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Radiomics is an emerging and exciting field of study involving the extraction of many quantitative features from radiographic images. Positron emission tomography (PET) images are used in cancer diagnosis and staging. Utilizing radiomics on PET images can better quantify the spatial relationships between image voxels and generate more consistent and accurate results for diagnosis, prognosis, treatment, etc. This chapter gives the general steps a researcher would take to extract PET radiomic features from medical images and properly develop models to implement.
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http://dx.doi.org/10.1007/978-1-0716-3499-8_23 | DOI Listing |
J Affect Disord
September 2025
Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA; Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA; Department of Neurology, Yale University, New Haven, CT, USA. Electronic address:
Purpose: Dopamine is a neurotransmitter implicated in functions ranging from motor control to cognitive performance. In humans, dopaminergic markers have been associated with seasonal symptomatic fluctuations. Here we investigated potential seasonal variations in dopamine D2/D3 receptor availability in healthy adults using [C]PHNO positron emission tomography (PET) imaging.
View Article and Find Full Text PDFBiomed Phys Eng Express
September 2025
Siemens Healthineers AG, 810 Innovation Dr, Knoxville, Tennessee, 37932-2562, UNITED STATES.
Achieving high-quality PET imaging while minimizing scan time and patient radiation dose presents significant challenges, particularly in the absence of CT-based attenuation maps. Joint reconstruction algorithms, such as MLAA and MLACF, partially address these challenges but often result in noisy and less reliable images. Denoising these images is critical for enhancing diagnostic accuracy.
View Article and Find Full Text PDFPhys Med Biol
September 2025
BioMaps, Université Paris-Saclay, CNRS, Inserm, SHFJ, CEA, 4 Place du général Leclerc, Orsay, Île-de-France, 91401, FRANCE.
Deep learning has shown great promise for improving medical image reconstruction, including PET. However, concerns remain about the stability and robustness of these methods, especially when trained on limited data. This work aims to explore the use of the Plug-and-Play (PnP) framework in PET reconstruction to address these concerns.
View Article and Find Full Text PDFPhys Med Biol
September 2025
Institute for Instrumentation in Molecular Imaging (i3M), Consejo Superior de Investigaciones Cientificas, Camino de Vera s/n, Valencia, Valencia, 46022, SPAIN.
A key challenge in PET systems is collecting large amount of data with the most accurate information-time, energy, and position-to produce high-resolution images while limiting the number of channels to reduce costs and improve data collection efficiency. The new Ultra-High-performance Brain (UHB) scanner under development aims to tackle this issue, using a semi-monolithic detector that combines pixelated arrays and monolithic designs, along with signal multiplexing techniques. Approach.
View Article and Find Full Text PDFNucl Med Biol
September 2025
The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA. Electronic address:
Background: Positron-emission tomography (PET) imaging of the complement system could advance understanding of the innate immune system in central nervous system (CNS) diseases and development of new drugs. The goal of this study was to develop a PET radiotracer targeting the C3a receptor (C3aR) of the complement system.
Methods: C3aR radiotracer [F]1 was synthesized in one step.