Measurements of scattered light, which depend on mechanical properties, could be used to characterize a tumour's metastatic potential and therapy response
Read article: Brillouin scattering reveals tumour dynamics
Bacteria-derived, self-adjusting contrast agents provide opportunities for more sensitive MRI diagnostics
Read article: Gas vesicles provide new opportunities for MRI
Using optical coherence micro-elastography to visualize tumour margins in breast-conserving surgery could help reduce re-excision rates
Read article: Optical imaging checks tumour margins during breast cancer surgery
Using machine learning to analyse fMRI data reveals new information about the cellular architecture of the human brain
Read article: Machine learning provides insight into the human brain
A round-up of some recent international patent applications in medical imaging
Read article: Innovation: patent applications review
A fully-automatic deep-learning algorithm can estimate the gestational age of premature infants via smartphone lens imaging
Read article: Deep-learning algorithm estimates gestational age from smartphone images
Two new approaches to creating 3D X-ray images could improve disease screening and allow imaging of delicate biological samples
Read article: 3D X-ray techniques can enhance medical imaging
Combining three-compartment image analysis of breast masses with mammography radiomics could significantly reduce unnecessary breast biopsies
Read article: Image analysis technique may reduce unnecessary breast biopsies
Super-resolution digital breast phantoms generated from patient data enable accurate simulations of new imaging systems
Read article: Machine learning algorithms generate realistic digital breast phantoms
Steven Jackson explains the principles behind magnetic resonance imaging
Read article: How does MRI work?
