title: Speckle reduction by I-divergence regularization in optical coherence tomography.
abstract: For optical coherence tomography (OCT), ultrasound, synthetic-aperture radar, and other coherent ranging methods, speckle can cause spurious detail that detracts from the utility of the image. It is a problem inherent to imaging densely scattering objects with limited bandwidth. Using a method of regularization by minimizing Csiszar's I-divergence measure, we derive a method of speckle minimization that produces an image that both is consistent with the known data and extrapolates additional detail based on constraints on the magnitude of the image. This method is demonstrated on a test image and on an OCT image of a Xenopus laevis tadpole.
authors.affiliation: Beckman Institute of Advanced Science and Technology, 405 N. Mathews, Urbana, Illinois 61801, USA.
authors.forename: Daniel L
authors.initials: DL
authors.lastname: Marks
authors.forename: Tyler S
authors.initials: TS
authors.lastname: Ralston
authors.forename: Stephen A
authors.initials: SA
authors.lastname: Boppart
mesh_terms: D000465:Algorithms; D000818:Animals; D016477:Artifacts; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D007814:Larva / Q000033:anatomy & histology; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D041623:Tomography, Optical Coherence / Q000379:methods*; D014982:Xenopus laevis / Q000033:anatomy & histology*