title: Minimal-scan filtered backpropagation algorithms for diffraction tomography.
abstract: The filtered backpropagation (FBPP) algorithm, originally developed by Devaney [Ultrason. Imaging 4, 336 (1982)], has been widely used for reconstructing images in diffraction tomography. It is generally known that the FBPP algorithm requires scattered data from a full angular range of 2 pi for exact reconstruction of a generally complex-valued object function. However, we reveal that one needs scattered data only over the angular range 0 < or = phi < or = 3 pi/2 for exact reconstruction of a generally complex-valued object function. Using this insight, we develop and analyze a family of minimal-scan filtered backpropagation (MS-FBPP) algorithms, which, unlike the FBPP algorithm, use scattered data acquired from view angles over the range 0 < or = phi < or = 3 pi/2. We show analytically that these MS-FBPP algorithms are mathematically identical to the FBPP algorithm. We also perform computer simulation studies for validation, demonstration, and comparison of these MS-FBPP algorithms. The numerical results in these simulation studies corroborate our theoretical assertions.
authors.affiliation: Department of Radiology, University of Chicago, Illinois 60637, USA. x-pan@uchicago.edu
authors.forename: X
authors.initials: X
authors.lastname: Pan
authors.forename: M A
authors.initials: MA
authors.lastname: Anastasio
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D005583:Fourier Analysis; D014054:Tomography