What type of study is this?

This is a Experimental Study study (also classified as: Quantitative Study).

September 17, 2025

Model-based joint reconstruction for multishot diffusion kurtosis imaging

Key Points

The proposed method can significantly reduce noise in reconstructed images at an under-sampled factor of 4.
In-vivo experiments validated enhanced DKI parameters and images improved by the model-based reconstruction.
Utilizing a DKI signal decay model, the approach effectively accelerates multishot high-resolution imaging.
Clinical potential suggests faster DKI acquisitions may become feasible using this noise-reduction technique.

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.

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