Space-domain, filtered backpropagation algorithm for tomographic configuration with scanning of illumination
| Autor: | Tomasz Kozacki, Julianna Kostencka |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Tomographic reconstruction
business.industry Computer science Holography Normalization (image processing) 02 engineering and technology 021001 nanoscience & nanotechnology 01 natural sciences Backpropagation Imaging phantom law.invention 010309 optics law 0103 physical sciences Computer vision Artificial intelligence Tomography 0210 nano-technology business |
| Zdroj: | SPIE Proceedings. |
| ISSN: | 0277-786X |
| DOI: | 10.1117/12.2229732 |
| Popis: | Filtered back propagation (FBPP) is a well-established reconstruction technique that is used in diffractive holographic tomography. The great advantage of the algorithm is the space-domain implementation, which enables avoiding the error-prone interpolation in the spectral domain that is an inherent part of the main counterpart of FBPP - the direct inversion tomographic reconstruction method. However, the fundamental flaw of FBPP is lack of generality, i.e. the method can be applied solely for the classical tomographic systems, where alternation of the measurement views is achieved by rotating a sample. At the same time, majority of the nowadays tomographic setups apply an alternative measurement concept, which is based on scanning of an illumination beam. The aim of this paper is to remove the mentioned limitation of the FBPP and enable its application in the systems utilizing scanning of illumination. This is achieved by introducing a new method of accounting for uneven cover of the sampled object frequencies, which applies normalization of the object spectrum with coherent transfer function of a considered tomographic system. The feasibility of the proposed, modified filtered back propagation algorithm is demonstrated with numerical simulations, which mimic tomographic measurement of a complex sample, i.e. the Shepp-Logan phantom. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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