Magnetic resonance imaging (MRI) provides excellent soft-tissue contrast for clinical
diagnoses and research which underpin many recent breakthroughs in medicine and …

Motion artifacts in magnetic resonance imaging (MRI) have always been a serious issue
because they can affect subsequent diagnosis and treatment. Supervised deep learning …

Purpose Tailored parallel‐transmit (pTx) pulses produce uniform excitation profiles at 7 T,
but are sensitive to head motion. A potential solution is real‐time pulse redesign. A deep …

Despite the unprecedented success of deep learning in various fields, it has been
recognized that clinical diagnosis requires extra caution when applying recent deep …

Background Echo planar imaging (EPI) suffers from Nyquist ghost caused by eddy currents
and other non‐ideal factors. Deep learning has received interest for EPI ghost correction …

Purpose Subject movement during the MR examination is inevitable and causes not only
image artifacts but also deteriorates the homogeneity of the main magnetic field (B 0), which …

Purpose: Multi-echo gradient-echo (ME-GRE) imaging in the spinal cord is susceptible to
breathing-induced B0 field fluctuations due to the proximity of the lungs, leading to ghosting …

This chapter gives an overview of artifacts caused by dynamic B 0 field variations, and how
to correct for the field variations retrospectively in the image reconstruction or image …

We proposed an automatic evaluation model for estimating the degree of motion artifacts in
high-resolution multi-echo gradient echo images for nigrosome-1 visualization in the …

Magnetic resonance imaging (MRI) provides high-resolution images of soft tissues and is an
imaging technique with a high diagnostic value. It can play a role in computer-aided …