Generalized total variation iterative constraint strategy in limited angle optical diffraction tomography

被引：54
作者：
Krauze, Wojciech [1 ]
Makowski, Piotr [1 ]
Kujawinska, Malgorzata [1 ]
Kus, Arkadiusz [1 ]
机构：
[1] Warsaw Univ Technol, Inst Micromech & Photon, Fac Mechatron, Sw A Boboli 8 St, PL-02525 Warsaw, Poland
来源：
OPTICS EXPRESS | 2016年 / 24卷 / 05期
关键词：
IMAGE-RECONSTRUCTION; PHASE; ALGORITHM; OBJECTS;
D O I：
10.1364/OE.24.004924
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
Due 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. (C)2016 Optical Society of America
引用
收藏
页码：4924 / 4936
页数：13
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