Robust image reconstruction strategy for multiscalar holotomography
Please always quote using this URN: urn:nbn:de:bvb:20-opus-262112
- Holotomography is an extension of computed tomography where samples with low X-ray absorption can be investigated with higher contrast. In order to achieve this, the imaging system must yield an optical resolution of a few micrometers or less, which reduces the measurement area (field of view = FOV) to a few mm at most. If the sample size, however, exceeds the field of view (called local tomography or region of interest = ROI CT), filter problems arise during the CT reconstruction and phase retrieval in holotomography. In this paper, we willHolotomography is an extension of computed tomography where samples with low X-ray absorption can be investigated with higher contrast. In order to achieve this, the imaging system must yield an optical resolution of a few micrometers or less, which reduces the measurement area (field of view = FOV) to a few mm at most. If the sample size, however, exceeds the field of view (called local tomography or region of interest = ROI CT), filter problems arise during the CT reconstruction and phase retrieval in holotomography. In this paper, we will first investigate the practical impact of these filter problems and discuss approximate solutions. Secondly, we will investigate the effectiveness of a technique we call “multiscalar holotomography”, where, in addition to the ROI CT, a lower resolution non-ROI CT measurement is recorded. This is used to avoid the filter problems while simultaneously reconstructing a larger part of the sample, albeit with a lower resolution in the additional area.…
Author: | Maximilian Ullherr, Matthias Diez, Simon Zabler |
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URN: | urn:nbn:de:bvb:20-opus-262112 |
Document Type: | Journal article |
Faculties: | Fakultät für Physik und Astronomie |
Language: | English |
Parent Title (English): | Journal of Imaging |
ISSN: | 2313-433X |
Year of Completion: | 2022 |
Volume: | 8 |
Issue: | 2 |
Article Number: | 37 |
Source: | Journal of Imaging (2022) 8:2, 37. https://doi.org/10.3390/jimaging8020037 |
DOI: | https://doi.org/10.3390/jimaging8020037 |
Sonstige beteiligte Institutionen: | Lehrstuhl für Röntgenmikroskopie |
Dewey Decimal Classification: | 5 Naturwissenschaften und Mathematik / 53 Physik / 530 Physik |
Tag: | CT; ROI; X-ray; computed tomography; holotomography; multiscalar holotomography; reconstruction; region of interest |
Release Date: | 2023/05/08 |
Date of first Publication: | 2022/02/02 |
Licence (German): | CC BY: Creative-Commons-Lizenz: Namensnennung 4.0 International |