A deep learning algorithm that creates full-dose MR images from low-dose scans could reduce the level of gadolinium needed for high-quality imaging
Read article: Artificial intelligence helps reduce gadolinium dose in MR imaging
Machine learning techniques can be used to determine foetal measurements, relieving the burden on obstetricians
Read article: Machine learning identifies foetal size from ultrasound images
Using PET and MRI to predict recurrence probability in glioblastoma patients could allow increased radiotherapy dose delivery to high-risk tumour regions
Read article: Multi-modality imaging predicts tumour recurrence
The MetaboliQs consortium will combine quantum sensing and medical imaging for precision diagnostics and personalized treatment of cardiovascular diseases
Read article: MetaboliQs project targets breakthrough in cardiac metabolic MRI
PET/CT excels in clinical oncology while PET/MRI is set to shake up tumour biology imaging
Read article: Live Barcelona event shows hybrid imaging’s vast potential
A model that analyses PET and MRI texture features to predict lung metastases has won the 2018 PMB citations prize
Read article: Radiomics-based metastases prediction model wins journal prize
MRI scans reveal volume changes in the brain tissues of long-term visitors to the International Space Station
Read article: MRI reveals how space travel alters the brain
Combining three imaging technologies can increase the efficiency of early skin cancer diagnosis
Read article: Three-in-one approach detects early skin cancers
New technology is the first to directly detect Gram-negative bacteria in real time at the bedside
Read article: Fluorescent peptide probe tracks lung infections
A trimodal platform tracks the distribution and viability of transplanted pancreatic islets using MR, fluorescence and bioluminescence imaging
Read article: Trimodal imaging platform tracks implanted pancreatic islets
