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Article Dans Une Revue Sensors Année : 2020

Fiber Bragg Grating Sensors for Performance Evaluation of Fast Magnetic Resonance Thermometry on Synthetic Phantom

Martina de Landro
  • Fonction : Auteur
Jacopo Ianniello
  • Fonction : Auteur
Maxime Yon
  • Fonction : Auteur
Alexey Wolf
  • Fonction : Auteur
Emiliano Schena
  • Fonction : Auteur
Paola Saccomandi
  • Fonction : Auteur

Résumé

The increasing recognition of minimally invasive thermal treatment of tumors motivate the development of accurate thermometry approaches for guaranteeing the therapeutic efficacy and safety. Magnetic Resonance Thermometry Imaging (MRTI) is nowadays considered the gold-standard in thermometry for tumor thermal therapy, and assessment of its performances is required for clinical applications. This study evaluates the accuracy of fast MRTI on a synthetic phantom, using dense ultra-short Fiber Bragg Grating (FBG) array, as a reference. Fast MRTI is achieved with a multi-slice gradient-echo echo-planar imaging (GRE-EPI) sequence, allowing monitoring the temperature increase induced with a 980 nm laser source. The temperature distributions measured with 1 mm-spatial resolution with both FBGs and MRTI were compared. The root mean squared error (RMSE) value obtained by comparing temperature profiles showed a maximum error of 1.2 • C. The Bland-Altman analysis revealed a mean of difference of 0.1 • C and limits of agreement 1.5/−1.3 • C. FBG sensors allowed to extensively assess the performances of the GRE-EPI sequence, in addition to the information on the MRTI precision estimated by considering the signal-to-noise ratio of the images (0.4 • C). Overall, the results obtained for the GRE-EPI fully satisfy the accuracy (~2 • C) required for proper temperature monitoring during thermal therapies.
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Dates et versions

hal-03033070 , version 1 (01-12-2020)

Identifiants

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Martina de Landro, Jacopo Ianniello, Maxime Yon, Alexey Wolf, Bruno Quesson, et al.. Fiber Bragg Grating Sensors for Performance Evaluation of Fast Magnetic Resonance Thermometry on Synthetic Phantom. Sensors, 2020, 20 (22), pp.6468. ⟨10.3390/s20226468⟩. ⟨hal-03033070⟩
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