Generalized total variation iterative constraint strategy in limited angle optical diffraction tomography
Wojciech Krauze , Piotr Leszek Makowski , Małgorzata Kujawińska , Arkadiusz Kuś
AbstractDue to incompleteness of input data inherent to Limited Angle Tomography (LAT), specific additional constraints are usually employed to suppress image artifacts. In this work we demonstrate a new two-stage regularization strategy, named Generalized Total Variation Iterative Constraint (GTVIC), dedicated to semi-piecewise-constant objects. It has been successfully applied as a supplementary module for two different reconstruction algorithms: an X-ray type solver and a diffraction-wise solver. Numerical tests performed on a detailed phantom of a biological cell under conical illumination pattern show significant reduction of axial blurring in the reconstructed refractive index distribution after GTVIC is added. Analogous results were obtained with experimental data.
|Journal series||Optics Express, ISSN 1094-4087, , (A 45 pkt)|
|Publication size in sheets||0.6|
|Keywords in Polish||problem odwrotny, rekonstrukcja, wahanie funkcji, rzadkie próbkowanie, tomografia optyczna, tomografia ograniczonego kąta projekcji, analiza komórek biologicznych|
|Keywords in English||inverse problems, reconstruction algorithm, total variation, compressed sensing, optical tomography, limited angle tomography, biological cell investigation|
|Abstract in Polish|
|Score|| = 40.0, 28-12-2019, ArticleFromJournal|
= 45.0, 28-12-2019, ArticleFromJournal
|Publication indicators||= 25; = 20; = 31.0; : 2016 = 1.544; : 2016 = 3.307 (2) - 2016=3.436 (5)|
|Citation count*||31 (2020-01-23)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.