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

  


Authors: Kang, M.; Otazo, R.; Behr, G.; Kee, Y.
Article Title: 5D image reconstruction exploiting space-motion-echo sparsity for accelerated free-breathing quantitative liver MRI
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), R2∗, 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, R2∗, 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, R2∗, and QSM. © 2025 Elsevier B.V.
Keywords: magnetic resonance imaging; image reconstruction; mapping; compressed sensing; image compression; free breathing; liver mri; image denoising; k-space; motion capture; 3d multi-echo non-cartesian mri; 5d motion-resolved reconstruction; free-breathing quantitative liver mri; k-space undersampling; discrete wavelet transforms; gradient echo imaging; non-cartesian; under-sampling
Journal Title: Medical Image Analysis
Volume: 102
ISSN: 1361-8415
Publisher: Elsevier Science, Inc.  
Date Published: 2025-05-01
Start Page: 103532
Language: English
DOI: 10.1016/j.media.2025.103532
PROVIDER: scopus
PUBMED: 40132368
DOI/URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-105000540697&doi=10.1016%2fj.media.2025.103532&partnerID=40&md5=52bfc74aef9cc047c4dbe3406b622356
Notes: The MSK Cancer Center Support Grant (P30 CA008748) is acknowledge in the PDF -- Corresponding authors is MSK author: Youngwook Kee -- Source: Scopus
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MSK Authors
  1. Gerald Gideon Behr
    29 Behr
  2. Jose Ricardo Otazo Torres
    47 Otazo Torres
  3. Youngwook Kee
    4 Kee
  4. Mungsoo Kang
    3 Kang
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