@inproceedings{e23cff1c1862453bb8c46fee7d280658,
title = "A novel filtering approach for 3D harmonic phase analysis of tagged MRI",
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.",
keywords = "Imaging, brain, mechanics, tongue",
author = "Xiaokai Wang and Stone, {Maureen L.} and Prince, {Jerry L.} and Gomez, {Arnold D.}",
note = "Funding Information: The authors would like to thank Aaron Carass for manuscript preparation assistance. Funding is provided by grants R01DC014717 and R01NS055951 from the National Institutes of Health in the United States. Publisher Copyright: {\textcopyright} COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.; Medical Imaging 2018: Image Processing ; Conference date: 11-02-2018 Through 13-02-2018",
year = "2018",
doi = "10.1117/12.2293643",
language = "English (US)",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Angelini, {Elsa D.} and Angelini, {Elsa D.} and Landman, {Bennett A.}",
booktitle = "Medical Imaging 2018",
}