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

Sensors

Paola Saccomandi¹  Martina De Landro¹  Maxime Yon²  Bruno Quesson²  Alexey Wolf³  Emiliano Schena⁴  Jacopo Ianniello⁴ 

[1] Department of Mechanical Engineering, Politecnico di Milano, via Giuseppe La Masa 1, 20156 Milan, Italy;Institut Hospitalo-Universitaire, Liryc Institut de Rythmologie et Modélisation Cardiaque, Avenue du Haut Lévêque, 33600 Pessac, France;Laboratory of Fiber Optics, Institute of Automation and Electrometry of the SB RAS, 1 Acad. Koptyug Ave., 630090 Novosibirsk, Russia;Unit of Measurements and Biomedical Instrumentation, Departmental Faculty of Engineering, Università Campus Bio-Medico di Roma, via Alvaro del Portillo 21, 00128 Rome, Italy;

关键词: thermometry;    fiber bragg grating sensors;    magnetic resonance thermometry imaging;    accuracy evaluation;    gradient-echo echo-planar imaging;    laser ablation;   

DOI  :  10.3390/s20226468

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown