Literature DB >> 20443470

Observation and correction of transient cavitation-induced PRFS thermometry artifacts during radiofrequency ablation, using simultaneous ultrasound/MR imaging.

Magalie Viallon1, Sylvain Terraz, Joerg Roland, Erik Dumont, Christoph D Becker, Rares Salomir.   

Abstract

PURPOSE: MR thermometry based on the proton resonance frequency shift (PRFS) is the most commonly used method for the monitoring of thermal therapies. As the chemical shift of water protons is temperature dependent, the local temperature variation (relative to an initial baseline) may be calculated from time-dependent phase changes in gradient-echo (GRE) MR images. Dynamic phase shift in GRE images is also produced by time-dependent changes in the magnetic bulk susceptibility of tissue. Gas bubbles (known as "white cavitation") are frequently visualized near the RF electrode in ultrasonography-guided radio frequency ablation (RFA). This study aimed to investigate RFA-induced cavitation's effects by using simultaneous ultrasonography and MRI, to both visualize the cavitation and quantify the subsequent magnetic susceptibility-mediated errors in concurrent PRFS MR-thermometry (MRT) as well as to propose a first-order correction for the latter errors.
METHODS: RF heating in saline gels and in ex vivo tissues was performed with MR-compatible bipolar and monopolar electrodes inside a 1.5 T MR clinical scanner. Ultrasonography simultaneous to PRFS MRT was achieved using a MR-compatible phased-array ultrasonic transducer. PRFS MRT was performed interleaved in three orthogonal planes and compared to measurements from fluoroptic sensors, under low and, respectively, high RFA power levels. Control experiments were performed to isolate the main source of errors in standard PRFS thermometry.
RESULTS: Ultrasonography, MRI and digital camera pictures clearly demonstrated generation of bubbles every time when operating the radio frequency equipment at therapeutic powers (> or = 30 W). Simultaneous bimodal (ultrasonography and MRI) monitoring of high power RF heating demonstrated a correlation between the onset of the PRFS-thermometry errors and the appearance of bubbles around the applicator. In an ex vivo study using a bipolar RF electrode under low power level (5 W), the MR measured temperature curves accurately matched the reference fluoroptic data. In similar ex vivo studies when applying higher RFA power levels (30 W), the correlation plots of MR thermometry versus fluoroptic data showed large errors in PRFS-derived temperature (up to 45 degrees C absolute deviation, positive or negative) depending not only on fluoroptic tip position but also on the RF electrode orientation relative to the B0 axis. Regions with apparent decrease in the PRFS-derived temperature maps as much as 30 degrees C below the initial baseline were visualized during RFA high power application. Ex vivo data were corrected assuming a Gaussian dynamic source of susceptibility, centered in the anode/cathode gap of the RF bipolar electrode. After correction, the temperature maps recovered the revolution symmetry pattern predicted by theory and matched the fluoroptic data within 4.5 degrees C mean offset.
CONCLUSIONS: RFA induces dynamic changes in magnetic bulk susceptibility in biological tissue, resulting in large and spatially dependent errors of phase-subtraction-only PRFS MRT and unexploitable thermal dose maps. These thermometry artifacts were strongly correlated with the appearance of transient cavitation. A first-order dynamic model of susceptibility provided a useful method for minimizing these artifacts in phantom and ex vivo experiments.

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Year:  2010        PMID: 20443470     DOI: 10.1118/1.3309439

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  8 in total

1.  Correction of susceptibility-induced GRE phase shift for accurate PRFS thermometry proximal to cryoablation iceball.

Authors:  Antje Kickhefel; Clifford Weiss; Joerg Roland; Patrick Gross; Fritz Schick; Rares Salomir
Journal:  MAGMA       Date:  2011-09-04       Impact factor: 2.310

2.  Creating brain lesions with low-intensity focused ultrasound with microbubbles: a rat study at half a megahertz.

Authors:  Yuexi Huang; Natalia I Vykhodtseva; Kullervo Hynynen
Journal:  Ultrasound Med Biol       Date:  2013-06-04       Impact factor: 2.998

3.  Arterial input function calculation in dynamic contrast-enhanced MRI: an in vivo validation study using co-registered contrast-enhanced ultrasound imaging.

Authors:  Hatef Mehrabian; Chaitanya Chandrana; Ian Pang; Rajiv Chopra; Anne L Martel
Journal:  Eur Radiol       Date:  2012-03-27       Impact factor: 5.315

4.  Respiratory-gated MRgHIFU in upper abdomen using an MR-compatible in-bore digital camera.

Authors:  Vincent Auboiroux; Lorena Petrusca; Magalie Viallon; Arnaud Muller; Sylvain Terraz; Romain Breguet; Xavier Montet; Christoph D Becker; Rares Salomir
Journal:  Biomed Res Int       Date:  2014-01-29       Impact factor: 3.411

5.  Anatomical Phase Extraction (APE) Method: A Novel Method to Correct Detrimental Effects of Tissue-Inhomogeneity in Referenceless MR Thermometry-Preliminary Ex Vivo Investigation.

Authors:  Chien-Feng Judith Huang; Win-Li Lin; San-Chao Hwang; Ching Yao; Hsu Chang; Li-Wei Kuo
Journal:  Comput Math Methods Med       Date:  2021-08-10       Impact factor: 2.238

6.  An experimental model to investigate the targeting accuracy of MR-guided focused ultrasound ablation in liver.

Authors:  Lorena Petrusca; Magalie Viallon; Romain Breguet; Sylvain Terraz; Gibran Manasseh; Vincent Auboiroux; Thomas Goget; Loredana Baboi; Patrick Gross; K Michael Sekins; Christoph D Becker; Rares Salomir
Journal:  J Transl Med       Date:  2014-01-16       Impact factor: 5.531

7.  Development of a hybrid magnetic resonance and ultrasound imaging system.

Authors:  Victoria Sherwood; John Civale; Ian Rivens; David J Collins; Martin O Leach; Gail R ter Haar
Journal:  Biomed Res Int       Date:  2014-08-07       Impact factor: 3.411

Review 8.  Fiber Optic Sensors for Temperature Monitoring during Thermal Treatments: An Overview.

Authors:  Emiliano Schena; Daniele Tosi; Paola Saccomandi; Elfed Lewis; Taesung Kim
Journal:  Sensors (Basel)       Date:  2016-07-22       Impact factor: 3.576

  8 in total

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