Regularized Joint Reconstruction and Slab Combination for Accelerated Three-Dimensional Multi-Slab Diffusion-Weighted Imaging Using Multi-Scale Energy Models.
Overview
- Department of Electrical and Computer Engineering University of Virginia Charlottesville Virginia USA
- Department of Radiology University of Iowa Iowa City Iowa USA
- Department of Radiology and Medical Imaging, and Department of Biomedical Engineering University of Virginia Charlottesville Virginia USA
Abstract
Purpose: To jointly reconstruct high‐resolution diffusion‐weighted volumes and eliminate slab‐boundary artifacts while preserving fine anatomical detail from undersampled 3D multi‐slab k‐space acquisitions.
Methods: A bilinear forward model was formulated to describe the 3D multi‐slab acquisition, treating the image volume and slab excitation profiles as joint variables. A maximum a posteriori framework optimized a cost function with a Gaussian data‐fidelity term, a CNN‐based deep energy prior guiding accelerated recovery, and a quadratic regularization term anchoring the slab profiles to an initial estimate. The energy‐based prior models the negative log distribution of clean diffusion‐weighted images, while its gradient guides the accelerated reconstruction toward the artifact‐free distribution. The resulting non‐convex problem was solved via alternating minimization, where the image volume was updated through a majorize–minimize scheme with conjugate gradient optimization, and slab profiles were estimated through regularized least‐squares optimization.
Results: The proposed Energy‐based Profile Encoding (EPEN) framework substantially reduced slab‐boundary artifacts compared with conventional slab‐boundary correction approaches. Improved structural consistency and contrast preservation were achieved across multiple acceleration factors and slab configurations.
Conclusion: EPEN enables robust joint 3D multi‐slab diffusion MRI reconstruction with slab profile correction within an alternating optimization framework using deep energy‐based image priors.
Reproduced under the paper's license (CC BY), from the paper cited above.
Code
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Data
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Data Availability Statement
The reconstruction code, pretrained energy‐model weights, and a representative example dataset will be available upon reasonable request to the corresponding author.
Reproduced under the paper's license (CC BY), from the paper cited above.
Versions
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Version 2, 28 September 2026
- Publisher: — → Wiley
Version 1, 27 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 5 authors, 3 keywords, 9 MeSH terms, 2 funders, 23 references.
Cite
This paper
Ghorbani, R., Rikhab Chand, J., Lee, C., Jacob, M., & Mani, M. (2026). Regularized Joint Reconstruction and Slab Combination for Accelerated Three-Dimensional Multi-Slab Diffusion-Weighted Imaging Using Multi-Scale Energy Models. Magnetic resonance in medicine, 96(5), 2321-2335. https://
BibTeX
@article{ghorbani2026reg
author = {Ghorbani, Reza and Rikhab Chand, Jyothi and Lee, Chu‐Yu and Jacob, Mathews and Mani, Merry},
title = {{Regularized Joint Reconstruction and Slab Combination for Accelerated Three-Dimensional Multi-Slab Diffusion-Weighted Imaging Using Multi-Scale Energy Models}},
journal = {Magnetic resonance in medicine},
year = {2026},
month = jul,
volume = {96},
number = {5},
pages = {2321--2335},
publisher = {Wiley},
issn = {0740-3194},
doi = {10.1002/
url = {https://
pmid = {42521420},
pmcid = {PMC13527291}
}
RIS
TY - JOUR
AU - Ghorbani, Reza
AU - Rikhab Chand, Jyothi
AU - Lee, Chu‐Yu
AU - Jacob, Mathews
AU - Mani, Merry
TI - Regularized Joint Reconstruction and Slab Combination for Accelerated Three-Dimensional Multi-Slab Diffusion-Weighted Imaging Using Multi-Scale Energy Models
T2 - Magnetic resonance in medicine
J2 - Magn Reson Med
PY - 2026
DA - 2026/
VL - 96
IS - 5
SP - 2321
EP - 2335
SN - 0740-3194
PB - Wiley
DO - 10.1002/
UR - https://
LA - en
ER -
CSL-JSON
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