A novel filtering approach for 3D harmonic phase analysis of tagged MRI

Xiaokai Wang; Maureen L. Stone; Jerry L. Prince; Arnold D. Gomez

doi:10.1117/12.2293643

2 March 2018 A novel filtering approach for 3D harmonic phase analysis of tagged MRI

Xiaokai Wang, Maureen L. Stone, Jerry L. Prince, Arnold D. Gomez

Proceedings Volume 10574, Medical Imaging 2018: Image Processing; 1057414 (2018) https://doi.org/10.1117/12.2293643
Event: SPIE Medical Imaging, 2018, Houston, Texas, United States

Abstract

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.

Conference Presentation

Citation Download Citation

Xiaokai Wang, Maureen L. Stone, Jerry L. Prince, and Arnold D. Gomez "A novel filtering approach for 3D harmonic phase analysis of tagged MRI", Proc. SPIE 10574, Medical Imaging 2018: Image Processing, 1057414 (2 March 2018); https://doi.org/10.1117/12.2293643

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