Read article: Novel PET tracer sheds light on plaque formation in Alzheimer’s disease
A new PET tracer identifies brain activity involved in the development of amyloid plaque in people with Alzheimer's and other neurodegenerative diseases
Read article: PET imaging tracks ingested microplastics in mice
Researchers trace the distribution and clearance of radiolabelled microplastics in mice, to help understand how microplastics interact with the body
Read article: Simultaneous PET–MR imaging could improve the diagnosis of heart disease
Motion-corrected, MR-guided PET reconstruction provides more accurate cardiac PET images with the potential to enhance diagnostic imaging
Read article: Brain images differentiate between different types of dementia
In vivo radioisotope imaging helps discriminate patients with dementia with Lewy bodies from those with Alzheimer’s or Parkinson’s disease
Read article: Neural networks increase the accuracy of monolithic PET detectors
Artificial neural networks enable high-accuracy positioning of gamma interactions in monolithic PET detectors
Read article: CZT detector technology: ready to shine in next-generation medical imaging systems
From proton-based cancer therapy to small-animal PET scanners, US technology company H3D is seeking out growth opportunities in the medical imaging market
Read article: Prompt gammas enable sub-millimetre-resolution, multi-isotope PET
Detecting the prompt gamma photons emitted by many PET isotopes enables quantitative, high-resolution imaging of isotopes with large positron ranges
Read article: Deep learning enables safer heart scans with lower radiotracer dose
A de-noising model enables significant reduction of radiotracer dose in cardiac PET scans without lowering diagnostic accuracy
Read article: Image-processing technique tracks tau tangles as Alzheimer’s disease develops
Novel automated image-sampling method could guide the development of improved therapies for the most common form of dementia
Read article: Deep-learning model enables rapid lymphoma detection in PET/CT images
A convolutional neural network model that detects lymphoma lesions in PET/CT scans could enable faster diagnosis and monitoring of treatment efficacy
