1. Improved visualization of X-ray phase contrast volumetric data through artifact-free integrated differential images
- Author
-
Alessandro Olivo, Lorenzo Massimi, Savvas Savvidis, and Marco Endrizzi
- Subjects
Computer science ,Image quality ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Biophysics ,Streak ,Phase (waves) ,General Physics and Astronomy ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,Sampling (signal processing) ,Image Processing, Computer-Assisted ,Radiology, Nuclear Medicine and imaging ,Computer vision ,Tomography ,Artifact (error) ,Phantoms, Imaging ,business.industry ,X-Rays ,General Medicine ,Differential phase ,Visualization ,030220 oncology & carcinogenesis ,Artificial intelligence ,Artifacts ,Tomography, X-Ray Computed ,business ,Algorithms - Abstract
Artifacts arising when differential phase images are integrated is a common problem to several X-ray phase-based experimental techniques. The combination of noise and insufficient sampling of the high-frequency differential phase signal leads to the formation of streak artifacts in the projections, translating into poor image quality in the tomography slices. In this work, we apply a non-iterative integration algorithm proven to reduce streak artifacts in planar (2D) images to a differential phase tomography scan. We report on how the reduction of streak artifacts in the projections improves the quality of the tomography slices, especially in the directions different from the reconstruction plane. Importantly, the method is compatible with large tomography datasets in terms of computation time.
- Published
- 2021