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
- Haibo Zhao (ORCID: https://orcid.org/0000-0002-2693-4499)
- Li Guo (ORCID: https://orcid.org/0000-0002-9723-3294)
- Hua Guo (ORCID: https://orcid.org/0000-0001-7890-6193)
- Wen Zhong
- Mingyong Gao (ORCID: https://orcid.org/0000-0002-4563-1653)
- Jian Lyu (ORCID: https://orcid.org/0000-0001-6518-622X)
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