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Time-coded aperture for x-ray imaging

Ching, Daniel ; Aslan, Selin ; Nikitin, Viktor LU and Gürsoy, Dog A. (2019) In Optics Letters 44(11). p.2803-2806
Abstract

We describe a computational imaging system for x-ray tomography, where image capture and post-processing are co-designed to improve final image quality when relative motion of an experiment’s components during a single exposure causes motion blur. The idea is based on temporally encoding the motion during each exposure by fluttering the detector shutter open and closed with a known sequence for guaranteeing an invertible motion blur kernel. While generally applicable, we demonstrate our approach by simulating blurry data acquisition for transmission x-ray tomography and deblurring the reconstructed images. The results suggest that optimized pseudo-random binary time-coded apertures can yield successful reconstructions independent of the... (More)

We describe a computational imaging system for x-ray tomography, where image capture and post-processing are co-designed to improve final image quality when relative motion of an experiment’s components during a single exposure causes motion blur. The idea is based on temporally encoding the motion during each exposure by fluttering the detector shutter open and closed with a known sequence for guaranteeing an invertible motion blur kernel. While generally applicable, we demonstrate our approach by simulating blurry data acquisition for transmission x-ray tomography and deblurring the reconstructed images. The results suggest that optimized pseudo-random binary time-coded apertures can yield successful reconstructions independent of the size of the blur kernel. This Letter is especially relevant to high-speed x-ray tomography applications where time-resolution is limited by the detector or available photon flux.

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Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Optics Letters
volume
44
issue
11
pages
4 pages
publisher
Optical Society of America
external identifiers
  • scopus:85066439315
ISSN
0146-9592
DOI
10.1364/OL.44.002803
language
English
LU publication?
yes
id
0b913e1d-92be-4d32-b6e0-4964c088ae64
date added to LUP
2019-07-04 10:34:34
date last changed
2022-04-10 19:43:50
@article{0b913e1d-92be-4d32-b6e0-4964c088ae64,
  abstract     = {{<p>We describe a computational imaging system for x-ray tomography, where image capture and post-processing are co-designed to improve final image quality when relative motion of an experiment’s components during a single exposure causes motion blur. The idea is based on temporally encoding the motion during each exposure by fluttering the detector shutter open and closed with a known sequence for guaranteeing an invertible motion blur kernel. While generally applicable, we demonstrate our approach by simulating blurry data acquisition for transmission x-ray tomography and deblurring the reconstructed images. The results suggest that optimized pseudo-random binary time-coded apertures can yield successful reconstructions independent of the size of the blur kernel. This Letter is especially relevant to high-speed x-ray tomography applications where time-resolution is limited by the detector or available photon flux.</p>}},
  author       = {{Ching, Daniel and Aslan, Selin and Nikitin, Viktor and Gürsoy, Dog A.}},
  issn         = {{0146-9592}},
  language     = {{eng}},
  number       = {{11}},
  pages        = {{2803--2806}},
  publisher    = {{Optical Society of America}},
  series       = {{Optics Letters}},
  title        = {{Time-coded aperture for x-ray imaging}},
  url          = {{http://dx.doi.org/10.1364/OL.44.002803}},
  doi          = {{10.1364/OL.44.002803}},
  volume       = {{44}},
  year         = {{2019}},
}