Time-coded aperture for x-ray imaging

Ching, Daniel J.; Aslan, Selin; Никитин, В. В.; Gürsoy, Doğa

doi:10.1364/ol.44.002803

Cited by 6 publications

(4 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For experimental conditions when faster scanning is desired, one can encode the signals in time. The working principle of motion correction with timecoded measurements is conceptually equivalent to codedaperture imaging, except that the signals are modulated temporally instead of spatially (Ching et al, 2019).…”

Section: Discussionmentioning

confidence: 99%

Depth-resolved Laue microdiffraction with coded apertures

et al. 2022

Self Cite

View full text Add to dashboard Cite

A rapid data acquisition and reconstruction method is introduced to image the crystalline structure of materials and the associated strain and orientations at micrometre resolution using Laue diffraction. The method relies on scanning a coded aperture across the diffracted X-ray beam from broadband illumination and a reconstruction algorithm to resolve Laue microdiffraction patterns as a function of depth along the incident illumination path. It provides rapid access to full diffraction information for sub-micrometre volume elements in bulk materials. Both the theory and the experimental validation of this imaging approach are presented.

show abstract

Section: Discussionmentioning

confidence: 99%

Depth-resolved Laue microdiffraction with coded apertures

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…For experimental conditions when faster scanning is desired, one can encode the signals in time. The working principle of motion correction with time-coded measurements is conceptually equivalent to coded-aperture imaging, except that the signals are modulated temporally instead of spatially [22].…”

Section: Discussionmentioning

confidence: 99%

Depth-resolved Laue microdiffraction with coded-apertures

Gürsoy¹,

Sheyfer²,

Wojcik³

et al. 2022

Preprint

View full text Add to dashboard Cite

We introduce a rapid data acquisition and reconstruction method to image the crystalline structure of materials and associated strain and orientations at micrometer resolution using Laue diffraction. Our method relies on scanning a coded-aperture across the diffracted x-ray beams from a broadband illumination, and a reconstruction algorithm to resolve Laue microdiffraction patterns as a function of depth along the incident illumination path. This method provides a rapid access to full diffraction information at sub-micrometer volume elements in bulk materials. Here we present the theory as well as the experimental validation of this imaging approach.

show abstract

“…In the future, the methods to improve the convergence speed of the proposed optimization method will be studied. Some other coding strategies such as time-coded aperture mask approach can be explored to realize the fast imaging process in the CXT system [47]. In addition, the testbed experiments of the proposed CXT imaging approach will be implemented.…”

Section: Ieee Photonics Journalmentioning

confidence: 99%

Conveyor X-Ray Tomosynthesis Imaging With Optimized Structured Sequential Illumination

Wang

Cuadros

et al. 2020

IEEE Photonics J.

View full text Add to dashboard Cite

Compressive X-ray tomosynthesis is a computational imaging technique used to reconstruct three-dimensional objects from a set of projection measurements, where the masks are used to modulate the structured illumination to reduce the radiation dose while retaining the reconstruction performance. This paper proposes a conveyor X-ray tomosynthesis imaging method with optimized structured sequential illumination. Variations of this geometry where the object is static but the measurement gantry is dynamic are possible within the proposed framework. In this system, several X-ray sources are successively used to interrogate the moving object lying on a conveyor, where the compressive measurements are received by a set of low-cost strip detectors. The dynamic imaging model and reconstruction framework of the proposed system are established taking into account sensing geometry along with the movement of the object. Subsequently, a genetic algorithm is developed to optimize the exposure sequence of X-ray sources and mask patterns and during the dynamic measurement process. The optimization problem is formulated based on the restricted isometry property of compressive sensing theory to ameliorate the ill-posed inverse tomosynthesis problem. The optimized structured sequential illumination is proved to significantly improve the imaging performance of the conveyor X-ray tomosynthesis system based on a set of simulations.

show abstract

Time-coded aperture for x-ray imaging

Cited by 6 publications

References 23 publications

Depth-resolved Laue microdiffraction with coded apertures

Depth-resolved Laue microdiffraction with coded apertures

Depth-resolved Laue microdiffraction with coded-apertures

Conveyor X-Ray Tomosynthesis Imaging With Optimized Structured Sequential Illumination

Contact Info

Product

Resources

About