Accurate quantification in PET and SPECT requires correction for a number of physical
factors, such as photon attenuation, Compton scattering and random coincidences (in PET) …

This is a review of recent mathematical and computational advances in optical tomography.
We discuss the physical foundations of forward models for light propagation on microscopic …

Purpose Image quality of positron emission tomography (PET) is limited by various physical
degradation factors. Our study aims to perform PET image denoising by utilizing prior …

PET image reconstruction is challenging due to the ill-poseness of the inverse problem and
limited number of detected photons. Recently, the deep neural networks have been widely …

In this paper, the authors review the field of resolution modeling in positron emission
tomography (PET) image reconstruction, also referred to as point‐spread‐function modeling …

We review the current state-of-the-art of diffuse optical imaging, which is an emerging
technique for functional imaging of biological tissue. It involves generating images using …

A synergy of positron emission tomography (PET)/computed tomography (CT) scanners is
the use of the CT data for x-ray-based attenuation correction of the PET emission data …

Reliable attenuation correction methods for quantitative emission CT (ECT) require accurate
delineation of the body contour and often necessitate knowledge of internal anatomic …

Deep learning has attracted growing interest for application to medical imaging, such as
positron emission tomography (PET), due to its excellent performance. Convolutional neural …

PET is a medical imaging modality with proven clinical value for disease diagnosis and
treatment monitoring. The integration of PET and CT on modern scanners provides a …