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Group name EquipeCTCS
Item Type Journal Article
Title Analysis and reduction of thermal dose errors in MRgFUS treatment
Creator Zucconi et al.
Author F. Zucconi
Author P. E. Colombo
Author S. Pasetto
Author A. Lascialfari
Author C. Ticca
Author A. Torresin
Abstract ExAblate 2000 MRgFUS system (InSightec) installed in Ospedale Maggiore Niguarda Ca' Granda (Milano, Italy) is currently used to treat uterine fibroids. Through the magnetic resonance thermometry (PRF method), it is possible to monitor the temperature in the target in real-time and compute the treated region calculating the thermal dose. The purpose of this work is to investigate the errors in the temperature measurements and their effect on thermal dose. A low pass filtering of temperature maps is proposed to reduce the errors and therefore to improve the reliability of the treated regions calculated. The PRF method was studied through a calibration experiment on ex vivo pig muscle. The outcome resulted to be a very good linearity (p value 0.03) between phase and temperature in the range of interest, and an alpha value of -0.0109 +/- 0.0002 ppm/ degrees C. Temperature statistical uncertainty was evaluated by analyzing the temperature readout variability in specific gel provided by InSightec for daily quality assurance control. It resulted to be 1.89 +/- 0.32 degrees C. A Monte Carlo simulation of the MRI temperature measurement and thermal dose calculations in our specific conditions of geometry and statistical uncertainty revealed that a low-pass filtering process on each temperature map can strongly reduce systematic errors in thermal dose evaluations (1.11 overestimation factor instead of 2.62 without filter); consequently the systematic errors on the size of the predicted ablated area are reduced as well.
Publication Phys Med
Volume 30
Pages 111-6
Date Feb 2014
Journal Abbr Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics
DOI 10.1016/j.ejmp.2013.04.003
ISSN 1724-191X (Electronic) 1120-1797 (Linking)
Tags *Magnetic Resonance Imaging, *Temperature, *Ultrasonics, clinic, Humans, Leiomyoma/surgery, Monte Carlo Method, stan, Surgery, Computer-Assisted/*methods, Uncertainty
Date Added 2018/11/14 - 15:24:46
Date Modified 2019/05/14 - 20:23:34
Notes and Attachments (Note)
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23746616 (Attachment)


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