We formulate a physics-informed compressed sensing (PICS) method for the reconstruction
of velocity fields from noisy and sparse phase-contrast magnetic resonance signals. The …

Obtaining quantitative, 3D spatially–resolved T 2 distributions (T 2 maps) from magnetic
resonance data is of importance in both medical and porous media applications. Due to the …

After discussing the motivation for and different approaches to ultrafast magnetic resonance
(MR) imaging, this chapter proceeds to describe the first use of MR velocimetry to investigate …

Velocity-encoded MRI is an imaging technique used in different areas to assess flow motion.
Some applications include medical imaging such as cardiovascular blood flow studies, and …

Magnetic resonance imaging is currently experiencing groundbreaking advancements at
high-and low-magnetic field strength extremes. Ultra-high field scanners at strengths of 7 …

Magnetic resonance velocimetry (MRV) is a non-invasive experimental technique widely
used in medicine and engineering to measure the velocity field of a fluid. These …

We derive and implement an algorithm that takes noisy magnetic resonance velocimetry
(MRV) images of Stokes flow and infers the velocity field, the most likely position of the …

Magnetic resonance imaging (MRI) is now ubiquitous as a diagnostic tool in clinical
medicine to the extent that it is recognized by the general public; however, its use in …