The Lancet

Deep-learning-based reconstruction of undersampled MRI to reduce scan times: a multicentre, retrospective, cohort study

aDivision for Computational Neuroimaging, Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany bDepartment of Neuroradiology, Heidelberg University Hospital, Heidelberg, ...
IEEE

A Tutorial on MRI Reconstruction: From Modern Methods to Clinical Implications

Abstract: MRI is an indispensable clinical tool, offering a rich variety of tissue contrasts to support broad diagnostic and research applications. Protocols can incorporate multiple structural, ...
GitHub

Motion Correction and Volumetric Image Reconstruction of 2D Ultra-fast MRI

NiftyMIC is a Python-based open-source toolkit for research developed within the GIFT-Surg project to reconstruct an isotropic, high-resolution volume from multiple, possibly motion-corrupted, stacks ...
snmjournals.org

Facial Anonymization and Privacy Concerns in Total-Body PET/CT

Improving the resolution of medical imaging systems and facial recognition algorithms has given rise to concerns about the identifiability of CT, MRI, and PET image data. In any imaging study ...
GitHub

One AI Model for Multi-scenario Reconstructions: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI

This work presents a Physics-Informed Synthetic data learning Framework for fast MRI, called PISF, which is the first to enable generalizable DL for multi-scenario MRI reconstruction using solely one ...