Over the past two decades, medical imaging and diagnostic techniques have gained
immense attraction due to the rapid development in computing, internet, data storage and …

Nuclear magnetic resonance (NMR) spectroscopy is an important analytical tool in
chemistry, biology, and life science, but it suffers from relatively low sensitivity and long …

Recent theoretical results on low-rank matrix reconstruction have inspired significant interest
in low-rank modeling of MRI images. Existing approaches have focused on higher …

Nuclear magnetic resonance (NMR) spectroscopy serves as an indispensable tool in
chemistry and biology but often suffers from long experimental times. We present a proof‐of …

Purpose To accelerate spectroscopic imaging using sparse sampling of‐space and
subspace (or low‐rank) modeling to enable high‐resolution metabolic imaging with good …

Accelerated multi‐dimensional NMR spectroscopy is a prerequisite for high‐throughput
applications, studying short‐lived molecular systems and monitoring chemical reactions in …

Purpose To develop data acquisition and image reconstruction methods to enable high‐
resolution 1H MR spectroscopic imaging (MRSI) of the brain, using the recently proposed …

Most of the existing medical image denoising methods focus on estimating either the image
or the residual noise. Moreover, they are usually designed for one specific noise with a …

Purpose Multi‐exponential relaxometry is a powerful tool for characterizing tissue, but
generally requires high image signal‐to‐noise ratio (SNR). This work evaluates the use of …

Many signals are modeled as a superposition of exponential functions in spectroscopy of
chemistry, biology, and medical imaging. This paper studies the problem of recovering …