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Abstract #3427

The impact of multi-coil combination techniques on multi-baseline temperature imaging methods

John Austin Roberts1, Henrik Odeen1, Sunil Patil2, Waqas Majeed2, Bradley Bolster3, Himanshu Bhat4, and Dennis L Parker1
1Radiology and Imaging Sciences, University of Utah, Salt lake City, UT, United States, 2Siemens Medical Solutions USA, Inc, Baltimore, MD, United States, 3Siemens Medical Solutions USA, Inc, Salt Lake City, UT, United States, 4Siemens Medical Solutions USA, Inc, Boston, MA, United States

In magnetic resonance thermometry based on proton resonance frequency shift, temperature is computed based on changes in phase as measured: with respect to previously acquired images (baselines); between regions within the same image (referenceless); or some hybrid of the two approaches. In phase reconstruction algorithms, how multi-coil data is combined affects both computational efficiency and temperature measurement precision. We modify a hybrid thermometry phase reconstruction algorithm to test several coil combination methods for computational efficiency and to evaluate their effect on temperature measurement precision. Results suggest applying coil-combination prior to phase extraction both for efficiency and SNR.

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