This paper describes a new algorithm for hyperspectral image unmixing. Most unmixing
algorithms proposed in the literature do not take into account the possible spatial …

Mainly due to the limited spatial resolution of the data acquisition devices, hyperspectral
image pixels generally result from the mixture of several components that are present in the …

The interaction of hafnium oxide (HfO2) nanoparticles (NPs) with X-ray and mid-infrared
radiation was investigated to assess the potential as a multifunctional diagnostic probe for X …

Quantitative material decomposition of multiple mixed, or spatially coincident, contrast agent
(gadolinium and iodine) and tissue (calcium and water) compositions is demonstrated using …

Purpose Advances in photon‐counting detectors have enabled quantitative material
decomposition using multi‐energy or spectral computed tomography (CT). Supervised …

This paper presents a comparative study of three different types of estimators used for
supervised linear unmixing of two MEx/OMEGA hyperspectral cubes. The algorithms take …

This paper studies a new Bayesian algorithm for the unmixing of hyperspectral images. The
proposed Bayesian algorithm is based on the well-known linear mixing model (LMM) …

Photon-counting detectors and nanoparticle contrast agents can potentially enable
molecular imaging and material decomposition in computed tomography (CT). Material …

NOVEL NANOPARTICLE IMAGING PROBES FOR IMMUNOTARGETING CANCER CELLS
AND MAXIMIZING X-RAY CONTRAST IN COMPUTED TOMOGRAPHY A Disser Page 1 …

In this dissertation the problem of semi-supervised spectral unmixing is studied. We describe
a framework of Bayesian techniques that take into account the special characteristics of …