Back to Search
Start Over
Post-reconstruction 3D single-distance phase retrieval for multi-stage phase-contrast tomography with photon-counting detectors
- Source :
- Journal of Synchrotron Radiation. 26:510-516
- Publication Year :
- 2019
- Publisher :
- International Union of Crystallography (IUCr), 2019.
-
Abstract
- In the case of single-distance propagation-based phase-contrast X-ray computed tomography with synchrotron radiation, the conventional reconstruction pipeline includes an independent 2D phase retrieval filtering of each acquired projection prior to the actual reconstruction. In order to compensate for the limited height of the X-ray beam or the small sensitive area of most modern X-ray photon-counting detectors, it is quite common to image large objects with a multi-stage approach, i.e. several acquisitions at different vertical positions of the sample. In this context, the conventional reconstruction pipeline may introduce artifacts at the margins of each vertical stage. This article presents a modified computational protocol where a post-reconstruction 3D volume phase retrieval is applied. By comparing the conventional 2D and the proposed 3D reconstructions of a large mastectomy specimen (9 cm in diameter and 3 cm in height), it is here shown that the 3D approach compensates for the multi-stage artifacts, it avoids refined projection stitching, and the image quality in terms of spatial resolution, contrast and contrast-to-noise ratio is preserved.
- Subjects :
- Nuclear and High Energy Physics
Image quality
Computer science
Context (language use)
01 natural sciences
photon-counting detector
030218 nuclear medicine & medical imaging
image artifacts
010309 optics
Image stitching
03 medical and health sciences
0302 clinical medicine
0103 physical sciences
photon-counting detectors
Computer vision
Projection (set theory)
Instrumentation
Image resolution
Radiation
business.industry
Detector
Computed tomography
Image artifacts
Photon-counting detectors
Single-distance phase retrieval
X-ray phase contrast
computed tomography
Photon counting
single-distance phase retrieval
Artificial intelligence
Phase retrieval
business
Subjects
Details
- ISSN :
- 16005775
- Volume :
- 26
- Database :
- OpenAIRE
- Journal :
- Journal of Synchrotron Radiation
- Accession number :
- edsair.doi.dedup.....11057d635ea31da1276ea0432f8fac4e
- Full Text :
- https://doi.org/10.1107/s1600577519000237