Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

GPU-Accelerated Coupled Ptychographic Tomography

Achilles, Silvio ; Ehrig, Simeon ; Hoffmann, Nico ; Kahnt, Maik LU orcid ; Becher, Johannes ; Fam, Yakub ; Sheppard, Thomas ; Brückner, Dennis ; Schropp, Andreas and Schroer, Christian G. (2022) Developments in X-Ray Tomography XIV 2022 In Proceedings of SPIE - The International Society for Optical Engineering 12242.
Abstract

Scanning coherent X-ray microscopy (ptychography) has gained considerable interest during the last decade since the performance of this indirect imaging technique does not necessarily rely on the quality of the X-ray optics and, in principle, can achieve highest spatial resolution in X-ray imaging. The method can be easily extended to 3D by adding standard tomographic reconstruction schemes. However, the tomographic reconstruction is often applied in a subsequent step using a sequence of aligned ptychographic 2D projections. In this contribution, we outline current developments of a GPU-accelerated framework for direct 3D ptychography, coupling 2D ptychography and tomography. The program utilizes a custom GPU-accelerated framework for... (More)

Scanning coherent X-ray microscopy (ptychography) has gained considerable interest during the last decade since the performance of this indirect imaging technique does not necessarily rely on the quality of the X-ray optics and, in principle, can achieve highest spatial resolution in X-ray imaging. The method can be easily extended to 3D by adding standard tomographic reconstruction schemes. However, the tomographic reconstruction is often applied in a subsequent step using a sequence of aligned ptychographic 2D projections. In this contribution, we outline current developments of a GPU-accelerated framework for direct 3D ptychography, coupling 2D ptychography and tomography. The program utilizes a custom GPU-accelerated framework for ptychography that offers three distinct ptychographic reconstruction algorithms. The tomographic reconstruction runs simultaneously and uses numerical routines of the ASTRA Toolbox. This parallel-computing approach results in a high performance increase considerably reducing the reconstruction time of 3D ptychographic datasets.

(Less)
Please use this url to cite or link to this publication:
author
; ; ; ; ; ; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
CUDA, phase retrieval, ptychography, tomography
host publication
Developments in X-Ray Tomography XIV
series title
Proceedings of SPIE - The International Society for Optical Engineering
editor
Muller, Bert and Wang, Ge
volume
12242
article number
122420N
pages
9 pages
publisher
SPIE
conference name
Developments in X-Ray Tomography XIV 2022
conference location
San Diego, United States
conference dates
2022-08-22 - 2022-08-24
external identifiers
  • scopus:85184843705
ISSN
1996-756X
0277-786X
ISBN
9781510654686
DOI
10.1117/12.2633102
language
English
LU publication?
yes
additional info
Funding Information: We acknowledge DESY (Hamburg, Germany), a member of the Helmholtz Association HGF, for the provision of experimental facilities. Parts of this research were carried out at beamline P06 of PETRA III. This research was supported in part through the Maxwell computational resources operated at Deutsches Elektronen-Synchrotron DESY, Hamburg, Germany, and in part by Ptychography 4.0, a project of the Helmholtz Incubator on Information and Data Science. Publisher Copyright: © 2022 SPIE.
id
bee61c9e-dca5-4301-b247-d89bb1786169
date added to LUP
2024-02-20 12:08:11
date last changed
2024-04-23 16:11:21
@inproceedings{bee61c9e-dca5-4301-b247-d89bb1786169,
  abstract     = {{<p>Scanning coherent X-ray microscopy (ptychography) has gained considerable interest during the last decade since the performance of this indirect imaging technique does not necessarily rely on the quality of the X-ray optics and, in principle, can achieve highest spatial resolution in X-ray imaging. The method can be easily extended to 3D by adding standard tomographic reconstruction schemes. However, the tomographic reconstruction is often applied in a subsequent step using a sequence of aligned ptychographic 2D projections. In this contribution, we outline current developments of a GPU-accelerated framework for direct 3D ptychography, coupling 2D ptychography and tomography. The program utilizes a custom GPU-accelerated framework for ptychography that offers three distinct ptychographic reconstruction algorithms. The tomographic reconstruction runs simultaneously and uses numerical routines of the ASTRA Toolbox. This parallel-computing approach results in a high performance increase considerably reducing the reconstruction time of 3D ptychographic datasets.</p>}},
  author       = {{Achilles, Silvio and Ehrig, Simeon and Hoffmann, Nico and Kahnt, Maik and Becher, Johannes and Fam, Yakub and Sheppard, Thomas and Brückner, Dennis and Schropp, Andreas and Schroer, Christian G.}},
  booktitle    = {{Developments in X-Ray Tomography XIV}},
  editor       = {{Muller, Bert and Wang, Ge}},
  isbn         = {{9781510654686}},
  issn         = {{1996-756X}},
  keywords     = {{CUDA; phase retrieval; ptychography; tomography}},
  language     = {{eng}},
  publisher    = {{SPIE}},
  series       = {{Proceedings of SPIE - The International Society for Optical Engineering}},
  title        = {{GPU-Accelerated Coupled Ptychographic Tomography}},
  url          = {{http://dx.doi.org/10.1117/12.2633102}},
  doi          = {{10.1117/12.2633102}},
  volume       = {{12242}},
  year         = {{2022}},
}