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Title: Gridrec-MS: an algorithm for multi-slice tomography

Abstract

Advances in imaging systems and modeling allow for depth information to be retrieved from projections via virtual sectioning of the imaged object. Here we introduce a regridding method that explicitly and directly incorporates this information into a general and non-iterative tomographic reconstruction algorithm. The method is applicable to any imaging scheme that provides depth-resolved projections. Additionally, we show, via numerical simulations, that with this method the required number of projections for adequate angular sampling can be reduced.

Authors:
ORCiD logo; ORCiD logo; ORCiD logo
Publication Date:
Research Org.:
Brookhaven National Lab. (BNL), Upton, NY (United States); Paul Scherrer Inst. (PSI), Villigen (Switzerland)
Sponsoring Org.:
USDOE; Swiss National Science Foundation (SNSF)
OSTI Identifier:
1507813
Alternate Identifier(s):
OSTI ID: 1507602; OSTI ID: 1513219
Report Number(s):
BNL-211595-2019-JAAM
Journal ID: ISSN 0146-9592; OPLEDP
Grant/Contract Number:  
SC0012704; 200020_169623; 200021_152554
Resource Type:
Published Article
Journal Name:
Optics Letters
Additional Journal Information:
Journal Name: Optics Letters Journal Volume: 44 Journal Issue: 9; Journal ID: ISSN 0146-9592
Publisher:
Optical Society of America
Country of Publication:
United States
Language:
English
Subject:
47 OTHER INSTRUMENTATION; fast Fourier transforms; Fourier transforms; image processing; image quality; imaging systems; numerical simulation

Citation Formats

Tsai, Esther H. R., Marone, Federica, and Guizar-Sicairos, Manuel. Gridrec-MS: an algorithm for multi-slice tomography. United States: N. p., 2019. Web. https://doi.org/10.1364/OL.44.002181.
Tsai, Esther H. R., Marone, Federica, & Guizar-Sicairos, Manuel. Gridrec-MS: an algorithm for multi-slice tomography. United States. https://doi.org/10.1364/OL.44.002181
Tsai, Esther H. R., Marone, Federica, and Guizar-Sicairos, Manuel. Fri . "Gridrec-MS: an algorithm for multi-slice tomography". United States. https://doi.org/10.1364/OL.44.002181.
@article{osti_1507813,
title = {Gridrec-MS: an algorithm for multi-slice tomography},
author = {Tsai, Esther H. R. and Marone, Federica and Guizar-Sicairos, Manuel},
abstractNote = {Advances in imaging systems and modeling allow for depth information to be retrieved from projections via virtual sectioning of the imaged object. Here we introduce a regridding method that explicitly and directly incorporates this information into a general and non-iterative tomographic reconstruction algorithm. The method is applicable to any imaging scheme that provides depth-resolved projections. Additionally, we show, via numerical simulations, that with this method the required number of projections for adequate angular sampling can be reduced.},
doi = {10.1364/OL.44.002181},
journal = {Optics Letters},
number = 9,
volume = 44,
place = {United States},
year = {2019},
month = {4}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.1364/OL.44.002181

Citation Metrics:
Cited by: 1 work
Citation information provided by
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Figures / Tables:

Fig. 1 Fig. 1: Illustration of the Fourier space coverage for (a) conventional projection tomography and (b) multi-slice tomography with M = 3. A depth-resolved projection has a dimension of M by T and, with the multi-slice method, its 2D Fourier transform is thickened by M compared to that of the conventionalmore » projection. As a result, more of the Fourier space is filled with the data for the same ∆θ.« less

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