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Proceedings Paper

A novel filtering approach for 3D harmonic phase analysis of tagged MRI
Author(s): Xiaokai Wang; Maureen L. Stone; Jerry L. Prince; Arnold D. Gomez
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Paper 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.

Paper Details

Date Published: 2 March 2018
PDF: 8 pages
Proc. SPIE 10574, Medical Imaging 2018: Image Processing, 1057414 (2 March 2018); doi: 10.1117/12.2293643
Show Author Affiliations
Xiaokai Wang, Johns Hopkins Univ. (United States)
Maureen L. Stone, Univ. of Maryland Dental School (United States)
Jerry L. Prince, Johns Hopkins Univ. (United States)
Arnold D. Gomez, Johns Hopkins Univ. (United States)

Published in SPIE Proceedings Vol. 10574:
Medical Imaging 2018: Image Processing
Elsa D. Angelini; Bennett A. Landman, Editor(s)

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