GENFIRE: A generalized Fourier iterative reconstruction algorithm for high-resolution 3D imaging.

ABSTRACT: Tomography has made a radical impact on diverse fields ranging from the study of 3D atomic arrangements in matter to the study of human health in medicine. Despite its very diverse applications, the core of tomography remains the same, that is, a mathematical method must be implemented to reconstruct the 3D structure of an object from a number of 2D projections. Here, we present the mathematical implementation of a tomographic algorithm, termed GENeralized Fourier Iterative REconstruction (GENFIRE), for high-resolution 3D reconstruction from a limited number of 2D projections. GENFIRE first assembles a 3D Fourier grid with oversampling and then iterates between real and reciprocal space to search for a global solution that is concurrently consistent with the measured data and general physi

SUBMITTER: Pryor A 

PROVIDER: S-EPMC5585178 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature