@inbook{289f35d21c8545f88fb19a60ffee6820,
title = "Radial Basis Function Interpolation for Referenceless Thermometry Enhancement",
abstract = "MRgFUS (Magnetic Resonance guided Focused UltraSound) is a new and non-invasive technique to treat different diseases in the oncology field, that uses Focused Ultrasound (FUS) to induce necrosis in the lesion.Temperature change measurements during ultrasound thermo-therapies can be performed through magnetic resonance monitoring by using Proton Resonance Frequency (PRF) thermometry. It measures the phase variation resulting from the temperature-dependent changes in resonance frequency by subtracting one phase baseline image from actual phase. Referenceless thermometry aims to re-duce artefacts caused by tissue motion and frequency drift, fitting the back-ground phase outside the heated region. The aim of this contribution is to pro-pose a novel background phase reconstruction method using Radial Basis Func-tion (RBF) interpolation. The effectiveness of the method has been demonstrat-ed by comparing it against the classical PRF shift and polynomial referenceless approach. The comparison evaluates temperature rises in uterine fibroids during MRgFUS treatments on a set of 10 patients.",
author = "Luca Agnello and Cesare Gagliardo and Salvatore Vitabile and Carmelo Militello and Carmelo Militello",
year = "2015",
language = "English",
isbn = "978-3-319-18163-9",
series = "SMART INNOVATION, SYSTEMS AND TECHNOLOGIES",
booktitle = "Advances in Neural Networks: Computational and Theoretical Issues",
}