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Proc SPIE Int Soc Opt Eng. 2018 Feb;10574. pii: 1057414. doi: 10.1117/12.2293643. Epub 2018 Mar 2.

A Novel Filtering Approach for 3D Harmonic Phase Analysis of Tagged MRI.

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Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, US 21205.
Department of Neural and Pain Sciences, Department of Orthodontics, University of Maryland Dental School, Baltimore, MD, US 21201.
Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, US 21218.


Harmonic phase analysis has been used to perform noninvasive organ motion and strain estimation using tagged magnetic resonance imaging (MRI). The filtering process, which is used to produce harmonic phase images used for tissue tracking, influences the estimation accuracy. In this work, we evaluated different filtering approaches, and propose a novel high-pass filter for volumes tagged in individual directions. Testing was done using an open benchmarking dataset and synthetic images obtained using a mechanical model. We compared estimation results from our filtering approach with results from the traditional filtering approach. Our results indicate that 1) the proposed high-pass filter outperforms the traditional filtering approach reducing error by as much as 50% and 2) the accuracy improvements are especially marked in complex deformations.


Imaging; brain; mechanics; tongue

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