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Abstract #2590

An Adaptive Non-Local Denoising Method for Real-Time MR-Thermometry

Cornel Zachiu1, Mario Ries1, Chrit Moonen1, and Baudouin Denis de Senneville1,2

1University Medical Center Utrecht, Utrecht, Netherlands, 2University of Bordeaux, Bordeuaux, France

MR-guided targeted thermal therapies often rely on temperature information provided by proton resonance frequency shift (PRFS) thermometry. However, fast MR acquisition schemes are usually employed, in order to provide temperature updates with a short latency. This may lead to noisy temperature measurements, which can have a direct impact on therapy control and monitoring. In the current study we propose a novel non-local denoising technique for real-time MR-thermometry that improves data precision, while at the same time maximizing output accuracy, feature which is not guaranteed by currently employed real-time MR-temperature denoising methods.

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