Model-based joint reconstruction for multishot diffusion kurtosis imaging

Motivation: The acquisition time of multishot DKI is long due to the use of multiple shots, b-values, and diffusion directions, hindering its clinical application. Goal(s): To develop a reconstruction method for accelerating multishot high-resolution DKI. Approach: DKI signal decay model was exploited to construct a model-based reconstruction framework, and total variation constraint on DKI tensors was adopted to reduce the effect of noise. Results: Preliminarily in-vivo experiment validated that the proposed method can significantly reduce noise in the reconstructed images and DKI parameters at under-sampled factor of 4. Impact: Given the advantages of the proposed method in experiments with high under-sampled factor, it has clinical potential for fast high-resolution DKI acquisitions.

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/10.58530/2025/4198
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Model-based joint reconstruction for multishot diffusion kurtosis imaging

Haibo Zhao, Li Guo, Hua Guo, Wen Zhong et al.
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

Model-based joint reconstruction for multishot diffusion kurtosis imaging

Haibo Zhao, Li Guo, Hua Guo, Wen Zhong, Mingyong Gao, Jian Lyu
article en

Abstract

Motivation: The acquisition time of multishot DKI is long due to the use of multiple shots, b-values, and diffusion directions, hindering its clinical application. Goal(s): To develop a reconstruction method for accelerating multishot high-resolution DKI. Approach: DKI signal decay model was exploited to construct a model-based reconstruction framework, and total variation constraint on DKI tensors was adopted to reduce the effect of noise. Results: Preliminarily in-vivo experiment validated that the proposed method can significantly reduce noise in the reconstructed images and DKI parameters at under-sampled factor of 4. Impact: Given the advantages of the proposed method in experiments with high under-sampled factor, it has clinical potential for fast high-resolution DKI acquisitions.

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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Model-based joint reconstruction for multishot diffusion kurtosis imaging — Haibo Zhao, Li Guo, et al. · 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 (2025) | TGRS Research Map | TGRS