X-Ray Talbot Interferometry for Medical Phase Imaging

Momose, Atsushi; Kawamoto, Shinya; Koyama, Ichiro

doi:10.1063/1.1796605

Cited by 9 publications

(7 citation statements)

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“…By taking images with the Dexela 1512 flat-panel detector at N different G2 positions the fringe pattern in front of each pixel is scanned. The intensity in the m'th pixel at the G2−position x is given by [17,18]…”

Section: X-ray Phase-contrast Imaging With An Talbot-lau Interferometermentioning

confidence: 99%

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Reconstruction method for grating-based x-ray phase-contrast images without knowledge of the grating positions

Pelzer¹,

Rieger²,

Hauke³

et al. 2015

J. Inst.

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To retrieve the phase information of x-rays using a Talbot-Lau interferometer, the knowledge of the grating positions is mandatory. Transferring the interferometer technique from the laboratory to a conventional x-ray imaging system, this requirement is no longer guaranteed. This is due to distortions and vibrations which are coupled into the interferometer. Therefore, we applied a principal-component analysis to Talbot-Lau x-ray phase-contrast data. In experiments we compared this alternative approach for image reconstruction to the conventional procedure. As a result, a superior robustness of the principal-component analysis against imperfect phase-stepping data was found. Furthermore, using the proposed method, the reconstruction of x-ray phase-contrast images from randomly distributed phase-step positions is possible. K: Medical-image reconstruction methods and algorithms, computer-aided software; Xray radiography and digital radiography (DR)

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Section: X-ray Phase-contrast Imaging With An Talbot-lau Interferometermentioning

confidence: 99%

“…The phase ϕ m is retrived by a discrete Fourier transformation F of the measured intensities: [17,19]…”

Section: X-ray Phase-contrast Imaging With An Talbot-lau Interferometermentioning

confidence: 99%

Reconstruction method for grating-based x-ray phase-contrast images without knowledge of the grating positions

Pelzer¹,

Rieger²,

Hauke³

et al. 2015

J. Inst.

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“…By misaligning the relative orientation of the two gratings, a set of Moiré fringes, whose period can be adjusted by changing the relative angular orientation of the grating, is detected at the CCD. The optimal setting of the Moiré fringes is given (Momose et al 2010) by the tradeoff between period (that should be as small as possible for high resolution) and visibility (which determines the sensitivity). Once the optimal condition has been set, attenuation, differential phase and scatter images can be extracted by postprocessing from a single raw projection of the sample, with the method described in Wen et al (2010).…”

Section: Description Of the Experimental Setupmentioning

confidence: 99%

Comparison of different numerical treatments for x-ray phase tomography of soft tissue from differential phase projections

et al. 2015

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X-ray imaging of soft tissue is made difficult by their low absorbance. The use of x-ray phase imaging and tomography can significantly enhance the detection of these tissues and several approaches have been proposed to this end. Methods such as analyzer-based imaging or grating interferometry produce differential phase projections that can be used to reconstruct the 3D distribution of the sample refractive index. We report on the quantitative comparison of three different methods to obtain x-ray phase tomography with filtered back-projection from differential phase projections in the presence of noise. The three procedures represent different numerical approaches to solve the same mathematical problem, namely phase retrieval and filtered back-projection. It is found that obtaining individual phase projections and subsequently applying a conventional filtered back-projection algorithm produces the best results for noisy experimental data, when compared with other procedures based on the Hilbert transform. The algorithms are tested on simulated phantom data with added noise and the predictions are confirmed by experimental data acquired using a grating interferometer. The experiment is performed on unstained adult zebrafish, an important model organism for biomedical studies. The method optimization described here allows resolution of weak soft tissue features, such as muscle fibers.

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“…Gratingbased shearing interferometers rely on the self-interference of the beam; they are easy to align and operate with wider dynamic range. Such techniques include lateral shearing interferometry with amplitude 12 or phase gratings 4 , Ronchi gratings 5 or Talbot imaging 3,13 . Non-interferometric techniques are also available where beam coherence is low or large wavefront errors must be measured.…”

Section: Introductionmentioning

confidence: 99%

Design and demonstration of tunable soft x-ray lateral shearing and Hartmann wavefront sensors

Wojdyla

Bryant

Chao

et al. 2018

Advances in X-Ray/Euv Optics and Components XIII

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We describe design guidelines for soft x-ray wavefront sensors and experimentally demonstrate their performance, comparing grating-based lateral shearing interferometry and Hartmann wavefront sensing. We created a compact shearing interferometer concept with a dense array of binary amplitude gratings in a single membrane to support one-dimensional wavefront measurements across a wide wavelength range without the need for longitudinal position adjustment. We find that a common scaling parameter based on wavelength and the distance to the measurement plane guides the design of both systems toward optimal sensitivity. We show preliminary results from recent experiments demonstrating one and two-dimensional wavefront sensing below the Maréchal criterion.

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X-Ray Talbot Interferometry for Medical Phase Imaging

Cited by 9 publications

References 0 publications

Reconstruction method for grating-based x-ray phase-contrast images without knowledge of the grating positions

Reconstruction method for grating-based x-ray phase-contrast images without knowledge of the grating positions

Comparison of different numerical treatments for x-ray phase tomography of soft tissue from differential phase projections

Design and demonstration of tunable soft x-ray lateral shearing and Hartmann wavefront sensors

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