Comparison of Phase Estimation Methods for Quantitative Susceptibility Mapping Using a Rotating-Tube Phantom

Quantitative Susceptibility Mapping (QSM) is an MRI tool with the potential to reveal pathological changes from magnetic susceptibility measurements. Before phase data can be used to recover susceptibility (Δχ), the QSM process begins with two steps: data acquisition and phase estimation. We assess...

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Main Authors: Kathryn E. Keenan, Ben P. Berman, Slávka Rýger, Stephen E. Russek, Wen-Tung Wang, John A. Butman, Dzung L. Pham, Joseph Dagher
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Radiology Research and Practice
Online Access:http://dx.doi.org/10.1155/2021/1898461
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author Kathryn E. Keenan
Ben P. Berman
Slávka Rýger
Stephen E. Russek
Wen-Tung Wang
John A. Butman
Dzung L. Pham
Joseph Dagher
author_facet Kathryn E. Keenan
Ben P. Berman
Slávka Rýger
Stephen E. Russek
Wen-Tung Wang
John A. Butman
Dzung L. Pham
Joseph Dagher
author_sort Kathryn E. Keenan
collection DOAJ
description Quantitative Susceptibility Mapping (QSM) is an MRI tool with the potential to reveal pathological changes from magnetic susceptibility measurements. Before phase data can be used to recover susceptibility (Δχ), the QSM process begins with two steps: data acquisition and phase estimation. We assess the performance of these steps, when applied without user intervention, on several variations of a phantom imaging task. We used a rotating-tube phantom with five tubes ranging from Δχ=0.05 ppm to Δχ=0.336 ppm. MRI data was acquired at nine angles of rotation for four different pulse sequences. The images were processed by 10 phase estimation algorithms including Laplacian, region-growing, branch-cut, temporal unwrapping, and maximum-likelihood methods, resulting in approximately 90 different combinations of data acquisition and phase estimation methods. We analyzed errors between measured and expected phases using the probability mass function and Cumulative Distribution Function. Repeatable acquisition and estimation methods were identified based on the probability of relative phase errors. For single-echo GRE and segmented EPI sequences, a region-growing method was most reliable with Pr (relative error <0.1) = 0.95 and 0.90, respectively. For multiecho sequences, a maximum-likelihood method was most reliable with Pr (relative error <0.1) = 0.97. The most repeatable multiecho methods outperformed the most repeatable single-echo methods. We found a wide range of repeatability and reproducibility for off-the-shelf MRI acquisition and phase estimation approaches, and this variability may prevent the techniques from being widely integrated in clinical workflows. The error was dominated in many cases by spatially discontinuous phase unwrapping errors. Any postprocessing applied on erroneous phase estimates, such as QSM’s background field removal and dipole inversion, would suffer from error propagation. Our paradigm identifies methods that yield consistent and accurate phase estimates that would ultimately yield consistent and accurate Δχ estimates.
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spelling doaj-art-838459f75c5941f7a2c0fd771f4049602025-02-03T05:53:26ZengWileyRadiology Research and Practice2090-195X2021-01-01202110.1155/2021/1898461Comparison of Phase Estimation Methods for Quantitative Susceptibility Mapping Using a Rotating-Tube PhantomKathryn E. Keenan0Ben P. Berman1Slávka Rýger2Stephen E. Russek3Wen-Tung Wang4John A. Butman5Dzung L. Pham6Joseph Dagher7National Institute of Standards and TechnologyThe MITRE CorporationNational Institute of Standards and TechnologyNational Institute of Standards and TechnologyHenry M. Jackson FoundationClinical CenterHenry M. Jackson FoundationThe MITRE CorporationQuantitative Susceptibility Mapping (QSM) is an MRI tool with the potential to reveal pathological changes from magnetic susceptibility measurements. Before phase data can be used to recover susceptibility (Δχ), the QSM process begins with two steps: data acquisition and phase estimation. We assess the performance of these steps, when applied without user intervention, on several variations of a phantom imaging task. We used a rotating-tube phantom with five tubes ranging from Δχ=0.05 ppm to Δχ=0.336 ppm. MRI data was acquired at nine angles of rotation for four different pulse sequences. The images were processed by 10 phase estimation algorithms including Laplacian, region-growing, branch-cut, temporal unwrapping, and maximum-likelihood methods, resulting in approximately 90 different combinations of data acquisition and phase estimation methods. We analyzed errors between measured and expected phases using the probability mass function and Cumulative Distribution Function. Repeatable acquisition and estimation methods were identified based on the probability of relative phase errors. For single-echo GRE and segmented EPI sequences, a region-growing method was most reliable with Pr (relative error <0.1) = 0.95 and 0.90, respectively. For multiecho sequences, a maximum-likelihood method was most reliable with Pr (relative error <0.1) = 0.97. The most repeatable multiecho methods outperformed the most repeatable single-echo methods. We found a wide range of repeatability and reproducibility for off-the-shelf MRI acquisition and phase estimation approaches, and this variability may prevent the techniques from being widely integrated in clinical workflows. The error was dominated in many cases by spatially discontinuous phase unwrapping errors. Any postprocessing applied on erroneous phase estimates, such as QSM’s background field removal and dipole inversion, would suffer from error propagation. Our paradigm identifies methods that yield consistent and accurate phase estimates that would ultimately yield consistent and accurate Δχ estimates.http://dx.doi.org/10.1155/2021/1898461
spellingShingle Kathryn E. Keenan
Ben P. Berman
Slávka Rýger
Stephen E. Russek
Wen-Tung Wang
John A. Butman
Dzung L. Pham
Joseph Dagher
Comparison of Phase Estimation Methods for Quantitative Susceptibility Mapping Using a Rotating-Tube Phantom
Radiology Research and Practice
title Comparison of Phase Estimation Methods for Quantitative Susceptibility Mapping Using a Rotating-Tube Phantom
title_full Comparison of Phase Estimation Methods for Quantitative Susceptibility Mapping Using a Rotating-Tube Phantom
title_fullStr Comparison of Phase Estimation Methods for Quantitative Susceptibility Mapping Using a Rotating-Tube Phantom
title_full_unstemmed Comparison of Phase Estimation Methods for Quantitative Susceptibility Mapping Using a Rotating-Tube Phantom
title_short Comparison of Phase Estimation Methods for Quantitative Susceptibility Mapping Using a Rotating-Tube Phantom
title_sort comparison of phase estimation methods for quantitative susceptibility mapping using a rotating tube phantom
url http://dx.doi.org/10.1155/2021/1898461
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