Radial Basis Function Interpolation for Referenceless Thermometry Enhancement

Salvatore Vitabile, Cesare Gagliardo, Luca Agnello, Carmelo Militello, Carmelo Militello

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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.
Lingua originaleEnglish
Titolo della pubblicazione ospiteAdvances in Neural Networks: Computational and Theoretical Issues
Numero di pagine12
Stato di pubblicazionePublished - 2015

Serie di pubblicazioni

NomeSMART INNOVATION, SYSTEMS AND TECHNOLOGIES

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All Science Journal Classification (ASJC) codes

  • Decision Sciences(all)
  • Computer Science(all)

Cita questo

Vitabile, S., Gagliardo, C., Agnello, L., Militello, C., & Militello, C. (2015). Radial Basis Function Interpolation for Referenceless Thermometry Enhancement. In Advances in Neural Networks: Computational and Theoretical Issues (SMART INNOVATION, SYSTEMS AND TECHNOLOGIES).