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Abstract #2186

The Effects of Image Filtering on the Accuracy and Precision of Magnetic Resonance Hydrophone Measurements

Steven Allen1, Davi Cavinatto2, Carson Reed3, and Paul-Emile Passe-Carlus3
1Brigham Young University, Provo, UT, United States, 2Biomedical Engineering, University of Utah, Salt Lake City, UT, United States, 3Electrical and Computer Engineering, Brigham Young University, Provo, UT, United States

Synopsis

Keywords: MR-Guided Focused Ultrasound, Focused Ultrasound, gradient, hydrophone, motion

Motivation: We seek higher precision Magnetic Resonance Hydrophone (MRH) measures of acoustic pressure. More precise measures will improve MRI guidance of focused ultrasound neurmodulation therapies.

Goal(s): We seek to improve precision in magnetic resonance hydrophonography without loss in measurement accuracy.
We hypothesize that filters excluding spatial information wave-numbers less than that of the measured acoustic wave will improve measurement precision.

Approach: We acquired MRH images and characterized their accuracy and precision against a calibrated hydrophone. We repeated this process after using 5 specially designed filters.

Results: The filters improved precision at a modest cost of accuracy.

Impact: This study will inform future users of MR hydrophone techniques of the basic tradeoffs image filtering imposes on measurement accuracy and precision.

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Keywords