Alignment of 3D Optical Coherence Tomography Scans to Correct Eye Movement Using a Particle Filtering
Eye movement artifacts occurring during three-dimensional (3D) optical coherence tomography (OCT) scanning is a well-recognized problem that may adversely affect image analysis and interpretation. A particle filtering algorithm is presented in this paper to correct motion in a 3D dataset by considering eye movement as a target tracking problem in a dynamic system. The proposed particle filtering algorithm is an independent 3D alignment approach, which does not rely on any reference image. 3D OCT data is considered as a dynamic system, while the location of each A-scan is represented by the state space. A particle set is used to approximate ...
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