Simultaneous multislice imaging (SMS) using parallel image reconstruction has rapidly
advanced to become a major imaging technique. The primary benefit is an acceleration in …

Abstract Magnetic Resonance Imaging (MRI) is an essential technology in modern
medicine. However, one of its main drawbacks is the long scan time needed to localize the …

Purpose To develop an improved k‐space reconstruction method using scan‐specific deep
learning that is trained on autocalibration signal (ACS) data. Theory Robust artificial‐neural …

Parallel imaging in the form of multiband radiofrequency excitation, together with reduced k‐
space coverage in the phase‐encode direction, was applied to human gradient echo …

Magnetic resonance imaging (MRI) is increasingly being used in the radiotherapy workflow
because of its superior soft tissue contrast and high flexibility in contrast. In addition to …

In this work a theoretical description for practical quantitative estimation of the noise
enhancement in generalized autocalibrating partially parallel acquisitions (GRAPPA) …

Purpose Whole-brain high-resolution quantitative imaging is extremely encoding intensive,
and its rapid and robust acquisition remains a challenge. Here we present a 3D MR …

The class of autocalibrating “data‐driven” parallel imaging (PI) methods has gained
attention in recent years due to its ability to achieve high quality reconstructions even under …

We present an ultrahigh resolution in vivo human brain magnetic resonance imaging (MRI)
dataset. It consists of T 1-weighted whole brain anatomical data acquired at 7 Tesla with a …

While pulmonary embolism (PE) causes approximately 100 000–180 000 deaths per year in
the United States, mortality is restricted to patients who have massive or submassive PEs …