Single step full volumetric reconstruction optical coherence tomography utilizing compressive sensing
| Autor: | Jiangtao Cheng, Luoyang Chen, Jiansheng Liu, Haitao Liu, Hongwen Zhou |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
medicine.diagnostic_test business.industry Computer science Single step Reconstruction algorithm 01 natural sciences Atomic and Molecular Physics and Optics Electronic Optical and Magnetic Materials Volumetric reconstruction 010309 optics 03 medical and health sciences 030104 developmental biology Optics Compressed sensing Optical coherence tomography 0103 physical sciences medicine Electrical and Electronic Engineering Physical and Theoretical Chemistry business |
| Zdroj: | Optics Communications. 387:117-120 |
| ISSN: | 0030-4018 |
| DOI: | 10.1016/j.optcom.2016.11.022 |
| Popis: | 3D optical coherence tomography imaging (OCT) combined with compressive sensing (CS) has been proved to be an attractive and effective tool in a variety of fields, such as medicine and biology. To achieve high quality imaging while using as less CS sampling rate as possible is the goal of this approach. Here we present an innovative single step fully 3D CS-OCT volumetric image recovery method, in which 3D OCT volumetric image of the object is compressively sampled via our proposed CS coding strategies in all three dimensions while its sparsity is simultaneously taken into consideration in every direction. The object can be directly recovered as the whole volume reconstruction via our advanced full 3D CS reconstruction algorithm. The numerical simulations of a human retina OCT volumetric image reconstruction by our method demonstrate a PSNR of as high as 38dB at a sampling rate of less than 10%. |
| Databáze: | OpenAIRE |
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