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Abstract #4198

Model-based joint reconstruction for multishot diffusion kurtosis imaging

Jian Lyu1, Wen Zhong2, Hai Zhao3, Mingyong Gao3, Hua Guo2, and Li Guo4
1Department of the Radiation Oncology Physics, The First People’s Hospital of Foshan, Foshan, China, 2Center for Biomedical Imaging Research, School of Biomedical Engineering, Tsinghua University, Beijing, China, 3Department of Radiology, The First People’s Hospital of Foshan, Foshan, China, 4Research Institute of Translational Medicine, Department of Radiology, The First People’s Hospital of Foshan, Foshan, China

Synopsis

Keywords: Diffusion Reconstruction, DWI/DTI/DKI, 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.

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