Methods for Iterative Reconstruction of Medical Images Using Primal-Dual Optimization with Stochastic Dual Variable Updating

Methods for reconstructing images of a subject from data acquired with a medical imaging system, such as a magnetic resonance imaging ("MRI") system, are described. In general, the image reconstructions implement a primal-dual optimization strategy that, in each iteration, stochastically u...

Full description

Saved in:
Bibliographic Details
Main Author Trzasko, Joshua D
Format Patent
LanguageEnglish
Published 25.03.2021
Subjects
DIAGNOSIS
HUMAN NECESSITIES
HYGIENE
IDENTIFICATION
MEASURING
MEASURING ELECTRIC VARIABLES
MEASURING MAGNETIC VARIABLES
MEDICAL OR VETERINARY SCIENCE
PHYSICS
SURGERY
TESTING
Online AccessGet full text

Cover

More Information
Summary:Methods for reconstructing images of a subject from data acquired with a medical imaging system, such as a magnetic resonance imaging ("MRI") system, are described. In general, the image reconstructions implement a primal-dual optimization strategy that, in each iteration, stochastically updates a dual variable.
Bibliography:Application Number: US201816498973