Motivation: Conventional 3D T1WI in head and neck MRI has difficulty in obtaining uniform fat suppression images within a feasible examination time. Goal(s): The purpose of this study is to realize a 3D MRI of the head and neck region with uniform fat suppression. Approach: We evaluated the feasibility of high-resolution MRI with uniform fat suppression in the orbit and larynx with 3D 3-point mDixon TSE using Deep Learning constrained Compressed SENSE (CS-AI). Results: The 3D 3-point mDixon TSE with CS-AI was able to provide high-resolution images of the orbit and larynx with robust fat suppression within a feasible scan time. Impact: 3D 3-point mDixon TSE with CS-AI provides high-resolution MRI images with uniform fat suppression. This technique is expected to accurately delineate small lesions and tissue structures in the head and neck region.
Hamatani et al. (Tue,) studied this question.