US 12,260,473 B2
System and method for accelerated convergence of iterative tomographic reconstruction
Glenn Myers, Coombs (AU); Andrew Kingston, Kambah (AU); Adrian Sheppard, Fisher (AU); Shane Latham, Griffith (AU); and Trond Varslot, Vuku (NO)
Assigned to FEI Company, Hillsboro, OR (US)
Filed by FEI Company, Hillsboro, OR (US)
Filed on Sep. 30, 2022, as Appl. No. 17/958,110.
Claims priority of provisional application 63/250,785, filed on Sep. 30, 2021.
Prior Publication US 2023/0103037 A1, Mar. 30, 2023
Int. Cl. G06V 10/00 (2022.01); G06T 11/00 (2006.01)
CPC G06T 11/005 (2013.01) [G06T 2211/424 (2013.01)] 22 Claims
OG exemplary drawing
 
1. A method for generating a tomographic reconstruction preconditioner for accelerated iterative tomographic reconstruction, the method comprising:
accessing data from a tomography investigation of a sample;
determining a trajectory of a source of penetrating radiation relative to the sample during the tomography investigation of a sample;
accessing one or more toy models, wherein individual toy models correspond to a simulated model that depicts at least one feature characteristic of the sample;
selecting at least one candidate preconditioner;
determining a first performance of a first candidate preconditioner of the at least one candidate preconditioner on the one or more toy samples;
determining a second performance of a second candidate preconditioner on the one or more toy samples; and
generating a tomographic reconstruction preconditioner based on at least the first performance and the second performance, wherein the tomographic reconstruction preconditioner is configured to expedite the convergence of an iterative tomographic reconstruction algorithm.