Simultaneous <scp>3D</scp> quantitative magnetization transfer imaging and susceptibility mapping

A unified acquisition and modeling strategy based on an analytical signal model that fully leverages both the magnitude and phase of the acquired signals was demonstrated and validated for simultaneous MT, susceptibility and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics> <mml:mrow><mml:msubsup><mml:mi>T</mml:mi> <mml:mn>2</mml:mn> <mml:mo>*</mml:mo></mml:msubsup> </mml:mrow> <mml:annotation>$$ {T}_2^{\ast } $$</mml:annotation></mml:semantics> </mml:math> quantification that are free from <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics> <mml:mrow><mml:msubsup><mml:mi>B</mml:mi> <mml:mn>1</mml:mn> <mml:mo>+</mml:mo></mml:msubsup> </mml:mrow> <mml:annotation>$$ {B}_1^{+} $$</mml:annotation></mml:semantics> </mml:math> bias.

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Publication Details

Journal
Magnetic Resonance in Medicine
Published
2025-03-17
DOI
https://doi.org/10.1002/mrm.30493
Citations
1
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
1.36

Funders

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article

Simultaneous 3D quantitative magnetization transfer imaging and susceptibility mapping

Hyungseok Jang, Nian Wang, Fang Liu, Hong‐Hsi Lee et al.
1 citations
Magnetic Resonance in Medicine
Advanced MRI Techniques and Applications
1.36
article

Simultaneous 3D quantitative magnetization transfer imaging and susceptibility mapping

Hyungseok Jang, Nian Wang, Fang Liu, Hong‐Hsi Lee, Jason Stockmann, Kwok‐Shing Chan, Albert Jang, Azma Mareyam, Susie Y. Huang
article en
1 citations

Abstract

A unified acquisition and modeling strategy based on an analytical signal model that fully leverages both the magnitude and phase of the acquired signals was demonstrated and validated for simultaneous MT, susceptibility and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics> <mml:mrow><mml:msubsup><mml:mi>T</mml:mi> <mml:mn>2</mml:mn> <mml:mo>*</mml:mo></mml:msubsup> </mml:mrow> <mml:annotation>$$ {T}_2^{\ast } $$</mml:annotation></mml:semantics> </mml:math> quantification that are free from <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics> <mml:mrow><mml:msubsup><mml:mi>B</mml:mi> <mml:mn>1</mml:mn> <mml:mo>+</mml:mo></mml:msubsup> </mml:mrow> <mml:annotation>$$ {B}_1^{+} $$</mml:annotation></mml:semantics> </mml:math> bias.

Magnetic Resonance in MedicineVol. 94(2)
Harvard University (US), Massachusetts General Hospital (US), Athinoula A. Martinos Center for Biomedical Imaging (US), University of California, Davis (US), The University of Texas Southwestern Medical Center (US)
ZonMw, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institute of Biomedical Imaging and Bioengineering
Openalex Percentile: Top 23%
Advanced MRI Techniques and Applications
1.36
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Simultaneous <scp>3D</scp> quantitative magnetization transfer imaging and susceptibility mapping — Hyungseok Jang, Nian Wang, et al. · Magnetic Resonance in Medicine (2025) | TGRS Research Map | TGRS