Abstract
Optical coherence tomography is a new imaging method, which is widely used in many fields. This article introduces an iterative image reconstruction algorithm based on gradient trees. It also discusses image reconstruction methods containing void-like regions. It is proved that the image reconstruction based on the transportation model can overcome the shortcomings of the diffusion equation, and it can accurately reconstruct the optical tomographic image.
Optimized number of the primary singular values for image reconstruction in reflection matrix based optical coherence tomography
