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5D image reconstruction exploiting space-motion-echo sparsity for accelerated free-breathing quantitative liver MRI.

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Title: 5D image reconstruction exploiting space-motion-echo sparsity for accelerated free-breathing quantitative liver MRI.
Authors: Kang, MungSoo1 (AUTHOR), Otazo, Ricardo1,2 (AUTHOR), Behr, Gerald2 (AUTHOR), Kee, Youngwook1 (AUTHOR)
Source: Medical Image Analysis. May2025, Vol. 102, pN.PAG-N.PAG. 1p.
Subjects: Image reconstruction, Discrete wavelet transforms, Three-dimensional imaging, Magnetic resonance imaging, Liver
Abstract: Recent advances in 3D non-Cartesian multi-echo gradient-echo (mGRE) imaging and compressed sensing (CS)-based 4D (3D image space + 1D respiratory motion) motion-resolved image reconstruction, which applies temporal total variation to the respiratory motion dimension, have enabled free-breathing liver tissue MR parameter mapping. This technology now allows for robust reconstruction of high-resolution proton density fat fraction (PDFF), R 2 ∗ , and quantitative susceptibility mapping (QSM), previously unattainable with conventional Cartesian mGRE imaging. However, long scan times remain a persistent challenge in free-breathing 3D non-Cartesian mGRE imaging. Recognizing that the underlying dimension of the imaging data is essentially 5D (4D + 1D echo signal evolution), we propose a CS-based 5D motion-resolved mGRE image reconstruction method to further accelerate the acquisition. Our approach integrates discrete wavelet transforms along the echo and spatial dimensions into a CS-based reconstruction model and devises a solution algorithm capable of handling such a 5D complex-valued array. Through phantom and in vivo human subject studies, we evaluated the effectiveness of leveraging unexplored correlations by comparing the proposed 5D reconstruction with the 4D reconstruction (i.e., motion-resolved reconstruction with temporal total variation) across a wide range of acceleration factors. The 5D reconstruction produced more reliable and consistent measurements of PDFF, R 2 ∗ , and QSM compared to the 4D reconstruction. In conclusion, the proposed 5D motion-resolved image reconstruction demonstrates the feasibility of achieving accelerated, reliable, and free-breathing liver mGRE imaging for the measurement of PDFF, R 2 ∗ , and QSM. [ABSTRACT FROM AUTHOR]
Copyright of Medical Image Analysis is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 184435977
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PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: 5D image reconstruction exploiting space-motion-echo sparsity for accelerated free-breathing quantitative liver MRI.
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  Data: <searchLink fieldCode="AR" term="%22Kang%2C+MungSoo%22">Kang, MungSoo</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Otazo%2C+Ricardo%22">Otazo, Ricardo</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Behr%2C+Gerald%22">Behr, Gerald</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kee%2C+Youngwook%22">Kee, Youngwook</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Label: Abstract
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  Data: Recent advances in 3D non-Cartesian multi-echo gradient-echo (mGRE) imaging and compressed sensing (CS)-based 4D (3D image space + 1D respiratory motion) motion-resolved image reconstruction, which applies temporal total variation to the respiratory motion dimension, have enabled free-breathing liver tissue MR parameter mapping. This technology now allows for robust reconstruction of high-resolution proton density fat fraction (PDFF), R 2 ∗ , and quantitative susceptibility mapping (QSM), previously unattainable with conventional Cartesian mGRE imaging. However, long scan times remain a persistent challenge in free-breathing 3D non-Cartesian mGRE imaging. Recognizing that the underlying dimension of the imaging data is essentially 5D (4D + 1D echo signal evolution), we propose a CS-based 5D motion-resolved mGRE image reconstruction method to further accelerate the acquisition. Our approach integrates discrete wavelet transforms along the echo and spatial dimensions into a CS-based reconstruction model and devises a solution algorithm capable of handling such a 5D complex-valued array. Through phantom and in vivo human subject studies, we evaluated the effectiveness of leveraging unexplored correlations by comparing the proposed 5D reconstruction with the 4D reconstruction (i.e., motion-resolved reconstruction with temporal total variation) across a wide range of acceleration factors. The 5D reconstruction produced more reliable and consistent measurements of PDFF, R 2 ∗ , and QSM compared to the 4D reconstruction. In conclusion, the proposed 5D motion-resolved image reconstruction demonstrates the feasibility of achieving accelerated, reliable, and free-breathing liver mGRE imaging for the measurement of PDFF, R 2 ∗ , and QSM. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Medical Image Analysis is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.media.2025.103532
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      – Code: eng
        Text: English
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      – SubjectFull: Image reconstruction
        Type: general
      – SubjectFull: Discrete wavelet transforms
        Type: general
      – SubjectFull: Three-dimensional imaging
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      – SubjectFull: Magnetic resonance imaging
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      – SubjectFull: Liver
        Type: general
    Titles:
      – TitleFull: 5D image reconstruction exploiting space-motion-echo sparsity for accelerated free-breathing quantitative liver MRI.
        Type: main
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            NameFull: Kang, MungSoo
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            NameFull: Otazo, Ricardo
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            NameFull: Behr, Gerald
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            NameFull: Kee, Youngwook
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            – D: 01
              M: 05
              Text: May2025
              Type: published
              Y: 2025
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              Value: 102
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            – TitleFull: Medical Image Analysis
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