Back to Search
Start Over
Alignment methods for nanotomography with deep subpixel accuracy
- Source :
- Optics express. 27(25)
- Publication Year :
- 2019
-
Abstract
- As the resolution of X-ray tomography improves, the limited long-term stability and accuracy of nanoimaging tools does not allow computing artifact-free three-dimensional (3D) reconstructions without an additional step of numerical alignment of the measured projections. However, the common iterative alignment methods are significantly more computationally demanding than a simple tomographic reconstruction of the acquired volume. Here, we address this issue and present an alignment toolkit, which exploits methods with deep-subpixel accuracy combined with a multi-resolution scheme. This leads to robust and accurate alignment with significantly reduced computational and memory requirements. The performance of the presented methods is demonstrated on simulated and measured datasets for tomography and also laminography acquisition geometries. A GPU accelerated implementation of our alignment framework is publicly available.
- Subjects :
- Tomographic reconstruction
medicine.diagnostic_test
Computer science
business.industry
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Volume (computing)
Stability (learning theory)
Computed tomography
02 engineering and technology
Iterative reconstruction
021001 nanoscience & nanotechnology
01 natural sciences
Subpixel rendering
Atomic and Molecular Physics, and Optics
010309 optics
Optics
0103 physical sciences
Phase imaging
medicine
Computer vision
Tomography
Artificial intelligence
0210 nano-technology
business
Image resolution
Subjects
Details
- ISSN :
- 10944087
- Volume :
- 27
- Issue :
- 25
- Database :
- OpenAIRE
- Journal :
- Optics express
- Accession number :
- edsair.doi.dedup.....fe91bf98b7b57d2fa50e7f4632c01a92