Motion robust joint k-q reconstruction for accelerated multi-band diffusion MRI

Motivation: Joint k-q reconstruction accelerates dMRI by exploiting shared information between diffusion directions/b-shells. However, subject motion causes artifacts in reconstruction due to inter-volume geometric inconsistency. Goal(s): To develop a motion-robust and computationally efficient joint k-q reconstruction to accelerate dMRI acquisition. Approach: We proposed a motion-robust joint k-q reconstruction method for accelerated multi-band dMRI with a multi-shell k-q model. Rigid motion parameters, motion induced phase errors, dMRI images were jointly estimated in iterative reconstruction. Variable-splitting approach was utilized to mitigate computational burden. Results: Simulation and in vivo results demonstrate that our proposed method enables robust joint k-q reconstruction in the presence of inter-volume subject motion. Impact: The developed method addresses the primary challenge in joint k-q reconstruction - subject motion, enabling robust acceleration of dMRI. This advancement facilitates translation of advanced dMRI methods to less cooperative subjects, expanding accessibility and utility of advanced dMRI in clinical setting.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/0693
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Motion robust joint k-q reconstruction for accelerated multi-band diffusion MRI

Xinyu Ye, Karla L. Miller, Wenchuan Wu
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Advanced Neuroimaging Techniques and Applications
article

Motion robust joint k-q reconstruction for accelerated multi-band diffusion MRI

Xinyu Ye, Karla L. Miller, Wenchuan Wu
article en

Abstract

Motivation: Joint k-q reconstruction accelerates dMRI by exploiting shared information between diffusion directions/b-shells. However, subject motion causes artifacts in reconstruction due to inter-volume geometric inconsistency. Goal(s): To develop a motion-robust and computationally efficient joint k-q reconstruction to accelerate dMRI acquisition. Approach: We proposed a motion-robust joint k-q reconstruction method for accelerated multi-band dMRI with a multi-shell k-q model. Rigid motion parameters, motion induced phase errors, dMRI images were jointly estimated in iterative reconstruction. Variable-splitting approach was utilized to mitigate computational burden. Results: Simulation and in vivo results demonstrate that our proposed method enables robust joint k-q reconstruction in the presence of inter-volume subject motion. Impact: The developed method addresses the primary challenge in joint k-q reconstruction - subject motion, enabling robust acceleration of dMRI. This advancement facilitates translation of advanced dMRI methods to less cooperative subjects, expanding accessibility and utility of advanced dMRI in clinical setting.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 64%
Advanced Neuroimaging Techniques and Applications
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