GPU-Accelerated Coupled Ptychographic Tomography
(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.
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- author
- Achilles, Silvio ; Ehrig, Simeon ; Hoffmann, Nico ; Kahnt, Maik LU ; Becher, Johannes ; Fam, Yakub ; Sheppard, Thomas ; Brückner, Dennis ; Schropp, Andreas and Schroer, Christian G.
- organization
- publishing date
- 2022
- 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}}, }