title: Adaptive spectral apodization for sidelobe reduction in optical coherence tomography images.
abstract: Often in imaging systems, the bandpass of the system is not uniform. In temporal coherence imaging methods such as optical coherence tomography, one would like to achieve the most spatially confined impulse response possible with a given source spectrum, minimizing sidelobes that blur adjacent features together. Typically the spectrum of the source is controlled in order to remove sidelobes from the measured interferogram. However, the measured interferogram is not necessarily the best estimate of the scattering density of the object. In this work, a sidelobe supression method is proposed and demonstrated to achieve low sidelobes even with highly nonuniform, non-Gaussian spectra.
authors.affiliation: University of Illinois at Urbana-Champaign, Beckman Institute for Advanced Science and Technology, Department of Electrical and Computer Engineering, 405 North Mathews, Urbana, Illinois 61801, USA. dmarks@uiuc.edu
authors.forename: Daniel
authors.initials: D
authors.lastname: Marks
authors.forename: P Scott
authors.initials: PS
authors.lastname: Carney
authors.forename: Stephen A
authors.initials: SA
authors.lastname: Boppart
mesh_terms: D000465:Algorithms; D000818:Animals; D016477:Artifacts; D001940:Breast / Q000166:cytology*; D002478:Cells, Cultured; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D051381:Rats; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D041623:Tomography, Optical Coherence / Q000379:methods*