New Imaging Frontiers in Cardiology: Fast and Quantitative Maps from Raw Data.

Background: Among the novelties in the field of cardiovascular imaging, the construction of quantitative maps in a fast and efficient way is one of the most interesting aspects of the clinical research. Quantitative parametric maps are typically obtained by post processing dynamic images, that is, sets of images usually acquired in different temporal intervals, where several images with different contrasts are obtained. Magnetic resonance imaging, and emission tomography (positron emission and single photon emission) are the imaging techniques best suited for the formation of quantitative maps.

Accelerating 4D flow MRI by exploiting low-rank matrix structure and hadamard sparsity.

Purpose: To develop accelerated 4D flow MRI by exploiting low-rank matrix structure and Hadamard sparsity.

Theory And Methods: 4D flow MRI data can be represented as the sum of a low-rank and a sparse component. To optimize the sparse representation of the data, it is proposed to incorporate a Hadamard transform of the velocity-encoding segments.

A novel 3D Cartesian random sampling strategy for Compressive Sensing Magnetic Resonance Imaging.

In this work we propose a novel acquisition strategy for accelerated 3D Compressive Sensing Magnetic Resonance Imaging (CS-MRI). This strategy is based on a 3D cartesian sampling with random switching of the frequency encoding direction with other K-space directions. Two 3D sampling strategies are presented.

Technological Innovations in Magnetic Resonance for Early Detection of Cardiovascular Diseases.

Most recent technical innovations in cardiovascular MR imaging (CMRI) are presented in this review. They include hardware and software developments, and novelties in parametric mapping. All these recent improvements lead to high spatial and temporal resolution and quantitative information on the heart structure and function.

Variable density randomized stack of spirals (VDR-SoS) for compressive sensing MRI.

Purpose: To develop a 3D sampling strategy based on a stack of variable density spirals for compressive sensing MRI.

Methods: A random sampling pattern was obtained by rotating each spiral by a random angle and by delaying for few time steps the gradient waveforms of the different interleaves. A three-dimensional (3D) variable sampling density was obtained by designing different variable density spirals for each slice encoding.

CREPE: mathematical model for crosstalking of endothelial cells and hepatocyte metabolism.

The liver shows a close coexistence between endothelial cells and hepatocytes (HepG2). Endothelial cells' main purpose is to protect (HepG2) from blood vessel shear stress, acting as a barrier, but experimental evidence suggests that they could also play a role in regulating (HepG2) glucose metabolism. A well-known singular effect in hepatocyte-endothelial co-cultures is the reduction of glucose consumption respect to (HepG2) in single culture.