 2015
- Drift Correction
- HIFU Treatment
- Proton Resonance Frequency
- Average Temperature Change
- Proton Resonance Frequency Shift
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).
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.
CPRIT R1308, Evelyn and M.R. Hudson Foundation, research contract with Philips Healthcare, NIH 1R21CA159550.
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.