In-line phase contrast in synchrotron-radiation microradiography and tomography

Weitkamp, Timm; Rau, Christoph; Snigirev, A.; Benner, Boris; Guenzler, Til Florian; Kuhlmann, Marion; Schroer, Christian G.

doi:10.1117/12.452832

Cited by 23 publications

(14 citation statements)

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“…11(a)-(d). As expected [2, 7], the image reconstructed by use of the FBP algorithm [Fig. 10-(a)] clearly reveals the locations of the boundaries in the foam sample.…”

Section: Investigation Of Algorithm Performance Using Experimentalsupporting

confidence: 77%

“…The image reconstruction task in boundary-enhanced PCT is to determine an estimate of ∇ 2 δ ( r 2 ; z ) from knowledge of g ( x r , z , φ ). When g ( x r , z , φ ) is measured at a large number of view angles φ , this can readily be accomplished, for example, by use of the 2D parallel-beam FBP algorithm [2, 7, 8]. However, in the case of few-view measurement data, analytic reconstruction methods are known to be ineffective and the use of iterative methods is warranted.…”

Section: Background: Imaging Model For Boundary-enhanced Pctmentioning

confidence: 99%

“…In boundary-enhanced PCT [2, 7–9], information regarding the locations of boundaries in the refractive index distribution is sought, rather than an accurate estimate of the refractive index distribution itself [10, 11]. Such boundary-enhanced images can, for example, facilitate the delineation of soft tissue structures in biomedical applications or material flaws in nondestructive testing applications.…”

Section: Introductionmentioning

confidence: 99%

“…It has been demonstrated that image reconstruction in boundary-enhanced PCT can be achieved by use of the parallel-beam filtered backprojection (FBP) algorithm [2, 7, 8] or other analytic reconstruction algorithms [12, 13]. In order to avoid image artifacts when employing these algorithms, tomographic measurements must be typically be acquired at a large number of view angles [14].…”

Section: Introductionmentioning

confidence: 99%

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Image reconstruction exploiting object sparsity in boundary-enhanced X-ray phase-contrast tomography

Sidky¹,

Anastasio²,

Pan³

2010

Opt. Express

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Propagation-based X-ray phase-contrast tomography (PCT) seeks to reconstruct information regarding the complex-valued refractive index distribution of an object. In many applications, a boundary-enhanced image is sought that reveals the locations of discontinuities in the real-valued component of the refractive index distribution. We investigate two iterative algorithms for few-view image reconstruction in boundary-enhanced PCT that exploit the fact that a boundary-enhanced PCT image, or its gradient, is often sparse. In order to exploit object sparseness, the reconstruction algorithms seek to minimize the ℓ 1 -norm or TV-norm of the image, subject to data consistency constraints. We demonstrate that the algorithms can reconstruct accurate boundary-enhanced images from highly incomplete few-view projection data.

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“…11(a)-(d). As expected [2, 7], the image reconstructed by use of the FBP algorithm [Fig. 10-(a)] clearly reveals the locations of the boundaries in the foam sample.…”

Section: Investigation Of Algorithm Performance Using Experimentalsupporting

confidence: 77%

Section: Background: Imaging Model For Boundary-enhanced Pctmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Image reconstruction exploiting object sparsity in boundary-enhanced X-ray phase-contrast tomography

Sidky¹,

Anastasio²,

Pan³

2010

Opt. Express

View full text Add to dashboard Cite

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“…local tomography was performed. This resulted in an offset of reconstructed absorption values and in a typical bright ring shaped artifact or two half ring shaped artifacts within reconstructed slices (31).…”

Section: Synchrotron Radiation Micro-computed Tomographymentioning

confidence: 99%

Functional micro-imaging of soft and hard tissue using synchrotron light

et al. 2004

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In current biological and biomedical research, quantitative endpoints have become an important factor of success. Classically, such endpoints were investigated with 2D imaging, which is usually destructive and the 3D character of tissue gets lost. 3D imaging has gained in importance as a tool for both, qualitative and quantitative assessment of biological systems. In this context synchrotron radiation based tomography has become a very effective tool for opaque 3D tissue systems. Cell cultures and adherent scaffolds are visualized in 3D in a hydrated environment, even uncovering the shape of individual cells. Advanced morphometry allows to characterize the differences between the cell cultures of two distinct phenotypes. Moreover, a new device is presented enabling the 3D investigation of trabecular bone under mechanical load in a time-lapsed fashion. Using the highly brilliant X-rays from a synchrotron radiation source, bone microcracks and an indication for un-cracked ligament bridging are uncovered. 3D microcrack analysis proves that the classification of microcracks from 2D images is ambiguous. Fatigued bone was found to fail in burstlike fashion, whereas non-fatigued bone exhibited a distinct failure band. Additionally, a higher increase in microcrack volume was detected in fatigued in comparison to non-fatigued bone. The developed technologies prove to be very effective tools for advanced 3D imaging of both hard and soft tissue.

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X‐Ray Computed Tomography

Stock

2012

Characterization of Materials

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X‐ray computed tomography (CT) is a powerful technique for noninvasively characterizing materials. This chapter covers x‐ray computed tomography (CT) in its forms spanning large components (booster rockets) to millimeter‐sized material specimens to micrometer‐sized samples. Emphasis is on contrast produced by differences in x‐ray attenuation, although CT using x‐ray phase contrast, x‐ray fluorescence, or x‐ray diffraction is also covered briefly.

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In-line phase contrast in synchrotron-radiation microradiography and tomography

Cited by 23 publications

References 0 publications

Image reconstruction exploiting object sparsity in boundary-enhanced X-ray phase-contrast tomography

Image reconstruction exploiting object sparsity in boundary-enhanced X-ray phase-contrast tomography

Functional micro-imaging of soft and hard tissue using synchrotron light

X‐Ray Computed Tomography

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