Background Artificial intelligence‐based methods have generated substantial interest in
nuclear medicine. An area of significant interest has been the use of deep‐learning (DL) …

The collimator in single photon emission computed tomography (SPECT), is an important
part of the imaging chain. One of the most important collimators that used in research …

The aim of this work was to find an optimal setup for activity determination of 177Lu-based
SPECT/CT imaging reconstructed with 2 commercially available methods (xSPECT Quant …

With regard to the different requirements, various collimators are widely employed within
nuclear medicine systems in order to evaluate the metabolism of organs as well as improve …

Personalized dose-based treatment planning requires accurate and reproducible
noninvasive measurements to ensure safety and effectiveness. Dose estimation using …

Thorium-227 (227 Th)-based α-particle radiopharmaceutical therapies (α-RPTs) are
currently being investigated in several clinical and pre-clinical studies. After administration …

Single-photon emission-computed tomography (SPECT) provides a mechanism to estimate
regional isotope uptake in lesions and at-risk organs after administration of-particle-emitting …

Abstract Purpose Monte Carlo (MC) modelling techniques can assess the quantitative
accuracy of both planar and SPECT Nuclear Medicine images. It is essential to validate the …

Objective SPECT is a powerful tool for diagnosing or staging brain diseases such as
Alzheimer's disease (AD) and Parkinson's disease (PD) but is limited by its inferior …

This study validated a model of the Siemens Symbia T16 dual-head SPECT/CT gamma
camera created using the Monte Carlo program SIMIND for 177 Lu. The validation was done …