This paper reviews state-of-the-art research solutions across the spectrum of medical
imaging informatics, discusses clinical translation, and provides future directions for …

Quantitative magnetic resonance imaging (qMRI) goes beyond conventional MRI, which
aims primarily at local image contrast. It provides specific physical parameters related to the …

Image reconstruction is essential for imaging applications across the physical and life
sciences, including optical and radar systems, magnetic resonance imaging, X-ray …

In vivo imaging, which enables us to peer deeply within living subjects, is producing
tremendous opportunities both for clinical diagnostics and as a research tool. Contrast …

Magnetic resonance imaging and spectroscopic techniques are widely used in humans both
for clinical diagnostic applications and in basic research areas such as cognitive …

This paper presents a deep learning method for faster magnetic resonance imaging (MRI)
by reducing k-space data with sub-Nyquist sampling strategies and provides a rationale for …

Image-guided treatment of cancer enables physicians to localize and treat tumors with great
precision. Here, we present in vivo results showing that an emerging imaging modality …

Malignant tumors shed DNA into the circulation. The transient half-life of circulating tumor
DNA (ctDNA) may afford the opportunity to diagnose, monitor recurrence, and evaluate …

This first chapter formulates the objectives of compressive sensing. It introduces the
standard compressive problem studied throughout the book and reveals its ubiquity in many …

Magnetic resonance is an exceptionally powerful and versatile measurement technique. The
basic structure of a magnetic resonance experiment has remained largely unchanged for …