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Three-Dimensional Diffusion-Weighted Multi-Slab MRI with Slice Profile Compensation Using Deep Energy Model
Conference proceeding

Three-Dimensional Diffusion-Weighted Multi-Slab MRI with Slice Profile Compensation Using Deep Energy Model

Reza Ghorbani, Jyothi Rikhab Chand, Chu-Yu Lee, Mathews Jacob and Merry Mani
Proceedings (International Symposium on Biomedical Imaging), pp.1-4
04/14/2025
DOI: 10.1109/ISBI60581.2025.10981200
url
https://arxiv.org/pdf/2501.17152View
Open Access

Abstract

Three-dimensional (3D) multi-slab acquisition is a technique frequently employed in high-resolution diffusion-weighted MRI in order to achieve the best signal-to-noise ratio (SNR) efficiency. However, this technique is limited by slab bound-ary artifacts that cause intensity fluctuations and aliasing between slabs which reduces the accuracy of anatomical imaging. Addressing this issue is crucial for advancing diffusion MRI quality and making high-resolution imaging more feasible for clinical and research applications. In this work, we propose a regularized slab profile encoding (PEN) method within a Plug-and-Play ADMM framework, incorporating multi-scale energy (MuSE) regularization to effectively improve the slab combined reconstruction. Experimental results demonstrate that the proposed method significantly improves image quality compared to non-regularized and TV-regularized PEN approaches. The regularized PEN framework provides a more robust and efficient solution for high-resolution 3D diffusion MRI, potentially enabling clearer, more reliable anatomical imaging across various applications.
 Magnetic Resonance Imaging Bound-ary Artifact Encoding High-resolution imaging Image quality Image reconstruction Multi-Scale Energy Model Multislab 3D Diffusion Imaging Plug-and-Play ADMM Radio frequency Signal to noise ratio Slabs Solid modeling Three-dimensional displays

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