Radiomics is a rapidly evolving field of research concerned with the extraction of quantitative
metrics—the so-called radiomic features—within medical images. Radiomic features …

The purpose of this research was to implement a deep learning network to overcome two of
the major bottlenecks in improved image reconstruction for clinical positron emission …

Purpose To investigate the feasibility of accelerating prostate diffusion-weighted imaging (DWI)
by reducing the number of acquired averages and denoising the resulting image using a …

Our purpose was to determine whether ComBat harmonization improves 18 F-FDG PET
radiomics-based tissue classification in pooled PET/MRI and PET/CT datasets. Methods: Two …

Purpose This work describes PETSTEP (PET Simulator of Tracers via Emission Projection):
a faster and more accessible alternative to Monte Carlo (MC) simulation generating realistic …

Purpose: To develop and evaluate a fast and simple tool called dpetstep (Dynamic PET
Simulator of Tracers via Emission Projection), for dynamic PET simulations as an alternative to …

Background The rising global cancer burden has led to an increasing demand for imaging
tests such as [ 18 F]fluorodeoxyglucose ([ 18 F]FDG)-PET-CT. To aid imaging specialists in …

Lung cancer is the leading cause of cancer death worldwide, with lung adenocarcinoma being
the most prevalent form of lung cancer. EGFR positive lung adenocarcinomas have been …

We present a monolithic single-longitudinal-mode laser based on Nd:GdVO_4 and a volume
Bragg grating. The laser at 1066 nm had a bandwidth below 40 MHz at a power of 30 mW. …

Using analytical and Monte Carlo modeling, we explored performance of a lightweight
wearable helmet-shaped brain positron emission tomography (PET), or BET camera, based on …